From 9920a9f283ce32a207fe47d7dbb3e06c5fe237e2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?= <coroa@posteo.de>
Date: Tue, 6 Jan 2026 09:00:57 +0000
Subject: [PATCH 01/42] fix: compatibility of build_gas_* rules with pyogrio
 >=0.12.0 (#1955)

* fix: compatibility of build_gas_* rules with pyogrio >=0.12.0

pyogrio >=0.12.0 returns JSON fields directly as dicts/lists, so that loading them again
as json fails.

refer to https://github.com/geopandas/pyogrio/releases/tag/v0.12.0 .

* Update release_notes.rst
---
 doc/release_notes.rst                |  2 ++
 scripts/build_gas_input_locations.py |  4 ++--
 scripts/build_gas_network.py         | 11 ++++++++---
 3 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 8df3ff87a..4982ac8ed 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955).
+
 * Added interactive (html) balance maps `results/maps/interactive/` (https://github.com/PyPSA/pypsa-eur/pull/1935) based on https://docs.pypsa.org/latest/user-guide/plotting/explore/. Settings for interactive maps can be found in `plotting.default.yaml` under `plotting["balance_map_interactive"]`.
 
 * Relocated and modified static (pdf) balance maps to `results/maps/static/` (https://github.com/PyPSA/pypsa-eur/pull/1935) for better organization. 
diff --git a/scripts/build_gas_input_locations.py b/scripts/build_gas_input_locations.py
index 2c561bc3a..c1cf0da62 100644
--- a/scripts/build_gas_input_locations.py
+++ b/scripts/build_gas_input_locations.py
@@ -6,13 +6,13 @@
 production sites with data from SciGRID_gas and Global Energy Monitor.
 """
 
-import json
 import logging
 
 import geopandas as gpd
 import pandas as pd
 
 from scripts._helpers import configure_logging, set_scenario_config
+from scripts.build_gas_network import unnest_struct
 from scripts.cluster_gas_network import load_bus_regions
 
 logger = logging.getLogger(__name__)
@@ -20,7 +20,7 @@
 
 def read_scigrid_gas(fn):
     df = gpd.read_file(fn)
-    expanded_param = df.param.apply(json.loads).apply(pd.Series)
+    expanded_param = unnest_struct(df.param)
     df = pd.concat([df, expanded_param], axis=1)
     df.drop(["param", "uncertainty", "method"], axis=1, inplace=True)
     df = df.loc[:, ~df.columns.duplicated()]  # duplicated country_code column
diff --git a/scripts/build_gas_network.py b/scripts/build_gas_network.py
index e407245d0..9b006ed90 100644
--- a/scripts/build_gas_network.py
+++ b/scripts/build_gas_network.py
@@ -53,11 +53,16 @@ def diameter_to_capacity(pipe_diameter_mm):
         return a3 + m3 * pipe_diameter_mm
 
 
+def unnest_struct(s):
+    if isinstance(s.iloc[0], str):
+        s = s.apply(json.loads)
+    return s.apply(pd.Series)
+
+
 def load_dataset(fn):
     df = gpd.read_file(fn)
-    param = df.param.apply(json.loads).apply(pd.Series)
-    cols = ["diameter_mm", "max_cap_M_m3_per_d"]
-    method = df.method.apply(json.loads).apply(pd.Series)[cols]
+    param = unnest_struct(df.param)
+    method = unnest_struct(df.method)[["diameter_mm", "max_cap_M_m3_per_d"]]
     method.columns = method.columns + "_method"
     df = pd.concat([df, param, method], axis=1)
     to_drop = ["param", "uncertainty", "method", "tags"]

From c8870c5ddee5698f18689b604b81f659dc7d383f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 6 Jan 2026 19:44:32 +0000
Subject: [PATCH 02/42] [pre-commit.ci] pre-commit autoupdate (#1954)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.13.3 → v0.14.10](https://github.com/astral-sh/ruff-pre-commit/compare/v0.13.3...v0.14.10)
- [github.com/fsfe/reuse-tool: v6.0.0 → v6.2.0](https://github.com/fsfe/reuse-tool/compare/v6.0.0...v6.2.0)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix: types

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>
---
 .pre-commit-config.yaml                       |  4 +-
 scripts/_helpers.py                           |  4 +-
 scripts/build_co2_sequestration_potentials.py |  6 +--
 .../base_cop_approximator.py                  | 19 +++++-----
 .../central_heating_cop_approximator.py       | 38 +++++++++----------
 .../decentral_heating_cop_approximator.py     | 12 +++---
 .../river_water_heat_approximator.py          |  3 +-
 .../sea_water_heat_approximator.py            |  3 +-
 .../surface_water_heat_approximator.py        |  3 +-
 scripts/plot_heat_source_map.py               |  3 +-
 10 files changed, 43 insertions(+), 52 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 2f195db28..bd4683cdb 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -17,7 +17,7 @@ repos:
 # Run ruff to lint and format
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.13.3
+  rev: v0.14.10
   hooks:
     # Run the linter.
   - id: ruff
@@ -58,6 +58,6 @@ repos:
 
   # Check for FSFE REUSE compliance (licensing)
 - repo: https://github.com/fsfe/reuse-tool
-  rev: v6.0.0
+  rev: v6.2.0
   hooks:
   - id: reuse-lint-file
diff --git a/scripts/_helpers.py b/scripts/_helpers.py
index 9df3cc038..ca4b65ce7 100644
--- a/scripts/_helpers.py
+++ b/scripts/_helpers.py
@@ -8,10 +8,10 @@
 import os
 import re
 import time
+from collections.abc import Callable
 from functools import partial, wraps
 from pathlib import Path
 from tempfile import NamedTemporaryFile
-from typing import Callable, Union
 
 import atlite
 import fiona
@@ -990,7 +990,7 @@ def rename_techs(label: str) -> str:
 
 
 def load_cutout(
-    cutout_files: Union[str, list[str]], time: Union[None, pd.DatetimeIndex] = None
+    cutout_files: str | list[str], time: None | pd.DatetimeIndex = None
 ) -> atlite.Cutout:
     """
     Load and optionally combine multiple cutout files.
diff --git a/scripts/build_co2_sequestration_potentials.py b/scripts/build_co2_sequestration_potentials.py
index a8334dc29..238839b3e 100644
--- a/scripts/build_co2_sequestration_potentials.py
+++ b/scripts/build_co2_sequestration_potentials.py
@@ -7,7 +7,7 @@
 database_en>`_.
 """
 
-from typing import Any, Union
+from typing import Any
 
 import geopandas as gpd
 import numpy as np
@@ -19,8 +19,8 @@
 
 
 def convert_to_2d(
-    geom: Union[sg.base.BaseGeometry, Any],
-) -> Union[sg.base.BaseGeometry, Any]:
+    geom: sg.base.BaseGeometry | Any,
+) -> sg.base.BaseGeometry | Any:
     """
     Remove the third dimension (z-coordinate) from a shapely geometry object.
 
diff --git a/scripts/build_cop_profiles/base_cop_approximator.py b/scripts/build_cop_profiles/base_cop_approximator.py
index a00813673..95436403f 100644
--- a/scripts/build_cop_profiles/base_cop_approximator.py
+++ b/scripts/build_cop_profiles/base_cop_approximator.py
@@ -3,7 +3,6 @@
 # SPDX-License-Identifier: MIT
 
 from abc import ABC, abstractmethod
-from typing import Union
 
 import numpy as np
 import xarray as xr
@@ -35,8 +34,8 @@ class BaseCopApproximator(ABC):
 
     def __init__(
         self,
-        sink_outlet_temperature_celsius: Union[xr.DataArray, np.array],
-        source_inlet_temperature_celsius: Union[xr.DataArray, np.array],
+        sink_outlet_temperature_celsius: xr.DataArray | np.ndarray,
+        source_inlet_temperature_celsius: xr.DataArray | np.ndarray,
     ):
         """
         Initialize CopApproximator.
@@ -51,7 +50,7 @@ def __init__(
         pass
 
     @property
-    def cop(self) -> Union[xr.DataArray, np.array]:
+    def cop(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the coefficient of performance (COP) for the system.
 
@@ -70,7 +69,7 @@ def cop(self) -> Union[xr.DataArray, np.array]:
         return ret_val
 
     @abstractmethod
-    def _approximate_cop(self) -> Union[xr.DataArray, np.array]:
+    def _approximate_cop(self) -> xr.DataArray | np.ndarray:
         """
         Approximate heat pump coefficient of performance (COP).
 
@@ -83,8 +82,8 @@ def _approximate_cop(self) -> Union[xr.DataArray, np.array]:
 
     @staticmethod
     def celsius_to_kelvin(
-        t_celsius: Union[float, xr.DataArray, np.array],
-    ) -> Union[float, xr.DataArray, np.array]:
+        t_celsius: float | xr.DataArray | np.ndarray,
+    ) -> float | xr.DataArray | np.ndarray:
         """
         Convert temperature from Celsius to Kelvin.
 
@@ -106,9 +105,9 @@ def celsius_to_kelvin(
 
     @staticmethod
     def logarithmic_mean(
-        t_hot: Union[float, xr.DataArray, np.ndarray],
-        t_cold: Union[float, xr.DataArray, np.ndarray],
-    ) -> Union[float, xr.DataArray, np.ndarray]:
+        t_hot: float | xr.DataArray | np.ndarray,
+        t_cold: float | xr.DataArray | np.ndarray,
+    ) -> float | xr.DataArray | np.ndarray:
         """
         Calculate the logarithmic mean temperature difference.
 
diff --git a/scripts/build_cop_profiles/central_heating_cop_approximator.py b/scripts/build_cop_profiles/central_heating_cop_approximator.py
index 10e0eb0ad..1c060b7f1 100644
--- a/scripts/build_cop_profiles/central_heating_cop_approximator.py
+++ b/scripts/build_cop_profiles/central_heating_cop_approximator.py
@@ -3,8 +3,6 @@
 # SPDX-License-Identifier: MIT
 
 
-from typing import Union
-
 import numpy as np
 import xarray as xr
 
@@ -110,10 +108,10 @@ class CentralHeatingCopApproximator(BaseCopApproximator):
 
     def __init__(
         self,
-        sink_outlet_temperature_celsius: Union[xr.DataArray, np.array],
-        source_inlet_temperature_celsius: Union[xr.DataArray, np.array],
-        sink_inlet_temperature_celsius: Union[xr.DataArray, np.array],
-        source_outlet_temperature_celsius: Union[xr.DataArray, np.array],
+        sink_outlet_temperature_celsius: xr.DataArray | np.ndarray,
+        source_inlet_temperature_celsius: xr.DataArray | np.ndarray,
+        sink_inlet_temperature_celsius: xr.DataArray | np.ndarray,
+        source_outlet_temperature_celsius: xr.DataArray | np.ndarray,
         refrigerant: str,
         delta_t_pinch_point: float,
         isentropic_compressor_efficiency: float,
@@ -163,7 +161,7 @@ def __init__(
         self.delta_t_pinch = delta_t_pinch_point
         self.min_delta_t_lift = min_delta_t_lift
 
-    def _approximate_cop(self) -> Union[xr.DataArray, np.array]:
+    def _approximate_cop(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the coefficient of performance (COP) for the system.
 
@@ -203,7 +201,7 @@ def _approximate_cop(self) -> Union[xr.DataArray, np.array]:
         )
 
     @property
-    def t_sink_mean_kelvin(self) -> Union[xr.DataArray, np.array]:
+    def t_sink_mean_kelvin(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the logarithmic mean temperature difference between the cold
         and hot sinks.
@@ -218,7 +216,7 @@ def t_sink_mean_kelvin(self) -> Union[xr.DataArray, np.array]:
         )
 
     @property
-    def t_source_mean_kelvin(self) -> Union[xr.DataArray, np.array]:
+    def t_source_mean_kelvin(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the logarithmic mean temperature of the heat source.
 
@@ -232,7 +230,7 @@ def t_source_mean_kelvin(self) -> Union[xr.DataArray, np.array]:
         )
 
     @property
-    def delta_t_mean_lift(self) -> Union[xr.DataArray, np.array]:
+    def delta_t_mean_lift(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the temperature lift as the difference between the
         logarithmic sink and source temperatures.
@@ -245,7 +243,7 @@ def delta_t_mean_lift(self) -> Union[xr.DataArray, np.array]:
         return self.t_sink_mean_kelvin - self.t_source_mean_kelvin
 
     @property
-    def delta_t_lift(self) -> Union[xr.DataArray, np.array]:
+    def delta_t_lift(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the temperature lift as the difference between the
         sink and source temperatures.
@@ -253,7 +251,7 @@ def delta_t_lift(self) -> Union[xr.DataArray, np.array]:
         return self.t_sink_out_kelvin - self.t_source_in_kelvin
 
     @property
-    def ideal_lorenz_cop(self) -> Union[xr.DataArray, np.array]:
+    def ideal_lorenz_cop(self) -> xr.DataArray | np.ndarray:
         """
         Ideal Lorenz coefficient of performance (COP).
 
@@ -268,7 +266,7 @@ def ideal_lorenz_cop(self) -> Union[xr.DataArray, np.array]:
         return self.t_sink_mean_kelvin / self.delta_t_mean_lift
 
     @property
-    def delta_t_refrigerant_source(self) -> Union[xr.DataArray, np.array]:
+    def delta_t_refrigerant_source(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the temperature difference between the refrigerant source
         inlet and outlet.
@@ -283,7 +281,7 @@ def delta_t_refrigerant_source(self) -> Union[xr.DataArray, np.array]:
         )
 
     @property
-    def delta_t_refrigerant_sink(self) -> Union[xr.DataArray, np.array]:
+    def delta_t_refrigerant_sink(self) -> xr.DataArray | np.ndarray:
         """
         Temperature difference between the refrigerant and the sink based on
         approximation.
@@ -296,7 +294,7 @@ def delta_t_refrigerant_sink(self) -> Union[xr.DataArray, np.array]:
         return self._approximate_delta_t_refrigerant_sink(self.refrigerant)
 
     @property
-    def ratio_evaporation_compression_work(self) -> Union[xr.DataArray, np.array]:
+    def ratio_evaporation_compression_work(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the ratio of evaporation to compression work based on
         approximation.
@@ -309,7 +307,7 @@ def ratio_evaporation_compression_work(self) -> Union[xr.DataArray, np.array]:
         return self._ratio_evaporation_compression_work_approximation(self.refrigerant)
 
     @property
-    def delta_t_sink(self) -> Union[xr.DataArray, np.array]:
+    def delta_t_sink(self) -> xr.DataArray | np.ndarray:
         """
         Calculate the temperature difference at the sink.
 
@@ -321,8 +319,8 @@ def delta_t_sink(self) -> Union[xr.DataArray, np.array]:
         return self.t_sink_out_kelvin - self.t_sink_in_kelvin
 
     def _approximate_delta_t_refrigerant_source(
-        self, delta_t_source: Union[xr.DataArray, np.array]
-    ) -> Union[xr.DataArray, np.array]:
+        self, delta_t_source: xr.DataArray | np.ndarray
+    ) -> xr.DataArray | np.ndarray:
         """
         Approximates the temperature difference between the refrigerant and the
         source.
@@ -345,7 +343,7 @@ def _approximate_delta_t_refrigerant_sink(
         a: float = {"ammonia": 0.2, "isobutane": -0.0011},
         b: float = {"ammonia": 0.2, "isobutane": 0.3},
         c: float = {"ammonia": 0.016, "isobutane": 2.4},
-    ) -> Union[xr.DataArray, np.array]:
+    ) -> xr.DataArray | np.ndarray:
         """
         Approximates the temperature difference between the refrigerant and
         heat sink.
@@ -394,7 +392,7 @@ def _ratio_evaporation_compression_work_approximation(
         a: float = {"ammonia": 0.0014, "isobutane": 0.0035},
         b: float = {"ammonia": -0.0015, "isobutane": -0.0033},
         c: float = {"ammonia": 0.039, "isobutane": 0.053},
-    ) -> Union[xr.DataArray, np.array]:
+    ) -> xr.DataArray | np.ndarray:
         """
         Calculate the ratio of evaporation to compression work approximation.
 
diff --git a/scripts/build_cop_profiles/decentral_heating_cop_approximator.py b/scripts/build_cop_profiles/decentral_heating_cop_approximator.py
index f49b27f73..277d2d1fc 100644
--- a/scripts/build_cop_profiles/decentral_heating_cop_approximator.py
+++ b/scripts/build_cop_profiles/decentral_heating_cop_approximator.py
@@ -3,8 +3,6 @@
 # SPDX-License-Identifier: MIT
 
 
-from typing import Union
-
 import numpy as np
 import xarray as xr
 
@@ -45,8 +43,8 @@ class DecentralHeatingCopApproximator(BaseCopApproximator):
 
     def __init__(
         self,
-        sink_outlet_temperature_celsius: Union[xr.DataArray, np.array],
-        source_inlet_temperature_celsius: Union[xr.DataArray, np.array],
+        sink_outlet_temperature_celsius: xr.DataArray | np.ndarray,
+        source_inlet_temperature_celsius: xr.DataArray | np.ndarray,
         source_type: str,
     ):
         """
@@ -70,7 +68,7 @@ def __init__(
         else:
             self.source_type = source_type
 
-    def _approximate_cop(self) -> Union[xr.DataArray, np.array]:
+    def _approximate_cop(self) -> xr.DataArray | np.ndarray:
         """
         Compute the COP values using quadratic regression for air-/ground-
         source heat pumps.
@@ -85,7 +83,7 @@ def _approximate_cop(self) -> Union[xr.DataArray, np.array]:
         elif self.source_type == "ground":
             return self._approximate_cop_ground_source()
 
-    def _approximate_cop_air_source(self) -> Union[xr.DataArray, np.array]:
+    def _approximate_cop_air_source(self) -> xr.DataArray | np.ndarray:
         """
         Evaluate quadratic regression for an air-sourced heat pump.
 
@@ -98,7 +96,7 @@ def _approximate_cop_air_source(self) -> Union[xr.DataArray, np.array]:
         """
         return 6.81 - 0.121 * self.delta_t + 0.000630 * self.delta_t**2
 
-    def _approximate_cop_ground_source(self) -> Union[xr.DataArray, np.array]:
+    def _approximate_cop_ground_source(self) -> xr.DataArray | np.ndarray:
         """
         Evaluate quadratic regression for a ground-sourced heat pump.
 
diff --git a/scripts/build_surface_water_heat_potentials/approximators/river_water_heat_approximator.py b/scripts/build_surface_water_heat_potentials/approximators/river_water_heat_approximator.py
index 5a9caa942..b23f29114 100644
--- a/scripts/build_surface_water_heat_potentials/approximators/river_water_heat_approximator.py
+++ b/scripts/build_surface_water_heat_potentials/approximators/river_water_heat_approximator.py
@@ -2,7 +2,6 @@
 #
 # SPDX-License-Identifier: MIT
 import warnings
-from typing import Union
 
 import geopandas as gpd
 import numpy as np
@@ -29,7 +28,7 @@ def __init__(
         self,
         volume_flow: xr.DataArray,
         ambient_temperature: xr.DataArray,
-        region: Union[shapely.geometry.polygon.Polygon, gpd.GeoSeries],
+        region: shapely.geometry.polygon.Polygon | gpd.GeoSeries,
         max_relative_volume_flow: float = 1.0,
         delta_t_max: float = 1,
         min_outlet_temperature: float = 1,
diff --git a/scripts/build_surface_water_heat_potentials/approximators/sea_water_heat_approximator.py b/scripts/build_surface_water_heat_potentials/approximators/sea_water_heat_approximator.py
index a0b74dceb..6ff15dc74 100644
--- a/scripts/build_surface_water_heat_potentials/approximators/sea_water_heat_approximator.py
+++ b/scripts/build_surface_water_heat_potentials/approximators/sea_water_heat_approximator.py
@@ -2,7 +2,6 @@
 #
 # SPDX-License-Identifier: MIT
 import logging
-from typing import Union
 
 import geopandas as gpd
 import shapely
@@ -30,7 +29,7 @@ class SeaWaterHeatApproximator(SurfaceWaterHeatApproximator):
     def __init__(
         self,
         water_temperature: xr.DataArray,
-        region: Union[shapely.geometry.polygon.Polygon, gpd.GeoSeries],
+        region: shapely.geometry.polygon.Polygon | gpd.GeoSeries,
         min_inlet_temperature: float = 1,
     ) -> None:
         # buffer the region geometry by half the data resolution
diff --git a/scripts/build_surface_water_heat_potentials/approximators/surface_water_heat_approximator.py b/scripts/build_surface_water_heat_potentials/approximators/surface_water_heat_approximator.py
index ed4bb4bc3..41c8f283e 100644
--- a/scripts/build_surface_water_heat_potentials/approximators/surface_water_heat_approximator.py
+++ b/scripts/build_surface_water_heat_potentials/approximators/surface_water_heat_approximator.py
@@ -4,7 +4,6 @@
 import logging
 from abc import ABC
 from functools import cached_property
-from typing import Union
 
 import geopandas as gpd
 import numpy as np
@@ -33,7 +32,7 @@ def __init__(
         self,
         volume_flow: xr.DataArray,
         water_temperature: xr.DataArray,
-        region: Union[shapely.geometry.polygon.Polygon, gpd.GeoSeries],
+        region: shapely.geometry.polygon.Polygon | gpd.GeoSeries,
         max_relative_volume_flow: float = 1.0,
         delta_t_max: float = 4,
         min_outlet_temperature: float = 1,
diff --git a/scripts/plot_heat_source_map.py b/scripts/plot_heat_source_map.py
index 159b0575f..aeffd5a92 100644
--- a/scripts/plot_heat_source_map.py
+++ b/scripts/plot_heat_source_map.py
@@ -46,7 +46,6 @@
 """
 
 import logging
-from typing import Optional
 
 import folium
 import geopandas as gpd
@@ -67,7 +66,7 @@ def plot_heat_source_map(
     longitude_name: str = "longitude",
     latitude_name: str = "latitude",
     onshore_region_name: str = "name",
-    title: Optional[str] = None,
+    title: str | None = None,
     cmap: str = "viridis",
     aggregate_type: str = "mean",  # 'mean' for temperature, 'sum' for energy
 ) -> folium.Map:

From 0d76b18dbbb41e71c0dc0101ce3855f576d9f8c9 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Wed, 7 Jan 2026 11:43:54 +0100
Subject: [PATCH 03/42] doc: fix PR template hyperlink (#1957)

---
 .github/pull_request_template.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 1889cb0bb..7771ec10a 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -10,5 +10,5 @@ Closes # (if applicable).
 - [ ] Changed dependencies are added to `pixi.toml` (using `pixi add <dependency-name>`).
 - [ ] Changes in configuration options are added in `config/config.default.yaml`.
 - [ ] Changes in configuration options are documented in `doc/configtables/*.csv`.
-- [ ] For new data sources or versions, `these instructions <https://pypsa-eur.readthedocs.io/en/latest/data_sources.html>`_ have been followed.
+- [ ] For new data sources or versions, [these instructions](https://pypsa-eur.readthedocs.io/en/latest/data_sources.html) have been followed.
 - [ ] A release note `doc/release_notes.rst` is added.

From 9e631e02c8471515015e7dd9c46a26dddccb363b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?= <coroa@posteo.de>
Date: Wed, 7 Jan 2026 13:10:07 +0000
Subject: [PATCH 04/42] fix: add pydeck lower version bound that was missing
 from pypsa <1.0.6 (#1959)

---
 pixi.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pixi.toml b/pixi.toml
index 306dacac5..fda036f49 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -70,6 +70,7 @@ powerplantmatching = ">=0.5.15"
 pre-commit = ">=4.3.0"
 proj = ">=9.6.2"
 pylint = ">=4.0.2"
+pydeck = ">0.6"  # pypsa fails to import with pydeck <0.6, lower bound was only added from pypsa 1.0.6
 pypsa = ">=0.35.2"
 pyscipopt = ">=5.6.0"
 pytables = ">=3.10.2"

From 347fd2785ea1a46212989426b1fe7a214aafeeb2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?= <coroa@posteo.de>
Date: Mon, 12 Jan 2026 08:36:43 +0000
Subject: [PATCH 05/42] fix: fix compatibility with numpy >=2 (#1958)

---
 scripts/make_cumulative_costs.py | 8 +++++++-
 scripts/make_summary_perfect.py  | 8 +++++++-
 2 files changed, 14 insertions(+), 2 deletions(-)

diff --git a/scripts/make_cumulative_costs.py b/scripts/make_cumulative_costs.py
index 2ad00c29f..223787f88 100644
--- a/scripts/make_cumulative_costs.py
+++ b/scripts/make_cumulative_costs.py
@@ -10,6 +10,12 @@
 import numpy as np
 import pandas as pd
 
+try:
+    from numpy import trapezoid
+except ImportError:
+    # before numpy 2.0
+    from numpy import trapz as trapezoid
+
 from scripts._helpers import configure_logging, set_scenario_config
 
 idx = pd.IndexSlice
@@ -34,7 +40,7 @@ def calculate_cumulative_cost(costs, planning_horizons):
         for cluster in cumulative_cost.index.get_level_values(level=0).unique():
             for sector_opts in cumulative_cost.index.get_level_values(level=1).unique():
                 cumulative_cost.loc[(cluster, sector_opts, "cumulative cost"), r] = (
-                    np.trapz(
+                    trapezoid(
                         cumulative_cost.loc[
                             idx[cluster, sector_opts, planning_horizons], r
                         ].values,
diff --git a/scripts/make_summary_perfect.py b/scripts/make_summary_perfect.py
index dc83e782d..d8b4e4c6b 100644
--- a/scripts/make_summary_perfect.py
+++ b/scripts/make_summary_perfect.py
@@ -13,6 +13,12 @@
 from pypsa.descriptors import get_active_assets
 from six import iteritems
 
+try:
+    from numpy import trapezoid
+except ImportError:
+    # before numpy 2.0
+    from numpy import trapz as trapezoid
+
 from scripts._helpers import load_costs, set_scenario_config
 from scripts.make_summary import (
     assign_carriers,
@@ -140,7 +146,7 @@ def calculate_cumulative_cost():
         for cluster in cumulative_cost.index.get_level_values(level=0).unique():
             for sector_opts in cumulative_cost.index.get_level_values(level=1).unique():
                 cumulative_cost.loc[(cluster, sector_opts, "cumulative cost"), r] = (
-                    np.trapz(
+                    trapezoid(
                         cumulative_cost.loc[
                             idx[cluster, sector_opts, planning_horizons], r
                         ].values,

From fbeb4d8547e635dd9d18d6c5b0923e02d27e32f0 Mon Sep 17 00:00:00 2001
From: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
Date: Mon, 12 Jan 2026 09:37:05 +0100
Subject: [PATCH 06/42] fix: Version controlled data layer (#1963)

* code: Make path relative to current snakefile

* doc: Add release notes on data layer
---
 doc/release_notes.rst |  2 ++
 rules/common.smk      | 12 ++++++++++--
 2 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 4982ac8ed..9ce79fdda 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -116,6 +116,8 @@ Upcoming Release
 
 * Added minimum unit dispatch setting option for electrolysis
 
+* Feature: All input data to the model is now version controlled. The data versions are listed in `data/versions.csv` and can be configured in the configfile. (https://github.com/PyPSA/pypsa-eur/pull/1675)
+
 * Deprecate `shared_cutouts`: This configuration entry is no longer supported. Cutouts are always shared.
   To use scenario specific cutouts with different time or spatial resolution, make sure to name those cutouts differently in the `atlite:` configuration entry.
 
diff --git a/rules/common.smk b/rules/common.smk
index ec153863f..6d752cf97 100644
--- a/rules/common.smk
+++ b/rules/common.smk
@@ -86,7 +86,11 @@ def config_provider(*keys, default=None):
 @lru_cache
 def load_data_versions(file_path):
     data_versions = pd.read_csv(
-        file_path, dtype=str, na_filter=False, delimiter=",", comment="#"
+        file_path,
+        dtype=str,
+        na_filter=False,
+        delimiter=",",
+        comment="#",
     )
 
     # Turn 'tags' column from string representation of list to individual columns
@@ -122,7 +126,11 @@ def dataset_version(
     dataset_config = config["data"][
         name
     ]  # TODO as is right now, it is not compatible with config_provider
-    data_versions = load_data_versions("data/versions.csv")
+
+    # To use PyPSA-Eur as a snakemake module, the path to the versions.csv file needs to be
+    # registered relative to the current file with Snakemake:
+    fp = workflow.source_path("../data/versions.csv")
+    data_versions = load_data_versions(fp)
 
     dataset = data_versions.loc[
         (data_versions["dataset"] == name)

From ab01bff90c74c0b2348eade63117e2701ffd8184 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Wed, 14 Jan 2026 17:09:18 +0100
Subject: [PATCH 07/42] [github-actions.ci] Update locked envs (#1953)

* Update locked environment files for all platforms

* trigger

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>
---
 envs/default_linux-64.pin.txt  |   262 +-
 envs/default_osx-64.pin.txt    |   362 +-
 envs/default_osx-arm64.pin.txt |   362 +-
 envs/default_win-64.pin.txt    |   354 +-
 envs/environment.yaml          |     1 +
 pixi.lock                      | 12581 ++++++++++++++++++++-----------
 6 files changed, 8675 insertions(+), 5247 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index b5c623411..3d533f86a 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -1,7 +1,7 @@
 # Generated by `pixi workspace export`
 # platform: linux-64
 @EXPLICIT
-https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-h8577fbf_0.conda#338201218b54cadff2e774ac27733990
+https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_16.conda#26c46f90d0e727e95c6c9498a33a09f3
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
@@ -10,34 +10,34 @@ https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#e
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda#86bc20552bf46075e3d92b67f089172d
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
-https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.11.12-hbd8a1cb_0.conda#f0991f0f84902f6b6009b4d2350a83aa
+https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda#bddacf101bb4dd0e51811cb69c7790e2
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.0-h26f9b46_0.conda#9ee58d5c534af06558933af3c845a780
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_16.conda#5a68259fac2da8f2ee6f7bfe49c9eb8b
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.2-h5347b49_1.conda#41f5c09a211985c3ce642d60721e7c3e
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.1-h0c1763c_0.conda#2e1b84d273b01835256e53fd938de355
+https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda#db409b7c1720428638e7c0d509d3e1b5
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_16.conda#68f68355000ec3f1d6f26ea13e8f525f
+https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda#186a18e3ba246eccfc7cff00cd19a870
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.2-hf4e2dac_0.conda#da5be73701eecd0e8454423fd6ffcf30
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda#1a580f7796c7bf6393fddb8bbbde58dc
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h9ec8514_0.conda#35f29eec58405aaf55e01cb470d8c26a
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.3-hecca717_0.conda#8b09ae86839581147ef2e5c5e229d164
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
-https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45-default_hbd61a6d_104.conda#a6abd2796fc332536735f68ba23f7901
+https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45-default_hbd61a6d_105.conda#3ec0aa5037d39b06554109a01e6fb0c6
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda#51a19bba1b8ebfb60df25cde030b7ebc
 https://conda.anaconda.org/conda-forge/linux-64/python-3.12.12-hd63d673_1_cpython.conda#5c00c8cea14ee8d02941cab9121dce41
 https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#962b9857ee8e7018c22f2776ffa0b2d7
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.1-pyhd8ed1ab_1.conda#9efbfdc37242619130ea42b1cc4ed861
 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
 https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda#c3efd25ac4d74b1584d2f7a57195ddf1
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_16.conda#68f68355000ec3f1d6f26ea13e8f525f
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_16.conda#1b3152694d236cf233b76b8c56bf0eae
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_16.conda#39183d4e0c05609fd65f130633194e37
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_16.conda#40d9b534410403c821ff64f00d0adc22
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_4.conda#be43915efc66345cccb3c310b6ed0374
 https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-5_h4a7cf45_openblas.conda#c160954f7418d7b6e87eaf05a8913fa9
 https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda#b38076eb5c8e40d0106beda6f95d7609
 https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda#6636a2b6f1a87572df2970d3ebc87cc0
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda#d8285bea2a350f63fab23bf460221f3f
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.16.3-py312h7a1785b_1.conda#c6e0e1f1d9ac014a980574cfe8caa25f
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.1-py312h33ff503_0.conda#ba7e6cb06c372eae6f164623e6e06db8
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py312h54fa4ab_0.conda#9faccce05511d05f22001ecc2dfe78de
 https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda#4de79c071274a53dcaf2a8c749d1499e
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
 https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py312h3226591_1.conda#38decbeae260892040709cafc0514162
@@ -67,12 +67,12 @@ https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda#0a802cb9888dd14eeefc611f05c40b6e
 https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda#164fc43f0b53b6e3a7bc7dce5e4f1dc9
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda#64088dffd7413a2dd557ce837b4cbbdb
-https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.2.0-py312h90b7ffd_0.conda#9fc7e65938c0e4b2658631b8bfd380e8
-https://conda.anaconda.org/conda-forge/noarch/urllib3-2.6.2-pyhd8ed1ab_0.conda#4949ca7b83065cfe94ebe320aece8c72
+https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py312h90b7ffd_0.conda#5b8c55fed2e576dde4b0b33693a4fdb1
+https://conda.anaconda.org/conda-forge/noarch/urllib3-2.6.3-pyhd8ed1ab_0.conda#9272daa869e03efe68833e3dc7a02130
 https://conda.anaconda.org/conda-forge/noarch/idna-3.11-pyhd8ed1ab_0.conda#53abe63df7e10a6ba605dc5f9f961d36
 https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda#a22d1fd9bf98827e280a02875d9a007a
-https://conda.anaconda.org/conda-forge/noarch/certifi-2025.11.12-pyhd8ed1ab_0.conda#96a02a5c1a65470a7e4eedb644c872fd
-https://conda.anaconda.org/conda-forge/noarch/requests-2.32.5-pyhd8ed1ab_0.conda#db0c6b99149880c8ba515cf4abe93ee4
+https://conda.anaconda.org/conda-forge/noarch/certifi-2026.1.4-pyhd8ed1ab_0.conda#eacc711330cd46939f66cd401ff9c44b
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.5-pyhcf101f3_1.conda#c65df89a0b2e321045a9e01d1337b182
 https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.10.1-pyhd8ed1ab_0.conda#84c5c40ea7c5bbc6243556e5daed20e7
 https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
 https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda#648ee28dcd4e07a1940a17da62eccd40
@@ -83,9 +83,9 @@ https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-1.4.0-pyhd8ed1ab
 https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.0-pyhdfd78af_0.tar.bz2#269943ac6637718947763b4f989710fc
 https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.5.1-pyhcf101f3_0.conda#1bd2e65c8c7ef24f4639ae6e850dacc2
 https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_2.conda#03fe290994c5e4ec17293cfb6bdce520
-https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhd8ed1ab_0.conda#4b69232755285701bc86a5afe4d9933a
+https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda#b8993c19b0c32a2f7b66cbb58ca27069
 https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda#8e662bd460bda79b1ea39194e3c4c9ab
-https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.0-pyhcf101f3_0.conda#9958d4a1ee7e9c768fe8f4fb51bd07ea
+https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda#11a2b8c732d215d977998ccd69a9d5e8
 https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.9-pyh29332c3_0.conda#4f14640d58e2cc0aa0819d9d8ba125bb
 https://conda.anaconda.org/conda-forge/noarch/httpx-0.28.1-pyhd8ed1ab_0.conda#d6989ead454181f4f9bc987d3dc4e285
 https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda#17232431f65ce347f972f0fd95d2e97a
@@ -102,14 +102,14 @@ https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.0-pyhcf101f3_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-5_h6ae95b6_openblas.conda#e487a0e38d89da76410cb92a5db39ec5
 https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.12-hc93afbd_7.conda#42539e27d7bf055ea723a66aa381c04b
 https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.11-hf4fecb4_8.conda#61fcb2852d3f1d6c120a941f66db032c
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.10-hc03379b_3.conda#36a0b880feba1c1a14a37eb95b3d8dd6
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.9-hc46dffc_6.conda#e98b685998df1badbaf1245f67b909a3
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.12-h4d16d09_4.conda#603a1a18878030b5e6793ba558fac972
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.5-pyhcf101f3_0.conda#6c8979be6d7a17692793114fa26916e8
-https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.3-pyhd8ed1ab_0.conda#abbe8c85619c87c4f4f61b44173434af
+https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.10-hc03379b_4.conda#2646b9648d2cc643eddbe0e440f57fe6
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index f7d60f82c..ce2d9017b 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -1,25 +1,25 @@
 # Generated by `pixi workspace export`
 # platform: osx-64
 @EXPLICIT
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index d49766d92..f0b622b50 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -1,24 +1,26 @@
 # Generated by `pixi workspace export`
 # platform: osx-arm64
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 1e5d1e1e2..a284d679e 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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 # platform: win-64
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@@ -499,7 +501,7 @@ https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#
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+https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.44.0-py313h0591002_1.conda#0de0cc9bdbefa9af557c42e26792a6ca
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diff --git a/envs/environment.yaml b/envs/environment.yaml
index 4fbaa7f52..e4c7ede15 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -40,6 +40,7 @@ dependencies:
 - pre-commit >=4.3.0
 - proj >=9.6.2
 - pylint >=4.0.2
+- pydeck >0.6
 - pypsa >=0.35.2
 - pyscipopt >=5.6.0
 - pytables >=3.10.2
diff --git a/pixi.lock b/pixi.lock
index 838b1297a..ac6a5b162 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -13,20 +13,20 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.2-py312h27b7581_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py312h5d8c7f2_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.14-hb9d3cd8_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.0-pyhcf101f3_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.2-py312h7900ff3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
@@ -54,15 +54,15 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.2.0-py312h90b7ffd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py312h90b7ffd_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
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   license_family: MIT
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-  timestamp: 1764018063640
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+  - vc >=14.3,<15
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   license: LGPL-2.1-only or MPL-1.1
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+  - pyshp >=2.3
+  - python >=3.14.0rc2,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  - shapely >=2.0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 1557508
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py313h2f264a9_1.conda
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
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+  - shapely >=2.0
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+  - pyshp >=2.3
+  - python >=3.14.0rc2,<3.15.0a0
+  - python_abi 3.14.* *_cp314
   - shapely >=2.0
   license: BSD-3-Clause
   license_family: BSD
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-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
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+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   - shapely >=2.0
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+  - python >=3.14.0rc2,<3.15.0a0 *_cp314
+  - python_abi 3.14.* *_cp314
+  - shapely >=2.0
+  license: BSD-3-Clause
+  license_family: BSD
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   license: BSD-3-Clause
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   timestamp: 1765818857876
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   timestamp: 1765819090240
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/liblapacke-3.11.0-5_h94b3770_openblas.conda
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   license: BSD-3-Clause
   license_family: BSD
-  size: 13779090
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 - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
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   license: HPND
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+  license: HPND
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   license: HPND
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/pixman-0.46.4-h54a6638_1.conda
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   size: 23922
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+  md5: 0a8b38871cab04059c1cc04853b415a2
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   - packaging
@@ -18879,8 +20986,8 @@ packages:
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   license: MIT
   license_family: MIT
-  size: 5179039
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 - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda
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   md5: d7585b6550ad04c8c5e21097ada2888e
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   size: 49052
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-- conda: https://conda.anaconda.org/conda-forge/noarch/polars-1.36.1-pyh6a1acc5_0.conda
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+  - polars-runtime-32 ==1.37.1
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-  - polars-runtime-32 ==1.36.1
-  - polars-runtime-64 ==1.36.1
-  - polars-runtime-compat ==1.36.1
+  - polars-runtime-32 ==1.37.1
+  - polars-runtime-64 ==1.37.1
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+  - setuptools >=0.9.8
+  - snuggs >=1.4.1
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+- conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.5.0-py314h807bb43_0.conda
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   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: Apache-2.0
   license_family: Apache
-  size: 141998
-  timestamp: 1761337573480
+  size: 142329
+  timestamp: 1761337622076
 - conda: https://conda.anaconda.org/conda-forge/noarch/yte-1.9.4-pyhd8ed1ab_0.conda
   sha256: 1ad021f32290e72b70a84dfe0c9b278c61aaa1254f1e1c287d68c32ee4f1093f
   md5: 89d5edf5d52d3bc1ed4d7d3feef508ba
@@ -23992,44 +27407,48 @@ packages:
   license_family: Other
   size: 107439
   timestamp: 1727963788936
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.2-h54a6638_0.conda
-  sha256: 0afb07f3511031c35202036e2cd819c90edaa0c6a39a7a865146d3cb066bec96
-  md5: 0faadd01896315ceea58bcc3479b1d21
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.2-hceb46e0_1.conda
+  sha256: f2b6a175677701a0b6ce556b3bd362dc94a4e36ffcd10e3860e52ca036b4ad96
+  md5: 40feea2979654ed579f1cda7c63ccb94
   depends:
-  - libgcc >=14
   - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
   - libstdcxx >=14
   license: Zlib
-  size: 135032
-  timestamp: 1764715875371
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-ng-2.3.2-h53ec75d_0.conda
-  sha256: 9183b2ada178d83ca6f8a66ba2ddcfb5f2476c2e866a4609c1f84dd5f32d796e
-  md5: 1e979f90e823b82604ab1da7e76c75e5
+  license_family: Other
+  size: 122303
+  timestamp: 1766076745735
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-ng-2.3.2-h8bce59a_1.conda
+  sha256: 945725769bc668435af1c23733c3c1dba01eb115ad3bad5393c9df2e23de6cfc
+  md5: cdd69480d52f2b871fad1a91324d9942
   depends:
   - __osx >=10.13
   - libcxx >=19
   license: Zlib
-  size: 135199
-  timestamp: 1764716055794
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-ng-2.3.2-h248ca61_0.conda
-  sha256: 2fe2befe061a51c24fce7f5f071c47b45b43f8c8781c0c557edf7c733ab13b18
-  md5: c2a30a3b30cf86ef97ec880d53a6571a
+  license_family: Other
+  size: 120585
+  timestamp: 1766077108928
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-ng-2.3.2-hed4e4f5_1.conda
+  sha256: ab481487381a6a6213d667e883252e52b8ca867b3b466c31a058126f964efffe
+  md5: 75f39a44c08cb5dc4ea847698de34ba3
   depends:
-  - libcxx >=19
   - __osx >=11.0
+  - libcxx >=19
   license: Zlib
-  size: 105035
-  timestamp: 1764716000870
-- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.3.2-h5112557_0.conda
-  sha256: 331e63a801efc9aa47e0a7f7be5becc81d9c52c1163308182078108e003c12e5
-  md5: 2b4f8712b09b5fd3182cda872ce8482c
+  license_family: Other
+  size: 94882
+  timestamp: 1766076931977
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.3.2-h0261ad2_1.conda
+  sha256: e058e925bed8d9e5227cecc098e02992813046fd89206194435e975a9f6eff56
+  md5: bc2fba648e1e784c549e20bbe1a8af40
   depends:
+  - ucrt >=10.0.20348.0
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
   license: Zlib
-  size: 134848
-  timestamp: 1764715928393
+  license_family: Other
+  size: 123890
+  timestamp: 1766076739436
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
   sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
   md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829

From 09fed8038f38c0588a2cb5f6f80cf96414804fb1 Mon Sep 17 00:00:00 2001
From: jonathan-peel <52451628+jonathan-peel@users.noreply.github.com>
Date: Wed, 14 Jan 2026 18:05:13 +0100
Subject: [PATCH 08/42] Bugfix pypsa eur as snakemake module (#1967)

* Fix Bug 1: Resolve double prefixing caused by f-string coercion.

* Fix Bug 2: Rule retrieve_co2stop not saving files in correct location.
Fix by making filepaths relative to an input or output location.

* Fix Bug 3: make filepaths in rule retrieve_corine relative to the zip_file in `input`

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Updated release notes

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---
 doc/release_notes.rst       | 2 ++
 rules/build_electricity.smk | 2 +-
 rules/retrieve.smk          | 7 ++++---
 3 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 9ce79fdda..e6f493cba 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix bugs when using PyPSA-Eur as a Snakemake module by making sure that all file paths are defined relative to a rule's input or an output (https://github.com/PyPSA/pypsa-eur/pull/1967).
+
 * Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955).
 
 * Added interactive (html) balance maps `results/maps/interactive/` (https://github.com/PyPSA/pypsa-eur/pull/1935) based on https://docs.pypsa.org/latest/user-guide/plotting/explore/. Settings for interactive maps can be found in `plotting.default.yaml` under `plotting["balance_map_interactive"]`.
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index 4c60e850e..747b14a1a 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -268,7 +268,7 @@ rule determine_availability_matrix:
         renewable=config_provider("renewable"),
     input:
         unpack(input_ua_md_availability_matrix),
-        corine=ancient(f"{rules.retrieve_corine.output['tif_file']}"),
+        corine=ancient(rules.retrieve_corine.output["tif_file"]),
         natura=lambda w: (
             f"{NATURA_DATASET["folder"]}/natura.tiff"
             if config_provider("renewable", w.technology, "natura")(w)
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index eb641e981..110a3f0b6 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -84,8 +84,7 @@ if (CORINE_DATASET := dataset_version("corine"))["source"] in ["archive"]:
             unpack_archive(input["zip_file"], output_folder)
             copy2(input["zip_file"], output["zip_file"])
             copy2(
-                f"{CORINE_DATASET['folder']}/corine/g250_clc06_V18_5.tif",
-                output["tif_file"],
+                f"{output_folder}/corine/g250_clc06_V18_5.tif", output["tif_file"]
             )
 
 elif (CORINE_DATASET := dataset_version("corine"))["source"] in ["primary"]:
@@ -615,8 +614,10 @@ if (CO2STOP_DATASET := dataset_version("co2stop"))["source"] in [
             traps_table3=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_DataInterrogationSystem/Hydrocarbon_Traps1.csv",
             traps_map=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_Polygons Data/DaughterUnits_March13.kml",
         run:
+            output_folder = Path(output["zip_file"]).parent
+            output_folder.mkdir(parents=True, exist_ok=True)
             copy2(input["zip_file"], output["zip_file"])
-            unpack_archive(output["zip_file"], CO2STOP_DATASET["folder"])
+            unpack_archive(output["zip_file"], output_folder)
 
 
 if (GEM_EUROPE_GAS_TRACKER_DATASET := dataset_version("gem_europe_gas_tracker"))[

From 006d74e0053f9396311436a470bfa1cb96fb2867 Mon Sep 17 00:00:00 2001
From: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
Date: Wed, 14 Jan 2026 19:03:21 +0100
Subject: [PATCH 09/42] doc: Correct section indent for data inventory (#1973)

---
 doc/data_sources.rst | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/doc/data_sources.rst b/doc/data_sources.rst
index 1a2ceb8be..15cdc37fd 100644
--- a/doc/data_sources.rst
+++ b/doc/data_sources.rst
@@ -92,12 +92,12 @@ It is also possible to use the helper script in ``scripts/create_zenodo_depositi
     * ``doc/configtables/data.csv`` for the documentation
     * ``data_sources.rst`` data inventory for PyPSA-Eur
 
-==============
+##############
 Data inventory
-==============
+##############
 
 .. csv-table::
    :header-rows: 1
    :class: longtable
    :widths: auto
-   :file: data_inventory.csv
\ No newline at end of file
+   :file: data_inventory.csv

From 8b064878af965f1d03ba3c2c3977c02cfb8424e5 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Thu, 15 Jan 2026 09:44:12 +0100
Subject: [PATCH 10/42] Config Validation with Pydantic (#1912)

* minimal version

* new `config.default.yaml`

* exclude schema from pre-commit

* add model for default config

* add `schema.json`

* ci: add schema in sync check

* duck type model schema

* show schema in docs

* move ci check to unit test

* updade lock file and add data.py schema

* update schema

* fix pre-commit, split workflow

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* shorten workflow name

* fix undocumented literals

* merge changes from #1940

* fix docs

* feat: add relative schema definition to config files

* feat: add relative schema definition to config/examples files

Maybe we don't want that, since those would be moved to config/... when being used and
then the link would be broken?

* feat: Use ruamel to add comments back into the config.default.yaml

* fix: readd newlines between top-level sections

* fix(doc): fix broken references

* feat: convert pydantic description links to rst

* feat: add markdownDescription attributes for schema links

* fix literal-includes in docs

* add contributing docs, switch yaml with description in config docs

* remove typing_extension, fix more links

* update schema

* apply review

* docs: add custom validators info (field and model)

* docs: fix links

* update lock file

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jonas Hoersch <jonas.hoersch@openenergytransition.org>
---
 .github/workflows/test.yaml                   |    38 +-
 .gitignore                                    |     1 +
 .pre-commit-config.yaml                       |     2 +-
 Snakefile                                     |     3 +
 config/config.default.yaml                    |   784 +-
 ...config.distribution-grid-experimental.yaml |     1 +
 config/examples/config.entsoe-all.yaml        |     1 +
 config/examples/config.iterative.yaml         |     1 +
 config/examples/config.perfect.yaml           |     1 +
 config/examples/config.validation.yaml        |     1 +
 config/plotting.default.yaml                  |     1 +
 config/schema.json                            | 12863 ++++++++++++++++
 config/test/config.clusters.yaml              |     1 +
 config/test/config.electricity.yaml           |     1 +
 config/test/config.myopic.yaml                |     1 +
 config/test/config.overnight.yaml             |     1 +
 config/test/config.perfect.yaml               |     1 +
 config/test/config.scenarios.yaml             |     1 +
 config/test/config.tyndp.yaml                 |     1 +
 config/test/config.validator.yaml             |     1 +
 doc/conf.py                                   |     2 +
 doc/configtables/adjustments.csv              |    14 -
 doc/configtables/atlite.csv                   |    17 -
 doc/configtables/biomass.csv                  |     9 -
 doc/configtables/clustering.csv               |    28 -
 doc/configtables/co2_budget.csv               |     2 -
 doc/configtables/conventional.csv             |     5 -
 doc/configtables/costs.csv                    |    12 -
 doc/configtables/countries.csv                |     2 -
 doc/configtables/electricity.csv              |    44 -
 doc/configtables/enable.csv                   |     2 -
 doc/configtables/energy.csv                   |     4 -
 doc/configtables/existing_capacities.csv      |     7 -
 doc/configtables/foresight.csv                |     2 -
 doc/configtables/hydro.csv                    |    11 -
 doc/configtables/industry.csv                 |    38 -
 doc/configtables/lines.csv                    |    14 -
 doc/configtables/links.csv                    |     7 -
 doc/configtables/load.csv                     |    12 -
 doc/configtables/offwind.csv                  |    19 -
 doc/configtables/onwind.csv                   |    20 -
 doc/configtables/opts.csv                     |    14 -
 doc/configtables/plotting.csv                 |    70 -
 doc/configtables/run.csv                      |    11 -
 doc/configtables/scenario.csv                 |     5 -
 doc/configtables/sector-opts.csv              |    11 -
 doc/configtables/sector.csv                   |   235 -
 doc/configtables/snapshots.csv                |     4 -
 doc/configtables/solar-thermal.csv            |     6 -
 doc/configtables/solar.csv                    |    16 -
 doc/configtables/solving.csv                  |    52 -
 doc/configtables/toplevel.csv                 |    18 -
 doc/configtables/transformers.csv             |     4 -
 doc/configtables/transmission_projects.csv    |     9 -
 doc/configuration.rst                         |   492 +-
 doc/contributing.rst                          |     6 +
 doc/data_sources.rst                          |     2 +-
 doc/release_notes.rst                         |     7 +
 doc/requirements.txt                          |    28 -
 doc/retrieve.rst                              |     2 +-
 doc/validation_dev.rst                        |   170 +
 pixi.lock                                     |  9911 ++++++++----
 pixi.toml                                     |    54 +-
 rules/build_electricity.smk                   |     4 +-
 rules/build_sector.smk                        |    10 +-
 rules/retrieve.smk                            |    18 +-
 rules/solve_myopic.smk                        |     2 +-
 rules/solve_perfect.smk                       |     2 +-
 scripts/lib/validation/config/__init__.py     |   399 +
 scripts/lib/validation/config/_base.py        |    38 +
 scripts/lib/validation/config/adjustments.py  |    48 +
 scripts/lib/validation/config/atlite.py       |   142 +
 scripts/lib/validation/config/biomass.py      |   105 +
 scripts/lib/validation/config/clustering.py   |   156 +
 scripts/lib/validation/config/co2_budget.py   |    32 +
 scripts/lib/validation/config/conventional.py |    32 +
 scripts/lib/validation/config/costs.py        |    91 +
 scripts/lib/validation/config/countries.py    |    55 +
 scripts/lib/validation/config/data.py         |   217 +
 scripts/lib/validation/config/electricity.py  |   230 +
 scripts/lib/validation/config/enable.py       |    22 +
 scripts/lib/validation/config/energy.py       |    30 +
 .../validation/config/existing_capacities.py  |    66 +
 scripts/lib/validation/config/foresight.py    |    22 +
 scripts/lib/validation/config/industry.py     |   210 +
 scripts/lib/validation/config/lines.py        |    91 +
 scripts/lib/validation/config/links.py        |    44 +
 scripts/lib/validation/config/load.py         |    72 +
 scripts/lib/validation/config/overpass_api.py |    49 +
 scripts/lib/validation/config/pypsa_eur.py    |    49 +
 scripts/lib/validation/config/renewable.py    |   357 +
 scripts/lib/validation/config/run.py          |    75 +
 scripts/lib/validation/config/scenario.py     |    37 +
 scripts/lib/validation/config/sector.py       |   925 ++
 scripts/lib/validation/config/snapshots.py    |    32 +
 .../lib/validation/config/solar_thermal.py    |    45 +
 scripts/lib/validation/config/solving.py      |   336 +
 scripts/lib/validation/config/transformers.py |    30 +
 .../config/transmission_projects.py           |    57 +
 scripts/prepare_network.py                    |     2 +-
 test/test_config_schema.py                    |    72 +
 101 files changed, 24685 insertions(+), 4622 deletions(-)
 create mode 100644 config/schema.json
 delete mode 100644 doc/configtables/adjustments.csv
 delete mode 100644 doc/configtables/atlite.csv
 delete mode 100644 doc/configtables/biomass.csv
 delete mode 100644 doc/configtables/clustering.csv
 delete mode 100644 doc/configtables/co2_budget.csv
 delete mode 100644 doc/configtables/conventional.csv
 delete mode 100644 doc/configtables/costs.csv
 delete mode 100644 doc/configtables/countries.csv
 delete mode 100644 doc/configtables/electricity.csv
 delete mode 100644 doc/configtables/enable.csv
 delete mode 100644 doc/configtables/energy.csv
 delete mode 100644 doc/configtables/existing_capacities.csv
 delete mode 100644 doc/configtables/foresight.csv
 delete mode 100644 doc/configtables/hydro.csv
 delete mode 100644 doc/configtables/industry.csv
 delete mode 100644 doc/configtables/lines.csv
 delete mode 100644 doc/configtables/links.csv
 delete mode 100644 doc/configtables/load.csv
 delete mode 100644 doc/configtables/offwind.csv
 delete mode 100644 doc/configtables/onwind.csv
 delete mode 100644 doc/configtables/opts.csv
 delete mode 100644 doc/configtables/plotting.csv
 delete mode 100644 doc/configtables/run.csv
 delete mode 100644 doc/configtables/scenario.csv
 delete mode 100644 doc/configtables/sector-opts.csv
 delete mode 100644 doc/configtables/sector.csv
 delete mode 100644 doc/configtables/snapshots.csv
 delete mode 100644 doc/configtables/solar-thermal.csv
 delete mode 100644 doc/configtables/solar.csv
 delete mode 100644 doc/configtables/solving.csv
 delete mode 100644 doc/configtables/toplevel.csv
 delete mode 100644 doc/configtables/transformers.csv
 delete mode 100644 doc/configtables/transmission_projects.csv
 delete mode 100644 doc/requirements.txt
 create mode 100644 doc/validation_dev.rst
 create mode 100644 scripts/lib/validation/config/__init__.py
 create mode 100644 scripts/lib/validation/config/_base.py
 create mode 100644 scripts/lib/validation/config/adjustments.py
 create mode 100644 scripts/lib/validation/config/atlite.py
 create mode 100644 scripts/lib/validation/config/biomass.py
 create mode 100644 scripts/lib/validation/config/clustering.py
 create mode 100644 scripts/lib/validation/config/co2_budget.py
 create mode 100644 scripts/lib/validation/config/conventional.py
 create mode 100644 scripts/lib/validation/config/costs.py
 create mode 100644 scripts/lib/validation/config/countries.py
 create mode 100644 scripts/lib/validation/config/data.py
 create mode 100644 scripts/lib/validation/config/electricity.py
 create mode 100644 scripts/lib/validation/config/enable.py
 create mode 100644 scripts/lib/validation/config/energy.py
 create mode 100644 scripts/lib/validation/config/existing_capacities.py
 create mode 100644 scripts/lib/validation/config/foresight.py
 create mode 100644 scripts/lib/validation/config/industry.py
 create mode 100644 scripts/lib/validation/config/lines.py
 create mode 100644 scripts/lib/validation/config/links.py
 create mode 100644 scripts/lib/validation/config/load.py
 create mode 100644 scripts/lib/validation/config/overpass_api.py
 create mode 100644 scripts/lib/validation/config/pypsa_eur.py
 create mode 100644 scripts/lib/validation/config/renewable.py
 create mode 100644 scripts/lib/validation/config/run.py
 create mode 100644 scripts/lib/validation/config/scenario.py
 create mode 100644 scripts/lib/validation/config/sector.py
 create mode 100644 scripts/lib/validation/config/snapshots.py
 create mode 100644 scripts/lib/validation/config/solar_thermal.py
 create mode 100644 scripts/lib/validation/config/solving.py
 create mode 100644 scripts/lib/validation/config/transformers.py
 create mode 100644 scripts/lib/validation/config/transmission_projects.py
 create mode 100644 test/test_config_schema.py

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index bf0e88ffe..ca26ee533 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -1,4 +1,4 @@
-name: Test workflows
+name: Test
 
 on:
   push:
@@ -18,8 +18,30 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  run-tests:
-    name: OS
+  unit-tests:
+    name: Unit
+    runs-on: ubuntu-latest
+
+    defaults:
+      run:
+        shell: bash -l {0}
+
+    steps:
+    - uses: actions/checkout@v6
+
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.3
+      with:
+        pixi-version: v0.59.0
+        cache: true
+        cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
+
+    - name: Run unit tests
+      run: |
+        pixi run unit-tests
+
+  integration-tests:
+    name: Integration
     runs-on: ${{ matrix.os }}-latest
     strategy:
       fail-fast: false
@@ -44,7 +66,6 @@ jobs:
             - 'data/**'
             - 'Snakefile'
             - 'config/**'
-            - 'test/**'
             - 'pixi.toml'
             - 'pixi.lock'
             - '.github/workflows/test.yaml'
@@ -59,6 +80,7 @@ jobs:
         sudo docker builder prune -a --force
         echo "Final disk space"
         df -h
+
     - name: Skip - no source changes
       if: steps.filter.outputs.src != 'true' && github.event_name != 'schedule'
       run: echo "Skipping tests because no source code changes detected"
@@ -69,8 +91,7 @@ jobs:
       with:
         pixi-version: v0.59.0
         cache: true
-        # Do not cache in branches
-        cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}
+        cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
 
     - name: Setup cache keys
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
@@ -99,11 +120,6 @@ jobs:
       run: |
         pixi run integration-tests
 
-    - name: Run unit tests
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
-      run: |
-        pixi run unit-tests
-
     - name: Upload artifacts
       if: always()
       uses: actions/upload-artifact@v6
diff --git a/.gitignore b/.gitignore
index b146ade77..1bec08757 100644
--- a/.gitignore
+++ b/.gitignore
@@ -28,6 +28,7 @@ gurobi.log
 /cutouts
 /tmp
 doc/_build
+_build
 
 /scripts/old
 /scripts/create_scenarios.py
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index bd4683cdb..7ce8f59a4 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
-exclude: "^LICENSES"
+exclude: "^LICENSES|^config/schema\\.json$|^config/config\\.default\\.yaml$"
 
 ci:
   autoupdate_schedule: quarterly
diff --git a/Snakefile b/Snakefile
index 715fa4865..c518f35da 100644
--- a/Snakefile
+++ b/Snakefile
@@ -16,6 +16,7 @@ from scripts._helpers import (
     get_shadow,
     path_provider,
 )
+from scripts.lib.validation.config import validate_config
 
 
 configfile: "config/config.default.yaml"
@@ -27,6 +28,8 @@ if Path("config/config.yaml").exists():
     configfile: "config/config.yaml"
 
 
+validate_config(config)
+
 run = config["run"]
 scenarios = get_scenarios(run)
 RDIR = get_rdir(run)
diff --git a/config/config.default.yaml b/config/config.default.yaml
index c1eaa966e..c1e95b447 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1,15 +1,19 @@
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: CC0-1.0
+%YAML 1.1
+---
+# yaml-language-server: $schema=./schema.json
 
-# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#top-level-configuration
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#version
 version: v2025.07.0
+
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#tutorial
 tutorial: false
 
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#logging
 logging:
   level: INFO
   format: "%(levelname)s:%(name)s:%(message)s"
 
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#remote
 remote:
   ssh: ""
   path: ""
@@ -31,14 +35,13 @@ run:
 foresight: overnight
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#scenario
-# Wildcard docs in https://pypsa-eur.readthedocs.io/en/latest/wildcards.html
 scenario:
   clusters:
   - 50
   opts:
-  - ''
+  - ""
   sector_opts:
-  - ''
+  - ""
   planning_horizons:
   - 2050
 
@@ -83,103 +86,124 @@ countries:
 snapshots:
   start: "2013-01-01"
   end: "2014-01-01"
-  inclusive: 'left'
+  inclusive: left
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#enable
 enable:
   drop_leap_day: true
 
-# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#co2-budget
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#co2_budget
 co2_budget:
-  2020: 0.720 # average emissions of 2019 to 2021 relative to 1990, CO2 excl LULUCF, EEA data, European Environment Agency. (2023a). Annual European Union greenhouse gas inventory 1990–2021 and inventory report 2023 - CRF Table. https://unfccc.int/documents/627830
-  2025: 0.648 # With additional measures (WAM) projection, CO2 excl LULUCF, European Environment Agency. (2023e). Member States’ greenhouse gas (GHG) emission projections 2023. https://www.eea.europa.eu/en/datahub/datahubitem-view/4b8d94a4-aed7-4e67-a54c-0623a50f48e8
-  2030: 0.450 # 55% reduction by 2030 (Ff55)
-  2035: 0.250
-  2040: 0.100 # 90% by 2040
-  2045: 0.050
-  2050: 0.000 # climate-neutral by 2050
+  2020: 0.72
+  2025: 0.648
+  2030: 0.45
+  2035: 0.25
+  2040: 0.1
+  2045: 0.05
+  2050: 0.0
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#electricity
 electricity:
-  voltages: [220., 300., 330., 380., 400., 500., 750.]
+  voltages:
+  - 220.0
+  - 300.0
+  - 330.0
+  - 380.0
+  - 400.0
+  - 500.0
+  - 750.0
   base_network: osm
   gaslimit_enable: false
   gaslimit: false
   co2limit_enable: false
-  co2limit: 7.75e+7
-  co2base: 1.487e+9
-
+  co2limit: 77500000.0
+  co2base: 1487000000.0
   operational_reserve:
     activate: false
     epsilon_load: 0.02
     epsilon_vres: 0.02
     contingency: 4000
-
   max_hours:
     battery: 6
     H2: 168
-
   extendable_carriers:
-    Generator: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float, OCGT, CCGT]
-    StorageUnit: [] # battery, H2
-    Store: [battery, H2]
-    Link: [] # H2 pipeline
-
-  powerplants_filter: (DateOut >= 2024 or DateOut != DateOut) and not (Country == 'Germany' and Fueltype == 'Nuclear')
+    Generator:
+    - solar
+    - "solar-hsat"
+    - onwind
+    - "offwind-ac"
+    - "offwind-dc"
+    - "offwind-float"
+    - OCGT
+    - CCGT
+    StorageUnit: []
+    Store:
+    - battery
+    - H2
+    Link: []
+  powerplants_filter: "(DateOut >= 2024 or DateOut != DateOut) and not (Country == 'Germany' and Fueltype == 'Nuclear')"
   custom_powerplants: false
   everywhere_powerplants: []
-
-  conventional_carriers: [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
-  renewable_carriers: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float, hydro]
-
+  conventional_carriers:
+  - nuclear
+  - oil
+  - OCGT
+  - CCGT
+  - coal
+  - lignite
+  - geothermal
+  - biomass
+  renewable_carriers:
+  - solar
+  - "solar-hsat"
+  - onwind
+  - "offwind-ac"
+  - "offwind-dc"
+  - "offwind-float"
+  - hydro
   estimate_renewable_capacities:
     enable: true
     from_gem: true
     year: 2020
     expansion_limit: false
     technology_mapping:
-      Offshore: offwind-ac
+      Offshore: "offwind-ac"
       Onshore: onwind
       PV: solar
-
   autarky:
     enable: false
     by_country: false
-
   transmission_limit: vopt
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#atlite
 atlite:
-  default_cutout: europe-2013-sarah3-era5
+  default_cutout: "europe-1940-2024-era5"
   nprocesses: 16
   show_progress: false
   cutouts:
-    # use 'base' to determine geographical bounds and time span from config
-    # base:
-      # module: era5
-    europe-2013-sarah3-era5:
-      module: [sarah, era5] # in priority order
-      x: [-12., 42.]
-      y: [33., 72.]
-      dx: 0.3
-      dy: 0.3
-      time: ['2013', '2013']
-      # prepare_kwargs:
-      #   features: []
-      #   sarah_dir: ""
-    europe-1940-2024-era5:
+    "europe-1940-2024-era5":
       module: era5
-      x: [-12., 42.]
-      y: [33., 72.]
+      x:
+      - -12.0
+      - 42.0
+      'y':
+      - 33.0
+      - 72.0
       dx: 0.3
       dy: 0.3
-      time: ['1940', '2024']
+      time:
+      - '1940'
+      - '2024'
       chunks:
         time: 500
       prepare_kwargs:
-        features: ['temperature', 'height', 'runoff']
+        features:
+        - temperature
+        - height
+        - runoff
+        sarah_dir:
         monthly_requests: true
-        tmpdir: "./cutouts_tmp/"
+        tmpdir: ./cutouts_tmp/
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#renewable
 renewable:
@@ -192,19 +216,42 @@ renewable:
       add_cutout_windspeed: true
     resource_classes: 1
     capacity_per_sqkm: 3
-    # correction_factor: 0.93
+    correction_factor: 1.0
     corine:
-      grid_codes: [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32]
-      distance: 1000
-      distance_grid_codes: [1, 2, 3, 4, 5, 6]
+      grid_codes:
+      - 12
+      - 13
+      - 14
+      - 15
+      - 16
+      - 17
+      - 18
+      - 19
+      - 20
+      - 21
+      - 22
+      - 23
+      - 24
+      - 25
+      - 26
+      - 27
+      - 28
+      - 29
+      - 31
+      - 32
+      distance: 1000.0
+      distance_grid_codes:
+      - 1
+      - 2
+      - 3
+      - 4
+      - 5
+      - 6
     luisa: false
-      # grid_codes: [1111, 1121, 1122, 1123, 1130, 1210, 1221, 1222, 1230, 1241, 1242]
-      # distance: 1000
-      # distance_grid_codes: [1111, 1121, 1122, 1123, 1130, 1210, 1221, 1222, 1230, 1241, 1242]
     natura: true
     excluder_resolution: 100
-    clip_p_max_pu: 1.e-2
-  offwind-ac:
+    clip_p_max_pu: 0.01
+  "offwind-ac":
     cutout: default
     resource:
       method: wind
@@ -214,16 +261,20 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine: [44, 255]
-    luisa: false # [0, 5230]
+    corine:
+    - 44
+    - 255
+    luisa: false
     natura: true
     ship_threshold: 400
-    max_depth: 60
-    max_shore_distance: 30000
+    max_depth: 60.0
+    min_depth:
+    max_shore_distance: 30000.0
+    min_shore_distance:
     excluder_resolution: 200
-    clip_p_max_pu: 1.e-2
-    landfall_length: 20
-  offwind-dc:
+    clip_p_max_pu: 0.01
+    landfall_length: 20.0
+  "offwind-dc":
     cutout: default
     resource:
       method: wind
@@ -233,16 +284,20 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine: [44, 255]
-    luisa: false # [0, 5230]
+    corine:
+    - 44
+    - 255
+    luisa: false
     natura: true
     ship_threshold: 400
-    max_depth: 60
-    min_shore_distance: 30000
+    max_depth: 60.0
+    min_depth:
+    max_shore_distance:
+    min_shore_distance: 30000.0
     excluder_resolution: 200
-    clip_p_max_pu: 1.e-2
-    landfall_length: 30
-  offwind-float:
+    clip_p_max_pu: 0.01
+    landfall_length: 30.0
+  "offwind-float":
     cutout: default
     resource:
       method: wind
@@ -250,57 +305,109 @@ renewable:
       smooth: false
       add_cutout_windspeed: true
     resource_classes: 1
-    # ScholzPhd Tab 4.3.1: 10MW/km^2
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    # proxy for wake losses
-    # from 10.1016/j.energy.2018.08.153
-    # until done more rigorously in #153
-    corine: [44, 255]
+    corine:
+    - 44
+    - 255
+    luisa: false
     natura: true
     ship_threshold: 400
+    max_depth: 1000.0
+    min_depth: 60.0
+    max_shore_distance:
+    min_shore_distance:
     excluder_resolution: 200
-    min_depth: 60
-    max_depth: 1000
-    clip_p_max_pu: 1.e-2
-    landfall_length: 40
+    clip_p_max_pu: 0.01
+    landfall_length: 40.0
   solar:
     cutout: default
     resource:
       method: pv
       panel: CSi
       orientation:
-        slope: 35.
-        azimuth: 180.
+        slope: 35.0
+        azimuth: 180.0
+      tracking:
     resource_classes: 1
     capacity_per_sqkm: 5.1
-    # correction_factor: 0.854337
-    corine: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
-    luisa: false # [1111, 1121, 1122, 1123, 1130, 1210, 1221, 1222, 1230, 1241, 1242, 1310, 1320, 1330, 1410, 1421, 1422, 2110, 2120, 2130, 2210, 2220, 2230, 2310, 2410, 2420, 3210, 3320, 3330]
+    correction_factor: 1.0
+    corine:
+    - 1
+    - 2
+    - 3
+    - 4
+    - 5
+    - 6
+    - 7
+    - 8
+    - 9
+    - 10
+    - 11
+    - 12
+    - 13
+    - 14
+    - 15
+    - 16
+    - 17
+    - 18
+    - 19
+    - 20
+    - 26
+    - 31
+    - 32
+    luisa: false
     natura: true
     excluder_resolution: 100
-    clip_p_max_pu: 1.e-2
-  solar-hsat:
+    clip_p_max_pu: 0.01
+  "solar-hsat":
     cutout: default
     resource:
       method: pv
       panel: CSi
       orientation:
-        slope: 35.
-        azimuth: 180.
+        slope: 35.0
+        azimuth: 180.0
       tracking: horizontal
     resource_classes: 1
-    capacity_per_sqkm: 4.43 # 15% higher land usage acc. to NREL
-    corine: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
-    luisa: false # [1111, 1121, 1122, 1123, 1130, 1210, 1221, 1222, 1230, 1241, 1242, 1310, 1320, 1330, 1410, 1421, 1422, 2110, 2120, 2130, 2210, 2220, 2230, 2310, 2410, 2420, 3210, 3320, 3330]
+    capacity_per_sqkm: 4.43
+    correction_factor: 1.0
+    corine:
+    - 1
+    - 2
+    - 3
+    - 4
+    - 5
+    - 6
+    - 7
+    - 8
+    - 9
+    - 10
+    - 11
+    - 12
+    - 13
+    - 14
+    - 15
+    - 16
+    - 17
+    - 18
+    - 19
+    - 20
+    - 26
+    - 31
+    - 32
+    luisa: false
     natura: true
     excluder_resolution: 100
-    clip_p_max_pu: 1.e-2
+    clip_p_max_pu: 0.01
   hydro:
     cutout: default
-    carriers: [ror, PHS, hydro]
+    carriers:
+    - ror
+    - PHS
+    - hydro
     PHS_max_hours: 6
-    hydro_max_hours: energy_capacity_totals_by_country # one of energy_capacity_totals_by_country, estimate_by_large_installations or a float
+    hydro_max_hours: energy_capacity_totals_by_country
     flatten_dispatch: false
     flatten_dispatch_buffer: 0.2
     clip_min_inflow: 1.0
@@ -313,30 +420,30 @@ conventional:
   unit_commitment: false
   dynamic_fuel_price: false
   nuclear:
-    p_max_pu: data/nuclear_p_max_pu.csv # float of file name
+    p_max_pu: data/nuclear_p_max_pu.csv
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#lines
 lines:
   types:
-    63.: 94-AL1/15-ST1A 20.0
-    66.: 94-AL1/15-ST1A 20.0
-    90.: 184-AL1/30-ST1A 110.0
-    110.: 184-AL1/30-ST1A 110.0
-    132.: 243-AL1/39-ST1A 110.0
-    150.: 243-AL1/39-ST1A 110.0
-    220.: Al/St 240/40 2-bundle 220.0
-    300.: Al/St 240/40 3-bundle 300.0
-    330.: Al/St 240/40 3-bundle 300.0
-    380.: Al/St 240/40 4-bundle 380.0
-    400.: Al/St 240/40 4-bundle 380.0
-    500.: Al/St 240/40 4-bundle 380.0
-    750.: Al/St 560/50 4-bundle 750.0
+    63.0: "94-AL1/15-ST1A 20.0"
+    66.0: "94-AL1/15-ST1A 20.0"
+    90.0: "184-AL1/30-ST1A 110.0"
+    110.0: "184-AL1/30-ST1A 110.0"
+    132.0: "243-AL1/39-ST1A 110.0"
+    150.0: "243-AL1/39-ST1A 110.0"
+    220.0: "Al/St 240/40 2-bundle 220.0"
+    300.0: "Al/St 240/40 3-bundle 300.0"
+    330.0: "Al/St 240/40 3-bundle 300.0"
+    380.0: "Al/St 240/40 4-bundle 380.0"
+    400.0: "Al/St 240/40 4-bundle 380.0"
+    500.0: "Al/St 240/40 4-bundle 380.0"
+    750.0: "Al/St 560/50 4-bundle 750.0"
   s_max_pu: 0.7
   s_nom_max: .inf
-  max_extension: 20000 #MW
+  max_extension: 20000
   length_factor: 1.25
   reconnect_crimea: true
-  under_construction: keep # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity for lines in grid extract
+  under_construction: keep
   dynamic_line_rating:
     activate: false
     cutout: default
@@ -349,9 +456,9 @@ links:
   p_max_pu: 1.0
   p_min_pu: -1.0
   p_nom_max: .inf
-  max_extension: 30000 #MW
+  max_extension: 30000
   length_factor: 1.25
-  under_construction: keep # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity for lines in grid extract
+  under_construction: keep
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#transmission_projects
 transmission_projects:
@@ -367,17 +474,15 @@ transmission_projects:
   - under_construction
   - in_permitting
   - confirmed
-    #- planned_not_yet_permitted
-    #- under_consideration
-  new_link_capacity: zero #keep or zero
+  new_link_capacity: zero
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#transformers
 transformers:
   x: 0.1
-  s_nom: 2000.
-  type: ''
+  s_nom: 2000.0
+  type: ""
 
-# docs-load in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#load
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#load
 load:
   fill_gaps:
     enable: true
@@ -391,12 +496,7 @@ load:
     gdp: 0.6
     population: 0.4
 
-# docs
-# TODO: PyPSA-Eur merge issue in prepare_sector_network.py
-# regulate what components with which carriers are kept from PyPSA-Eur;
-# some technologies are removed because they are implemented differently
-# (e.g. battery or H2 storage) or have different year-dependent costs
-# in PyPSA-Eur-Sec
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#pypsa_eur
 pypsa_eur:
   Bus:
   - AC
@@ -404,10 +504,10 @@ pypsa_eur:
   - DC
   Generator:
   - onwind
-  - offwind-ac
-  - offwind-dc
-  - offwind-float
-  - solar-hsat
+  - "offwind-ac"
+  - "offwind-dc"
+  - "offwind-float"
+  - "solar-hsat"
   - solar
   - ror
   - nuclear
@@ -430,19 +530,19 @@ biomass:
     solid biomass:
     - Agricultural waste
     - Fuelwood residues
-    - Secondary Forestry residues - woodchips
+    - "Secondary Forestry residues - woodchips"
     - Sawdust
     - Residues from landscape care
     not included:
     - Sugar from sugar beet
     - Rape seed
-    - "Sunflower, soya seed "
+    - 'Sunflower, soya seed '
     - Bioethanol barley, wheat, grain maize, oats, other cereals and rye
     - Miscanthus, switchgrass, RCG
     - Willow
     - Poplar
     - FuelwoodRW
-    - C&P_RW
+    - "C&P_RW"
     biogas:
     - Manure solid, liquid
     - Sludge
@@ -465,19 +565,44 @@ biomass:
     2045: 1
     2050: 1
 
-
-# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solar-thermal
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solar_thermal
 solar_thermal:
-  clearsky_model: simple  # should be "simple" or "enhanced"?
+  clearsky_model: simple
   orientation:
-    slope: 45.
-    azimuth: 180.
+    slope: 45.0
+    azimuth: 180.0
   cutout: default
 
-# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#existing-capacities
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#existing_capacities
 existing_capacities:
-  grouping_years_power: [1920, 1950, 1955, 1960, 1965, 1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020, 2025]
-  grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019] # heat grouping years >= baseyear will be ignored
+  grouping_years_power:
+  - 1920
+  - 1950
+  - 1955
+  - 1960
+  - 1965
+  - 1970
+  - 1975
+  - 1980
+  - 1985
+  - 1990
+  - 1995
+  - 2000
+  - 2005
+  - 2010
+  - 2015
+  - 2020
+  - 2025
+  grouping_years_heat:
+  - 1980
+  - 1985
+  - 1990
+  - 1995
+  - 2000
+  - 2005
+  - 2010
+  - 2015
+  - 2019
   threshold_capacity: 10
   default_heating_lifetime: 20
   conventional_carriers:
@@ -543,13 +668,13 @@ sector:
       recovery_factor: 0.6
       marginal_cost_charger: 0.035
       ignore_missing_regions: false
-    heat_source_cooling: 6 #K
+    heat_source_cooling: 6
     heat_pump_cop_approximation:
       refrigerant: ammonia
-      heat_exchanger_pinch_point_temperature_difference: 5 #K
+      heat_exchanger_pinch_point_temperature_difference: 5
       isentropic_compressor_efficiency: 0.8
       heat_loss: 0.0
-      min_delta_t_lift: 10 #K
+      min_delta_t_lift: 10
     limited_heat_sources:
       geothermal:
         constant_temperature_celsius: 65
@@ -592,8 +717,8 @@ sector:
   heat_demand_cutout: default
   bev_dsm_restriction_value: 0.8
   bev_dsm_restriction_time: 7
-  transport_heating_deadband_upper: 20.
-  transport_heating_deadband_lower: 15.
+  transport_heating_deadband_upper: 20.0
+  transport_heating_deadband_lower: 15.0
   ICE_lower_degree_factor: 0.375
   ICE_upper_degree_factor: 1.6
   EV_lower_degree_factor: 0.98
@@ -630,9 +755,9 @@ sector:
     2040: 0.3
     2045: 0.15
     2050: 0
-  transport_electric_efficiency: 53.19 # 1 MWh_el = 53.19*100 km
-  transport_fuel_cell_efficiency: 30.003 # 1 MWh_H2 = 30.003*100 km
-  transport_ice_efficiency: 16.0712 # 1 MWh_oil = 16.0712 * 100 km
+  transport_electric_efficiency: 53.19
+  transport_fuel_cell_efficiency: 30.003
+  transport_ice_efficiency: 16.0712
   agriculture_machinery_electric_share: 0.5
   agriculture_machinery_oil_share: 0.5
   agriculture_machinery_fuel_efficiency: 0.7
@@ -666,15 +791,15 @@ sector:
     2045: 0.2
     2050: 0
   shipping_methanol_efficiency: 0.46
-  shipping_oil_efficiency: 0.40
-  aviation_demand_factor: 1.
-  HVC_demand_factor: 1.
+  shipping_oil_efficiency: 0.4
+  aviation_demand_factor: 1.0
+  HVC_demand_factor: 1.0
   time_dep_hp_cop: true
-  heat_pump_sink_T_individual_heating: 55.
+  heat_pump_sink_T_individual_heating: 55.0
   reduce_space_heat_exogenously: true
   reduce_space_heat_exogenously_factor:
-    2020: 0.10  # this results in a space heat demand reduction of 10%
-    2025: 0.09  # first heat demand increases compared to 2020 because of larger floor area per capita
+    2020: 0.1
+    2025: 0.09
     2030: 0.09
     2035: 0.11
     2040: 0.16
@@ -693,16 +818,16 @@ sector:
   oil_boilers: false
   biomass_boiler: true
   overdimension_heat_generators:
-    decentral: 1.1  #to cover demand peaks bigger than data
+    decentral: 1.1
     central: 1.0
   chp:
     enable: true
     fuel:
-    - solid biomass # For solid biomass, CHP with and without CC are added
-    - gas # For all other fuels the same techno economic data from gas CHP is taken
-    micro_chp: false # Only gas is used for micro_chp
+    - solid biomass
+    - gas
+    micro_chp: false
   solar_thermal: true
-  solar_cf_correction: 0.788457  # =  >>> 1/1.2683
+  solar_cf_correction: 0.788457
   methanation: true
   coal_cc: false
   dac: true
@@ -746,9 +871,8 @@ sector:
   cc_fraction: 0.9
   hydrogen_underground_storage: true
   hydrogen_underground_storage_locations:
-  - onshore    # more than 50 km from sea
-  - nearshore      # within 50 km of sea
-    # - offshore
+  - onshore
+  - nearshore
   methanol:
     regional_methanol_demand: false
     methanol_reforming: false
@@ -774,6 +898,7 @@ sector:
   use_electrolysis_waste_heat: 0.25
   electricity_transmission_grid: true
   electricity_distribution_grid: true
+  electricity_distribution_grid_cost_factor: 1.0
   electricity_grid_connection: true
   transmission_efficiency:
     enable:
@@ -785,10 +910,10 @@ sector:
       efficiency_static: 0.98
       efficiency_per_1000km: 0.977
     H2 pipeline:
-      efficiency_per_1000km: 1 # 0.982
+      efficiency_per_1000km: 1
       compression_per_1000km: 0.018
     gas pipeline:
-      efficiency_per_1000km: 1 #0.977
+      efficiency_per_1000km: 1
       compression_per_1000km: 0.01
     electricity distribution grid:
       efficiency_static: 0.97
@@ -815,18 +940,17 @@ sector:
   municipal_solid_waste: false
   limit_max_growth:
     enable: false
-    # allowing 30% larger than max historic growth
     factor: 1.3
-    max_growth:  # unit GW
-      onwind: 16 # onshore max grow so far 16 GW in Europe https://www.iea.org/reports/renewables-2020/wind
-      solar: 28 # solar max grow so far 28 GW in Europe https://www.iea.org/reports/renewables-2020/solar-pv
-      offwind-ac: 35 # offshore max grow so far 3.5 GW in Europe https://windeurope.org/about-wind/statistics/offshore/european-offshore-wind-industry-key-trends-statistics-2019/
-      offwind-dc: 35
+    max_growth:
+      onwind: 16
+      solar: 28
+      "offwind-ac": 35
+      "offwind-dc": 35
     max_relative_growth:
       onwind: 3
       solar: 3
-      offwind-ac: 3
-      offwind-dc: 3
+      "offwind-ac": 3
+      "offwind-dc": 3
   enhanced_geothermal:
     enable: false
     flexible: true
@@ -836,13 +960,13 @@ sector:
     sustainability_factor: 0.0025
   solid_biomass_import:
     enable: false
-    price: 54 #EUR/MWh
-    max_amount: 1390 # TWh
-    upstream_emissions_factor: .1 #share of solid biomass CO2 emissions at full combustion
+    price: 54
+    max_amount: 1390
+    upstream_emissions_factor: 0.1
   imports:
     enable: false
     limit: .inf
-    limit_sense: <=
+    limit_sense: "<="
     price:
       H2: 74
       NH3: 97
@@ -883,13 +1007,9 @@ industry:
   MWh_elec_per_tNH3_SMR: 0.7
   MWh_H2_per_tNH3_electrolysis: 5.93
   MWh_elec_per_tNH3_electrolysis: 0.2473
-  MWh_NH3_per_MWh_H2_cracker: 1.46 # https://github.com/euronion/trace/blob/44a5ff8401762edbef80eff9cfe5a47c8d3c8be4/data/efficiencies.csv
+  MWh_NH3_per_MWh_H2_cracker: 1.46
   NH3_process_emissions: 24.5
   petrochemical_process_emissions: 25.5
-  #HVC primary/recycling based on values used in Neumann et al https://doi.org/10.1016/j.joule.2023.06.016, linearly interpolated between 2020 and 2050
-  #2020 recycling rates based on Agora https://static.agora-energiewende.de/fileadmin/Projekte/2021/2021_02_EU_CEAP/A-EW_254_Mobilising-circular-economy_study_WEB.pdf
-  #fractions refer to the total primary HVC production in 2020
-  #assumes 6.7 Mtplastics produced from recycling in 2020
   HVC_primary_fraction:
     2020: 0.88
     2025: 0.85
@@ -905,7 +1025,7 @@ industry:
     2035: 0.21
     2040: 0.24
     2045: 0.27
-    2050: 0.30
+    2050: 0.3
   HVC_chemical_recycling_fraction:
     2020: 0.0
     2025: 0.0
@@ -913,8 +1033,8 @@ industry:
     2035: 0.08
     2040: 0.12
     2045: 0.16
-    2050: 0.20
-  HVC_environment_sequestration_fraction: 0.
+    2050: 0.2
+  HVC_environment_sequestration_fraction: 0.0
   waste_to_energy: false
   waste_to_energy_cc: false
   sector_ratios_fraction_future:
@@ -925,8 +1045,8 @@ industry:
     2040: 0.7
     2045: 0.85
     2050: 1.0
-  basic_chemicals_without_NH3_production_today: 69. #Mt/a, = 86 Mtethylene-equiv - 17 MtNH3
-  HVC_production_today: 52.
+  basic_chemicals_without_NH3_production_today: 69.0
+  HVC_production_today: 52.0
   MWh_elec_per_tHVC_mechanical_recycling: 0.547
   MWh_elec_per_tHVC_chemical_recycling: 6.9
   chlorine_production_today: 9.58
@@ -940,7 +1060,6 @@ industry:
   reference_year: 2019
   oil_refining_emissions: 0.013
 
-
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs
 costs:
   year: 2050
@@ -952,14 +1071,16 @@ costs:
     fuel: 0
     investment: 0
     lifetime: 25
-    "CO2 intensity": 0
-    "discount rate": 0.07
-    "standing losses": 0
+    CO2 intensity: 0
+    discount rate: 0.07
+    standing losses: 0
   custom_cost_fn: data/custom_costs.csv
   overwrites: {}
+  capital_cost: {}
+  marginal_cost: {}
   emission_prices:
     enable: false
-    co2: 0.
+    co2: 0.0
     co2_monthly_prices: false
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#clustering
@@ -967,6 +1088,7 @@ clustering:
   mode: busmap
   administrative:
     level: 1
+    countries: {}
   focus_weights: false
   copperplate_regions: []
   build_bidding_zones:
@@ -974,6 +1096,7 @@ clustering:
     aggregate_to_tyndp: false
   simplify_network:
     to_substations: false
+    exclude_carriers: []
     remove_stubs: true
     remove_stubs_across_borders: false
   cluster_network:
@@ -988,6 +1111,7 @@ clustering:
       committable: any
       ramp_limit_up: max
       ramp_limit_down: max
+    buses: {}
   temporal:
     resolution_elec: false
     resolution_sector: false
@@ -1002,6 +1126,129 @@ adjustments:
           capital_cost: 1.0
     absolute: false
 
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solving
+solving:
+  options:
+    clip_p_max_pu: 0.01
+    load_shedding: false
+    curtailment_mode: false
+    noisy_costs: true
+    skip_iterations: true
+    rolling_horizon: false
+    seed: 123
+    custom_extra_functionality: ../data/custom_extra_functionality.py
+    io_api:
+    track_iterations: false
+    min_iterations: 2
+    max_iterations: 3
+    transmission_losses: 2
+    linearized_unit_commitment: true
+    horizon: 365
+    post_discretization:
+      enable: false
+      line_unit_size: 1700
+      line_threshold: 0.3
+      link_unit_size:
+        DC: 2000
+        H2 pipeline: 1200
+        gas pipeline: 1500
+      link_threshold:
+        DC: 0.3
+        H2 pipeline: 0.3
+        gas pipeline: 0.3
+      fractional_last_unit_size: false
+    keep_files: false
+    model_kwargs:
+      solver_dir: ""
+  agg_p_nom_limits:
+    agg_offwind: false
+    agg_solar: false
+    include_existing: false
+    file: data/agg_p_nom_minmax.csv
+  constraints:
+    CCL: false
+    EQ: false
+    BAU: false
+    SAFE: false
+  solver:
+    name: gurobi
+    options: "gurobi-default"
+  solver_options:
+    "highs-default":
+      threads: 1
+      solver: ipm
+      run_crossover: 'off'
+      small_matrix_value: 1.0e-06
+      large_matrix_value: 1000000000.0
+      primal_feasibility_tolerance: 1.0e-05
+      dual_feasibility_tolerance: 1.0e-05
+      ipm_optimality_tolerance: 0.0001
+      parallel: 'on'
+      random_seed: 123
+    "highs-simplex":
+      solver: simplex
+      parallel: 'on'
+      primal_feasibility_tolerance: 1.0e-05
+      dual_feasibility_tolerance: 1.0e-05
+      random_seed: 123
+    "gurobi-default":
+      threads: 32
+      method: 2
+      crossover: 0
+      BarConvTol: 1.0e-05
+      Seed: 123
+      AggFill: 0
+      PreDual: 0
+      GURO_PAR_BARDENSETHRESH: 200
+    "gurobi-numeric-focus":
+      NumericFocus: 3
+      method: 2
+      crossover: 0
+      BarHomogeneous: 1
+      BarConvTol: 1.0e-05
+      FeasibilityTol: 0.0001
+      OptimalityTol: 0.0001
+      ObjScale: -0.5
+      threads: 8
+      Seed: 123
+    "gurobi-fallback":
+      crossover: 0
+      method: 2
+      BarHomogeneous: 1
+      BarConvTol: 1.0e-05
+      FeasibilityTol: 1.0e-05
+      OptimalityTol: 1.0e-05
+      Seed: 123
+      threads: 8
+    "cplex-default":
+      threads: 4
+      lpmethod: 4
+      solutiontype: 2
+      barrier.convergetol: 1.0e-05
+      feasopt.tolerance: 1.0e-06
+    "copt-default":
+      Threads: 8
+      LpMethod: 2
+      Crossover: 0
+      RelGap: 1.0e-06
+      Dualize: 0
+    "copt-gpu":
+      LpMethod: 6
+      GPUMode: 1
+      PDLPTol: 1.0e-05
+      Crossover: 0
+    "cbc-default": {}
+    "glpk-default": {}
+  check_objective:
+    enable: false
+    expected_value:
+    atol: 1000000
+    rtol: 0.01
+  oetc:
+  mem_mb: 128000
+  memory_logging_frequency: 5
+  runtime: 48h
+
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#data
 data:
   hotmaps_industrial_sites:
@@ -1145,143 +1392,14 @@ data:
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api
 overpass_api:
-  url: https://overpass-api.de/api/interpreter
+  url: "https://overpass-api.de/api/interpreter"
   max_tries: 5
   timeout: 600
   user_agent:
-    project_name: PyPSA-Eur
-    email: contact@pypsa.org
-    website: https://github.com/PyPSA/pypsa-eur
+    project_name: "PyPSA-Eur"
+    email: "contact@pypsa.org"
+    website: "https://github.com/PyPSA/pypsa-eur"
 
+# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#secrets
 secrets:
-  corine: '' #Add API key here if primary source is used for retrieving corine dataset after registering in https://land.copernicus.eu/user/login
-
-# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solving
-solving:
-  options:
-    clip_p_max_pu: 1.e-2
-    load_shedding: false
-    curtailment_mode: false
-    noisy_costs: true
-    skip_iterations: true
-    rolling_horizon: false
-    seed: 123
-    custom_extra_functionality: "../data/custom_extra_functionality.py"
-    # io_api: "direct"  # Increases performance but only supported for the highs and gurobi solvers
-    # options that go into the optimize function
-    track_iterations: false
-    min_iterations: 2
-    max_iterations: 3
-    transmission_losses: 2
-    linearized_unit_commitment: true
-    horizon: 365
-    post_discretization:
-      enable: false
-      line_unit_size: 1700
-      line_threshold: 0.3
-      link_unit_size:
-        DC: 2000
-        H2 pipeline: 1200
-        gas pipeline: 1500
-      link_threshold:
-        DC: 0.3
-        H2 pipeline: 0.3
-        gas pipeline: 0.3
-      fractional_last_unit_size: false
-    keep_files: false
-    model_kwargs:
-      solver_dir: ""
-
-  agg_p_nom_limits:
-    agg_offwind: false
-    agg_solar: false
-    include_existing: false
-    file: data/agg_p_nom_minmax.csv
-
-  constraints:
-    CCL: false
-    EQ: false
-    BAU: false
-    SAFE: false
-
-  solver:
-    name: gurobi
-    options: gurobi-default
-
-  solver_options:
-    highs-default:
-      # refer to https://ergo-code.github.io/HiGHS/dev/options/definitions/
-      threads: 1
-      solver: "ipm"
-      run_crossover: "off"
-      small_matrix_value: 1e-6
-      large_matrix_value: 1e9
-      primal_feasibility_tolerance: 1e-5
-      dual_feasibility_tolerance: 1e-5
-      ipm_optimality_tolerance: 1e-4
-      parallel: "on"
-      random_seed: 123
-    highs-simplex:
-      solver: "simplex"
-      parallel: "on"
-      primal_feasibility_tolerance: 1e-5
-      dual_feasibility_tolerance: 1e-5
-      random_seed: 123
-    gurobi-default:
-      threads: 32
-      method: 2 # barrier
-      crossover: 0
-      BarConvTol: 1.e-5
-      Seed: 123
-      AggFill: 0
-      PreDual: 0
-      GURO_PAR_BARDENSETHRESH: 200
-    gurobi-numeric-focus:
-      NumericFocus: 3       # Favour numeric stability over speed
-      method: 2             # barrier
-      crossover: 0          # do not use crossover
-      BarHomogeneous: 1     # Use homogeneous barrier if standard does not converge
-      BarConvTol: 1.e-5
-      FeasibilityTol: 1.e-4
-      OptimalityTol: 1.e-4
-      ObjScale: -0.5
-      threads: 8
-      Seed: 123
-    gurobi-fallback:        # Use gurobi defaults
-      crossover: 0
-      method: 2             # barrier
-      BarHomogeneous: 1     # Use homogeneous barrier if standard does not converge
-      BarConvTol: 1.e-5
-      FeasibilityTol: 1.e-5
-      OptimalityTol: 1.e-5
-      Seed: 123
-      threads: 8
-    cplex-default:
-      threads: 4
-      lpmethod: 4 # barrier
-      solutiontype: 2 # non basic solution, ie no crossover
-      barrier.convergetol: 1.e-5
-      feasopt.tolerance: 1.e-6
-    copt-default:
-      Threads: 8
-      LpMethod: 2
-      Crossover: 0
-      RelGap: 1.e-6
-      Dualize: 0
-    copt-gpu:
-      LpMethod: 6
-      GPUMode: 1
-      PDLPTol: 1.e-5
-      Crossover: 0
-    cbc-default: {} # Used in CI
-    glpk-default: {} # Used in CI
-
-  check_objective:
-    enable: false
-    expected_value: None
-    atol: 1_000_000
-    rtol: 0.01
-
-  mem_mb: 128000
-  memory_logging_frequency: 5 # in seconds
-  runtime: 48h #runtime in humanfriendly style https://humanfriendly.readthedocs.io/en/latest/
+  corine: ""
diff --git a/config/examples/config.distribution-grid-experimental.yaml b/config/examples/config.distribution-grid-experimental.yaml
index abdb51407..de36db569 100644
--- a/config/examples/config.distribution-grid-experimental.yaml
+++ b/config/examples/config.distribution-grid-experimental.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/examples/config.entsoe-all.yaml b/config/examples/config.entsoe-all.yaml
index 64a831a82..b1d0dde90 100644
--- a/config/examples/config.entsoe-all.yaml
+++ b/config/examples/config.entsoe-all.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/examples/config.iterative.yaml b/config/examples/config.iterative.yaml
index 2836f7c5e..24c0b6ea3 100644
--- a/config/examples/config.iterative.yaml
+++ b/config/examples/config.iterative.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/examples/config.perfect.yaml b/config/examples/config.perfect.yaml
index dd0b497ba..07af9a019 100644
--- a/config/examples/config.perfect.yaml
+++ b/config/examples/config.perfect.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/examples/config.validation.yaml b/config/examples/config.validation.yaml
index f73bb4dbf..ccd03c77f 100644
--- a/config/examples/config.validation.yaml
+++ b/config/examples/config.validation.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/plotting.default.yaml b/config/plotting.default.yaml
index 28dbd27d0..ea7d45fe5 100644
--- a/config/plotting.default.yaml
+++ b/config/plotting.default.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=./schema.json
 # SPDX-FileCopyrightText: : 2017-2024 The PyPSA-Eur Authors
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/schema.json b/config/schema.json
new file mode 100644
index 000000000..257447477
--- /dev/null
+++ b/config/schema.json
@@ -0,0 +1,12863 @@
+{
+  "$defs": {
+    "AdjustmentsConfig": {
+      "description": "Configuration for top-level adjustments key.",
+      "properties": {
+        "electricity": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "description": "Configuration for adjustment settings (factor/absolute)",
+              "properties": {
+                "factor": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Multiply original value with given factor"
+                },
+                "absolute": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Set attribute to absolute value. Can be also a dictionary with planning horizons as keys."
+                }
+              }
+            }
+          ],
+          "default": false,
+          "description": "Parameter adjustments applied in `prepare_network`."
+        },
+        "sector": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "description": "Configuration for adjustment settings (factor/absolute)",
+              "properties": {
+                "factor": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Multiply original value with given factor"
+                },
+                "absolute": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Set attribute to absolute value. Can be also a dictionary with planning horizons as keys."
+                }
+              }
+            }
+          ],
+          "description": "Parameter adjustments applied in `prepare_sector_network`."
+        }
+      }
+    },
+    "AtliteConfig": {
+      "description": "Configuration for `atlite` settings.",
+      "properties": {
+        "default_cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "europe-1940-2024-era5",
+          "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
+        },
+        "nprocesses": {
+          "default": 16,
+          "description": "Number of parallel processes in cutout preparation.",
+          "type": "integer"
+        },
+        "show_progress": {
+          "default": false,
+          "description": "Whether progressbar for atlite conversion processes should be shown. False saves time.",
+          "type": "boolean"
+        },
+        "cutouts": {
+          "additionalProperties": {
+            "description": "Configuration for a single cutout in `atlite.cutouts`.",
+            "properties": {
+              "module": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "items": {
+                      "type": "string"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Source of the reanalysis weather dataset (e.g. `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_ or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`_).",
+                "markdownDescription": "Source of the reanalysis weather dataset (e.g. [ERA5 ](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) or [SARAH-3 ](https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002))."
+              },
+              "x": {
+                "anyOf": [
+                  {
+                    "items": {
+                      "type": "number"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Range of longitudes [\u00b0] to download weather data for. Float interval within [-180, 180]. If not defined, it defaults to the spatial bounds of all bus shapes."
+              },
+              "y": {
+                "anyOf": [
+                  {
+                    "items": {
+                      "type": "number"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Range of latitudes [\u00b0] to download weather data for. Float interval within [-90, 90]. If not defined, it defaults to the spatial bounds of all bus shapes."
+              },
+              "dx": {
+                "anyOf": [
+                  {
+                    "exclusiveMinimum": 0.25,
+                    "type": "number"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Grid resolution [\u00b0] for longitude. Must be larger than 0.25\u00b0."
+              },
+              "dy": {
+                "anyOf": [
+                  {
+                    "exclusiveMinimum": 0.25,
+                    "type": "number"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Grid resolution [\u00b0] for latitude. Must be larger than 0.25\u00b0."
+              },
+              "time": {
+                "anyOf": [
+                  {
+                    "items": {
+                      "type": "string"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots."
+              },
+              "chunks": {
+                "anyOf": [
+                  {
+                    "description": "Configuration for `atlite.cutouts.{name}.chunks` settings.",
+                    "properties": {
+                      "time": {
+                        "anyOf": [
+                          {
+                            "type": "integer"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Chunk size for time dimension when preparing cutout."
+                      }
+                    }
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Chunking configuration for cutout preparation."
+              },
+              "prepare_kwargs": {
+                "anyOf": [
+                  {
+                    "description": "Configuration for `atlite.cutouts.{name}.prepare_kwargs` settings.",
+                    "properties": {
+                      "features": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "items": {
+                              "type": "string"
+                            },
+                            "type": "array"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features."
+                      },
+                      "sarah_dir": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the `atlite documentation <https://atlite.readthedocs.io>`_ for details. Required for building cutouts with SARAH, not required for ERA5 cutouts.",
+                        "markdownDescription": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the [atlite documentation ](https://atlite.readthedocs.io) for details. Required for building cutouts with SARAH, not required for ERA5 cutouts."
+                      },
+                      "monthly_requests": {
+                        "anyOf": [
+                          {
+                            "type": "boolean"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Whether to use monthly requests for ERA5 data when building the cutout. Helpful to avoid running into request limits with large cutouts."
+                      },
+                      "tmpdir": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Path to a temporary directory where intermediate files are stored when building the cutout. Helpful when building large cutouts."
+                      }
+                    }
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Dictionary of keyword arguments passed to ``atlite.Cutout.prepare()`` when building the cutout."
+              }
+            }
+          },
+          "description": "Named cutout configurations.",
+          "type": "object"
+        }
+      }
+    },
+    "BiomassConfig": {
+      "description": "Configuration for `biomass` settings.",
+      "properties": {
+        "year": {
+          "default": 2030,
+          "description": "Year for which to retrieve biomass potential according to the assumptions of the `JRC ENSPRESO <https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f>`_.",
+          "markdownDescription": "Year for which to retrieve biomass potential according to the assumptions of the [JRC ENSPRESO ](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f).",
+          "maximum": 2050,
+          "minimum": 2010,
+          "type": "integer"
+        },
+        "scenario": {
+          "default": "ENS_Med",
+          "description": "Scenario for which to retrieve biomass potential. The scenario definition can be seen in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`_.",
+          "markdownDescription": "Scenario for which to retrieve biomass potential. The scenario definition can be seen in [ENSPRESO_BIOMASS ](https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx).",
+          "enum": [
+            "ENS_Low",
+            "ENS_Med",
+            "ENS_High"
+          ],
+          "type": "string"
+        },
+        "classes": {
+          "description": "Configuration for `biomass.classes` settings.",
+          "properties": {
+            "solid biomass": {
+              "description": "The comodity that are included as solid biomass.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "not included": {
+              "description": "The comodity that are not included as a biomass potential.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "biogas": {
+              "description": "The comodity that are included as biogas.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "municipal solid waste": {
+              "description": "The commodities that are included as municipal solid waste.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "share_unsustainable_use_retained": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Share of unsustainable biomass use retained using primary production of Eurostat data as reference.",
+          "type": "object"
+        },
+        "share_sustainable_potential_available": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Share determines phase-in of ENSPRESO biomass potentials.",
+          "type": "object"
+        }
+      }
+    },
+    "ClusteringConfig": {
+      "description": "Configuration for `clustering` settings.",
+      "properties": {
+        "mode": {
+          "default": "busmap",
+          "description": "'busmap': Default. 'custom_busmap': Enable the use of custom busmaps in rule `cluster_network`. If activated the rule looks for provided busmaps at ``data/busmaps/base_s_{clusters}_{base_network}.csv`` which should have the same format as ``resources/busmap_base_s_{clusters}.csv``, i.e. the index should contain the buses of ``networks/base_s.nc``. {base_network} is the name of the selected base_network in electricity, e.g. ``gridkit``, ``osm-prebuilt``, or ``osm-raw``. 'administrative': Clusters and indexes the network based on the administrative regions of the countries based on ``nuts3_shapes.geojson`` (level: 1, 2, 3, bz). To activate this, additionally set the ``clusters`` wildcard in ``scenario`` to 'adm'. 'custom_busshapes': Enable the use of custom shapes in rule `cluster_network`. If activated the rule looks for provided busshapes at ``data/busshapes/base_s_{clusters}_{base_network}.geojson``.",
+          "enum": [
+            "busmap",
+            "custom_busmap",
+            "administrative",
+            "custom_busshapes"
+          ],
+          "type": "string"
+        },
+        "administrative": {
+          "description": "Configuration for `clustering.administrative` settings.",
+          "properties": {
+            "level": {
+              "default": 1,
+              "description": "Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level, 'bz': Bidding zones. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1.",
+              "enum": [
+                0,
+                1,
+                2,
+                3,
+                "bz"
+              ]
+            },
+            "countries": {
+              "additionalProperties": {
+                "type": "integer"
+              },
+              "description": "Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`.",
+              "type": "object"
+            }
+          }
+        },
+        "focus_weights": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "type": "object"
+            }
+          ],
+          "default": false,
+          "description": "Optionally specify the focus weights for the clustering of countries. For instance: `DE: 0.8` will distribute 80% of all nodes to Germany and 20% to the rest of the countries. Only applies when mode is set to `busmap`."
+        },
+        "copperplate_regions": {
+          "description": "Optionally specify the regions to copperplate as a list of groups. Each group is a list of region codes that will be connected with infinite capacity lines.",
+          "items": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "type": "array"
+        },
+        "build_bidding_zones": {
+          "description": "Configuration for `clustering.build_bidding_zones` settings.",
+          "properties": {
+            "remove_islands": {
+              "default": false,
+              "description": "Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira.",
+              "type": "boolean"
+            },
+            "aggregate_to_tyndp": {
+              "default": false,
+              "description": "Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape.",
+              "type": "boolean"
+            }
+          }
+        },
+        "simplify_network": {
+          "description": "Configuration for `clustering.simplify_network` settings.",
+          "properties": {
+            "to_substations": {
+              "default": false,
+              "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
+              "type": "boolean"
+            },
+            "exclude_carriers": {
+              "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "remove_stubs": {
+              "default": true,
+              "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
+              "type": "boolean"
+            },
+            "remove_stubs_across_borders": {
+              "default": false,
+              "description": "Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true.",
+              "type": "boolean"
+            }
+          }
+        },
+        "cluster_network": {
+          "description": "Configuration for `clustering.cluster_network` settings.",
+          "properties": {
+            "algorithm": {
+              "default": "kmeans",
+              "description": "Clustering algorithm to use.",
+              "enum": [
+                "kmeans",
+                "hac"
+              ],
+              "type": "string"
+            },
+            "hac_features": {
+              "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "exclude_carriers": {
+          "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "consider_efficiency_classes": {
+          "default": false,
+          "description": "Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
+          "type": "boolean"
+        },
+        "aggregation_strategies": {
+          "description": "Configuration for `clustering.aggregation_strategies` settings.",
+          "properties": {
+            "generators": {
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator.",
+              "type": "object"
+            },
+            "buses": {
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus.",
+              "type": "object"
+            }
+          }
+        },
+        "temporal": {
+          "description": "Configuration for `clustering.temporal` settings.",
+          "properties": {
+            "resolution_elec": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Resample the time-resolution by averaging over every `n` snapshots in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks."
+            },
+            "resolution_sector": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Resample the time-resolution by averaging over every `n` snapshots in `prepare_sector_network`."
+            }
+          }
+        }
+      }
+    },
+    "Co2BudgetConfig": {
+      "additionalProperties": {
+        "type": "number"
+      },
+      "description": "Configuration for `co2_budget` settings.",
+      "type": "object"
+    },
+    "ConventionalConfig": {
+      "additionalProperties": true,
+      "description": "Configuration for `conventional` settings.",
+      "properties": {
+        "unit_commitment": {
+          "default": false,
+          "description": "Allow the overwrite of ramp_limit_up, ramp_limit_start_up, ramp_limit_shut_down, p_min_pu, min_up_time, min_down_time, and start_up_cost of conventional generators. Refer to the CSV file 'unit_commitment.csv'.",
+          "type": "boolean"
+        },
+        "dynamic_fuel_price": {
+          "default": false,
+          "description": "Consider the monthly fluctuating fuel prices for each conventional generator. Refer to the CSV file 'data/validation/monthly_fuel_price.csv'.",
+          "type": "boolean"
+        },
+        "nuclear": {
+          "additionalProperties": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "number"
+              }
+            ]
+          },
+          "description": "For any carrier/technology overwrite attributes as listed below.",
+          "type": "object"
+        }
+      }
+    },
+    "CostsConfig": {
+      "description": "Configuration for `costs` settings.",
+      "properties": {
+        "year": {
+          "default": 2050,
+          "description": "Year for which to retrieve cost assumptions of `data/costs/primary/<version>/costs_<year>.csv`.",
+          "type": "integer"
+        },
+        "social_discountrate": {
+          "default": 0.02,
+          "description": "Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%.",
+          "type": "number"
+        },
+        "fill_values": {
+          "description": "Configuration for `costs.fill_values` settings.",
+          "properties": {
+            "FOM": {
+              "default": 0,
+              "description": "Default fixed operation and maintenance cost.",
+              "type": "number"
+            },
+            "VOM": {
+              "default": 0,
+              "description": "Default variable operation and maintenance cost.",
+              "type": "number"
+            },
+            "efficiency": {
+              "default": 1,
+              "description": "Default efficiency.",
+              "type": "number"
+            },
+            "fuel": {
+              "default": 0,
+              "description": "Default fuel cost.",
+              "type": "number"
+            },
+            "investment": {
+              "default": 0,
+              "description": "Default investment cost.",
+              "type": "number"
+            },
+            "lifetime": {
+              "default": 25,
+              "description": "Default lifetime in years.",
+              "type": "integer"
+            },
+            "CO2 intensity": {
+              "default": 0,
+              "description": "Default CO2 intensity.",
+              "type": "number"
+            },
+            "discount rate": {
+              "default": 0.07,
+              "description": "Default discount rate.",
+              "type": "number"
+            },
+            "standing losses": {
+              "default": 0,
+              "description": "Default standing losses.",
+              "type": "number"
+            }
+          }
+        },
+        "custom_cost_fn": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": "data/custom_costs.csv",
+          "description": "Path to the custom costs file. None if it should not be used. Default `data/custom_costs.csv` contains minor adjustments for stabilising the optimisation results."
+        },
+        "overwrites": {
+          "additionalProperties": {
+            "additionalProperties": {
+              "type": "number"
+            },
+            "type": "object"
+          },
+          "description": "For the given parameters and technologies, assumptions about their parameter are overwritten the corresponding value of the technology.",
+          "type": "object"
+        },
+        "capital_cost": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`.",
+          "type": "object"
+        },
+        "marginal_cost": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`.",
+          "type": "object"
+        },
+        "emission_prices": {
+          "description": "Configuration for `costs.emission_prices` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add cost for a carbon-dioxide price configured in `costs: emission_prices: co2` to `marginal_cost` of generators. Config setting can also be enabled with the keyword `Ep` in the `{opts}` wildcard for electricity-only runs.",
+              "type": "boolean"
+            },
+            "co2": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "type": "object"
+                }
+              ],
+              "default": 0.0,
+              "description": "Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere."
+            },
+            "co2_monthly_prices": {
+              "default": false,
+              "description": "Add monthly cost for a carbon-dioxide price based on historical values built by the rule `build_monthly_prices`.",
+              "type": "boolean"
+            }
+          }
+        }
+      }
+    },
+    "CountriesConfig": {
+      "default": [
+        "AL",
+        "AT",
+        "BA",
+        "BE",
+        "BG",
+        "CH",
+        "CZ",
+        "DE",
+        "DK",
+        "EE",
+        "ES",
+        "FI",
+        "FR",
+        "GB",
+        "GR",
+        "HR",
+        "HU",
+        "IE",
+        "IT",
+        "LT",
+        "LU",
+        "LV",
+        "ME",
+        "MK",
+        "NL",
+        "NO",
+        "PL",
+        "PT",
+        "RO",
+        "RS",
+        "SE",
+        "SI",
+        "SK",
+        "XK"
+      ],
+      "description": "Configuration for `countries` settings.",
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    "DataConfig": {
+      "description": "Configuration for `data` settings.",
+      "properties": {
+        "hotmaps_industrial_sites": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "enspreso_biomass": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "osm": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "worldbank_urban_population": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gem_europe_gas_tracker": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "co2stop": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "nitrogen_statistics": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eu_nuts2013": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eu_nuts2021": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eurostat_balances": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eurostat_household_balances": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "wdpa": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "wdpa_marine": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "luisa_land_cover": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "jrc_idees": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "scigrid_gas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "synthetic_electricity_demand": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "copernicus_land_cover": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ship_raster": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eez": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "nuts3_population": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gdp_per_capita": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "population_count": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ghg_emissions": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gebco": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "attributed_ports": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "corine": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "emobility": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "h2_salt_caverns": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "lau_regions": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "aquifer_data": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "osm_boundaries": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gem_gspt": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "tyndp": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "powerplants": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "costs": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "country_runoff": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "country_hdd": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "natura": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "bfs_road_vehicle_stock": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "bfs_gdp_and_population": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "mobility_profiles": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "cutout": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "dh_areas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "geothermal_heat_utilisation_potentials": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "jrc_ardeco": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "ElectricityConfig": {
+      "description": "Configuration for `electricity` settings.",
+      "properties": {
+        "voltages": {
+          "description": "Voltage levels to consider.",
+          "items": {
+            "type": "number"
+          },
+          "type": "array"
+        },
+        "base_network": {
+          "default": "osm",
+          "description": "Specify the underlying base network, i.e. GridKit (based on ENTSO-E web map extract), OpenStreetMap (OSM), or TYNDP.",
+          "enum": [
+            "entsoegridkit",
+            "osm",
+            "tyndp"
+          ],
+          "type": "string"
+        },
+        "gaslimit_enable": {
+          "default": false,
+          "description": "Add an overall absolute gas limit configured in `electricity: gaslimit`.",
+          "type": "boolean"
+        },
+        "gaslimit": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Global gas usage limit."
+        },
+        "co2limit_enable": {
+          "default": false,
+          "description": "Add an overall absolute carbon-dioxide emissions limit configured in `electricity: co2limit` in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks.",
+          "type": "boolean"
+        },
+        "co2limit": {
+          "default": 77500000.0,
+          "description": "Cap on total annual system carbon dioxide emissions.",
+          "type": "number"
+        },
+        "co2base": {
+          "default": 1487000000.0,
+          "description": "Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in `{opts}` wildcard.",
+          "type": "number"
+        },
+        "operational_reserve": {
+          "description": "Configuration for `electricity.operational_reserve` settings.",
+          "properties": {
+            "activate": {
+              "default": false,
+              "description": "Whether to take operational reserve requirements into account during optimisation.",
+              "type": "boolean"
+            },
+            "epsilon_load": {
+              "default": 0.02,
+              "description": "share of total load.",
+              "type": "number"
+            },
+            "epsilon_vres": {
+              "default": 0.02,
+              "description": "share of total renewable supply.",
+              "type": "number"
+            },
+            "contingency": {
+              "default": 4000,
+              "description": "Fixed reserve capacity (MW).",
+              "type": "number"
+            }
+          }
+        },
+        "max_hours": {
+          "description": "Configuration for `electricity.max_hours` settings.",
+          "properties": {
+            "battery": {
+              "default": 6,
+              "description": "Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+              "type": "number"
+            },
+            "H2": {
+              "default": 168,
+              "description": "Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+              "type": "number"
+            }
+          }
+        },
+        "extendable_carriers": {
+          "description": "Configuration for `electricity.extendable_carriers` settings.",
+          "properties": {
+            "Generator": {
+              "description": "Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the `conventional_carriers` list, the lower limit of the capacity expansion is set to 0.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "StorageUnit": {
+              "description": "Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "Store": {
+              "description": "Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "Link": {
+              "description": "Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as `Store`.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "powerplants_filter": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": "(DateOut >= 2024 or DateOut != DateOut) and not (Country == 'Germany' and Fueltype == 'Nuclear')",
+          "description": "Filter query for the default powerplant database."
+        },
+        "custom_powerplants": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Filter query for the custom powerplant database."
+        },
+        "everywhere_powerplants": {
+          "description": "List of conventional power plants to add to every node in the model with zero initial capacity. To be used in combination with `extendable_carriers` to allow for building conventional powerplants irrespective of existing locations.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "conventional_carriers": {
+          "description": "List of conventional power plants to include in the model from `resources/powerplants_s_{clusters}.csv`. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "renewable_carriers": {
+          "description": "List of renewable generators to include in the model.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "estimate_renewable_capacities": {
+          "description": "Configuration for `electricity.estimate_renewable_capacities` settings.",
+          "properties": {
+            "enable": {
+              "default": true,
+              "description": "Activate routine to estimate renewable capacities in rule `add_electricity`. This option should not be used in combination with pathway planning `foresight: myopic` or `foresight: perfect` as renewable capacities are added differently in `add_existing_baseyear`.",
+              "type": "boolean"
+            },
+            "from_gem": {
+              "default": true,
+              "description": "Add renewable capacities from `Global Energy Monitor's Global Solar Power Tracker <https://globalenergymonitor.org/projects/global-solar-power-tracker/>`_ and `Global Energy Monitor's Global Wind Power Tracker <https://globalenergymonitor.org/projects/global-wind-power-tracker/>`_.",
+              "markdownDescription": "Add renewable capacities from [Global Energy Monitor's Global Solar Power Tracker ](https://globalenergymonitor.org/projects/global-solar-power-tracker/) and [Global Energy Monitor's Global Wind Power Tracker ](https://globalenergymonitor.org/projects/global-wind-power-tracker/).",
+              "type": "boolean"
+            },
+            "year": {
+              "default": 2020,
+              "description": "Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year.",
+              "type": "integer"
+            },
+            "expansion_limit": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "boolean"
+                }
+              ],
+              "default": false,
+              "description": "Artificially limit maximum IRENA capacities to a factor. For example, an `expansion_limit: 1.1` means 110% of capacities. If false are chosen, the estimated renewable potentials determine by the workflow are used."
+            },
+            "technology_mapping": {
+              "description": "Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings.",
+              "properties": {
+                "Offshore": {
+                  "default": "offwind-ac",
+                  "description": "PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM).",
+                  "type": "string"
+                },
+                "Onshore": {
+                  "default": "onwind",
+                  "description": "PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM).",
+                  "type": "string"
+                },
+                "PV": {
+                  "default": "solar",
+                  "description": "PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM).",
+                  "type": "string"
+                }
+              }
+            }
+          }
+        },
+        "autarky": {
+          "description": "Configuration for `electricity.autarky` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Require each node to be autarkic by removing all lines and links.",
+              "type": "boolean"
+            },
+            "by_country": {
+              "default": false,
+              "description": "Require each country to be autarkic by removing all cross-border lines and links. `electricity: autarky` must be enabled.",
+              "type": "boolean"
+            }
+          }
+        },
+        "transmission_limit": {
+          "default": "vopt",
+          "description": "Limit on transmission expansion. The first part can be `v` (for setting a limit on line volume) or `c` (for setting a limit on line cost). The second part can be `opt` or a float bigger than one (e.g. 1.25). If `opt` is chosen line expansion is optimised according to its capital cost (where the choice `v` only considers overhead costs for HVDC transmission lines, while `c` uses more accurate costs distinguishing between overhead and underwater sections and including inverter pairs). The setting `v1.25` will limit the total volume of line expansion to 25% of currently installed capacities weighted by individual line lengths. The setting `c1.25` will allow to build a transmission network that costs no more than 25 % more than the current system.",
+          "type": "string"
+        }
+      }
+    },
+    "EnableConfig": {
+      "description": "Configuration for `enable` settings.",
+      "properties": {
+        "drop_leap_day": {
+          "default": true,
+          "description": "Switch to drop February 29 from all time-dependent data in leap years.",
+          "type": "boolean"
+        }
+      }
+    },
+    "EnergyConfig": {
+      "description": "Configuration for `energy` settings.",
+      "properties": {
+        "energy_totals_year": {
+          "default": 2019,
+          "description": "The year for the sector energy use. The year must be available in the Eurostat report.",
+          "type": "integer"
+        },
+        "base_emissions_year": {
+          "default": 1990,
+          "description": "The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_.",
+          "markdownDescription": "The base year for the sector emissions. See [European Environment Agency (EEA) ](https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16).",
+          "type": "integer"
+        },
+        "emissions": {
+          "default": "CO2",
+          "description": "Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented.",
+          "type": "string"
+        }
+      }
+    },
+    "ExistingCapacitiesConfig": {
+      "description": "Configuration for `existing_capacities` settings.",
+      "properties": {
+        "grouping_years_power": {
+          "description": "Intervals to group existing capacities for power.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "grouping_years_heat": {
+          "description": "Intervals to group existing capacities for heat.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "threshold_capacity": {
+          "default": 10,
+          "description": "Capacities (MW) of generators and links below threshold are removed during add_existing_capacities.",
+          "type": "number"
+        },
+        "default_heating_lifetime": {
+          "default": 20,
+          "description": "Default lifetime for heating technologies (years).",
+          "type": "integer"
+        },
+        "conventional_carriers": {
+          "description": "List of conventional power plants to include in the sectoral network.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "ForesightConfig": {
+      "default": "overnight",
+      "description": "Configuration for `foresight` settings.",
+      "enum": [
+        "overnight",
+        "myopic",
+        "perfect"
+      ],
+      "type": "string"
+    },
+    "IndustryConfig": {
+      "description": "Configuration for `industry` settings.",
+      "properties": {
+        "St_primary_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6.",
+          "type": "object"
+        },
+        "DRI_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of the primary route DRI + EAF.",
+          "type": "object"
+        },
+        "H2_DRI": {
+          "default": 1.7,
+          "description": "The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_.",
+          "markdownDescription": "The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in [Vogl et al (2018) ](https://doi.org/10.1016/j.jclepro.2018.08.279).",
+          "type": "number"
+        },
+        "elec_DRI": {
+          "default": 0.322,
+          "description": "The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_.",
+          "markdownDescription": "The electricity consumed in Direct Reduced Iron (DRI) shaft. From [HYBRIT brochure ](https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf).",
+          "type": "number"
+        },
+        "Al_primary_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4.",
+          "type": "object"
+        },
+        "MWh_NH3_per_tNH3": {
+          "default": 5.166,
+          "description": "The energy amount per ton of ammonia (LHV).",
+          "type": "number"
+        },
+        "MWh_CH4_per_tNH3_SMR": {
+          "default": 10.8,
+          "description": "The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_.",
+          "markdownDescription": "The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from [Center for European Policy Studies (2008) ](https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf).",
+          "type": "number"
+        },
+        "MWh_elec_per_tNH3_SMR": {
+          "default": 0.7,
+          "description": "The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3.",
+          "type": "number"
+        },
+        "MWh_H2_per_tNH3_electrolysis": {
+          "default": 5.93,
+          "description": "The energy amount of hydrogen needed to produce a ton of ammonia using Haber\u2013Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy).",
+          "markdownDescription": "The energy amount of hydrogen needed to produce a ton of ammonia using Haber\u2013Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy).",
+          "type": "number"
+        },
+        "MWh_elec_per_tNH3_electrolysis": {
+          "default": 0.2473,
+          "description": "The energy amount of electricity needed to produce a ton of ammonia using Haber\u2013Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB).",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of ammonia using Haber\u2013Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Table 13 (air separation and HB).",
+          "type": "number"
+        },
+        "MWh_NH3_per_MWh_H2_cracker": {
+          "default": 1.46,
+          "description": "The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker.",
+          "type": "number"
+        },
+        "NH3_process_emissions": {
+          "default": 24.5,
+          "description": "The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28.",
+          "type": "number"
+        },
+        "petrochemical_process_emissions": {
+          "default": 25.5,
+          "description": "The emission of petrochemical production. From UNFCCC for 2015 for EU28.",
+          "type": "number"
+        },
+        "HVC_primary_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of high value chemicals (HVC) produced via primary route.",
+          "type": "object"
+        },
+        "HVC_mechanical_recycling_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of high value chemicals (HVC) produced using mechanical recycling.",
+          "type": "object"
+        },
+        "HVC_chemical_recycling_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of high value chemicals (HVC) produced using chemical recycling.",
+          "type": "object"
+        },
+        "HVC_environment_sequestration_fraction": {
+          "default": 0.0,
+          "description": "The fraction of high value chemicals (HVC) put into landfill resulting in additional carbon sequestration. The default value is 0.",
+          "type": "number"
+        },
+        "waste_to_energy": {
+          "default": false,
+          "description": "Switch to enable expansion of waste to energy CHPs for conversion of plastics. Default is false.",
+          "type": "boolean"
+        },
+        "waste_to_energy_cc": {
+          "default": false,
+          "description": "Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false.",
+          "type": "boolean"
+        },
+        "sector_ratios_fraction_future": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of total progress in fuel and process switching achieved in the industry sector.",
+          "type": "object"
+        },
+        "basic_chemicals_without_NH3_production_today": {
+          "default": 69.0,
+          "description": "The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3).",
+          "type": "number"
+        },
+        "HVC_production_today": {
+          "default": 52.0,
+          "description": "The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107.",
+          "markdownDescription": "The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Figure 16, page 107.",
+          "type": "number"
+        },
+        "MWh_elec_per_tHVC_mechanical_recycling": {
+          "default": 0.547,
+          "description": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of [Meys et al (2020) ](https://doi.org/10.1016/j.resconrec.2020.105010), Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.",
+          "type": "number"
+        },
+        "MWh_elec_per_tHVC_chemical_recycling": {
+          "default": 6.9,
+          "description": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From [Material Economics (2019) ](https://materialeconomics.com/latest-updates/industrial-transformation-2050), page 125.",
+          "type": "number"
+        },
+        "chlorine_production_today": {
+          "default": 9.58,
+          "description": "The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43.",
+          "markdownDescription": "The amount of chlorine produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 7, page 43.",
+          "type": "number"
+        },
+        "MWh_elec_per_tCl": {
+          "default": 3.6,
+          "description": "The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of chlorine. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 6 page 43.",
+          "type": "number"
+        },
+        "MWh_H2_per_tCl": {
+          "default": -0.9372,
+          "description": "The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43.",
+          "markdownDescription": "The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 43.",
+          "type": "number"
+        },
+        "methanol_production_today": {
+          "default": 1.5,
+          "description": "The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62.",
+          "markdownDescription": "The amount of methanol produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 62.",
+          "type": "number"
+        },
+        "MWh_elec_per_tMeOH": {
+          "default": 0.167,
+          "description": "The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of methanol. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65.",
+          "type": "number"
+        },
+        "MWh_CH4_per_tMeOH": {
+          "default": 10.25,
+          "description": "The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65.",
+          "markdownDescription": "The energy amount of methane needed to produce a ton of methanol. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_tMeOH": {
+          "default": 5.528,
+          "description": "The energy amount per ton of methanol (LHV). From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 74.",
+          "markdownDescription": "The energy amount per ton of methanol (LHV). From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 74.",
+          "type": "number"
+        },
+        "hotmaps_locate_missing": {
+          "default": false,
+          "description": "Locate industrial sites without valid locations based on city and countries.",
+          "type": "boolean"
+        },
+        "reference_year": {
+          "default": 2019,
+          "description": "The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
+          "markdownDescription": "The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001).",
+          "type": "integer"
+        },
+        "oil_refining_emissions": {
+          "default": 0.013,
+          "description": "The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar.",
+          "type": "number"
+        }
+      }
+    },
+    "LinesConfig": {
+      "description": "Configuration for `lines` settings.",
+      "properties": {
+        "types": {
+          "additionalProperties": {
+            "type": "string"
+          },
+          "description": "Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV.",
+          "type": "object"
+        },
+        "s_max_pu": {
+          "default": 0.7,
+          "description": "Correction factor for line capacities (`s_nom`) to approximate N-1 security and reserve capacity for reactive power flows.",
+          "type": "number"
+        },
+        "s_nom_max": {
+          "default": null,
+          "description": "Global upper limit for the maximum capacity of each extendable line (MW).",
+          "type": "number"
+        },
+        "max_extension": {
+          "default": 20000,
+          "description": "Upper limit for the extended capacity of each extendable line (MW).",
+          "type": "number"
+        },
+        "length_factor": {
+          "default": 1.25,
+          "description": "Correction factor to account for the fact that buses are *not* connected by lines through air-line distance.",
+          "type": "number"
+        },
+        "reconnect_crimea": {
+          "default": true,
+          "description": "Whether to reconnect Crimea to the Ukrainian grid.",
+          "type": "boolean"
+        },
+        "under_construction": {
+          "default": "keep",
+          "description": "Specifies how to handle lines which are currently under construction.",
+          "enum": [
+            "zero",
+            "remove",
+            "keep"
+          ],
+          "type": "string"
+        },
+        "dynamic_line_rating": {
+          "description": "Configuration for `lines.dynamic_line_rating` settings.",
+          "properties": {
+            "activate": {
+              "default": false,
+              "description": "Whether to take dynamic line rating into account.",
+              "type": "boolean"
+            },
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "correction_factor": {
+              "default": 0.95,
+              "description": "Factor to compensate for overestimation of wind speeds in hourly averaged wind data.",
+              "type": "number"
+            },
+            "max_voltage_difference": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "const": false,
+                  "type": "boolean"
+                }
+              ],
+              "default": false,
+              "description": "Maximum voltage angle difference in degrees or 'false' to disable."
+            },
+            "max_line_rating": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "const": false,
+                  "type": "boolean"
+                }
+              ],
+              "default": false,
+              "description": "Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable."
+            }
+          }
+        }
+      }
+    },
+    "LinksConfig": {
+      "description": "Configuration for `links` settings.",
+      "properties": {
+        "p_max_pu": {
+          "default": 1.0,
+          "description": "Correction factor for link capacities `p_nom`.",
+          "type": "number"
+        },
+        "p_min_pu": {
+          "default": -1.0,
+          "description": "Correction factor for link capacities `p_nom`.",
+          "type": "number"
+        },
+        "p_nom_max": {
+          "default": null,
+          "description": "Global upper limit for the maximum capacity of each extendable DC link (MW).",
+          "type": "number"
+        },
+        "max_extension": {
+          "default": 30000,
+          "description": "Upper limit for the extended capacity of each extendable DC link (MW).",
+          "type": "number"
+        },
+        "length_factor": {
+          "default": 1.25,
+          "description": "Correction factor to account for the fact that buses are *not* connected by links through air-line distance.",
+          "type": "number"
+        },
+        "under_construction": {
+          "default": "keep",
+          "description": "Specifies how to handle lines which are currently under construction.",
+          "enum": [
+            "zero",
+            "remove",
+            "keep"
+          ],
+          "type": "string"
+        }
+      }
+    },
+    "LoadConfig": {
+      "description": "Configuration for `load` settings.",
+      "properties": {
+        "fill_gaps": {
+          "description": "Configuration for `load.fill_gaps` settings.",
+          "properties": {
+            "enable": {
+              "default": true,
+              "description": "Whether to fill gaps using interpolation for small gaps and time shift for large gaps.",
+              "type": "boolean"
+            },
+            "interpolate_limit": {
+              "default": 3,
+              "description": "Maximum gap size (consecutive nans) which interpolated linearly.",
+              "type": "integer"
+            },
+            "time_shift_for_large_gaps": {
+              "default": "1w",
+              "description": "Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid `pandas` period strings.",
+              "type": "string"
+            }
+          }
+        },
+        "manual_adjustments": {
+          "default": true,
+          "description": "Whether to adjust the load data manually according to the function in `manual_adjustment`.",
+          "type": "boolean"
+        },
+        "scaling_factor": {
+          "default": 1.0,
+          "description": "Global correction factor for the load time series.",
+          "type": "number"
+        },
+        "fixed_year": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "To specify a fixed year for the load time series that deviates from the snapshots' year."
+        },
+        "supplement_synthetic": {
+          "default": true,
+          "description": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from `Zenodo <https://zenodo.org/records/10820928>`_.",
+          "markdownDescription": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928).",
+          "type": "boolean"
+        },
+        "distribution_key": {
+          "description": "Configuration for `load.distribution_key` settings.",
+          "properties": {
+            "gdp": {
+              "default": 0.6,
+              "description": "Weighting factor for the GDP data in the distribution key.",
+              "type": "number"
+            },
+            "population": {
+              "default": 0.4,
+              "description": "Weighting factor for the population data in the distribution key.",
+              "type": "number"
+            }
+          }
+        }
+      }
+    },
+    "LoggingConfig": {
+      "description": "Configuration for top level `logging` settings.",
+      "properties": {
+        "level": {
+          "default": "INFO",
+          "description": "Restrict console outputs to all infos, warning or errors only",
+          "enum": [
+            "DEBUG",
+            "INFO",
+            "WARNING",
+            "ERROR",
+            "CRITICAL"
+          ],
+          "type": "string"
+        },
+        "format": {
+          "default": "%(levelname)s:%(name)s:%(message)s",
+          "description": "Custom format for log messages. See `LogRecord <https://docs.python.org/3/library/logging.html#logging.LogRecord>`_ attributes.",
+          "markdownDescription": "Custom format for log messages. See [LogRecord ](https://docs.python.org/3/library/logging.html#logging.LogRecord) attributes.",
+          "type": "string"
+        }
+      }
+    },
+    "OverpassApiConfig": {
+      "description": "Configuration for `overpass_api` settings.",
+      "properties": {
+        "url": {
+          "default": "https://overpass-api.de/api/interpreter",
+          "description": "Overpass API endpoint URL. See `Overpass API Wiki <https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances>`_ for available public instances.",
+          "markdownDescription": "Overpass API endpoint URL. See [Overpass API Wiki ](https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances) for available public instances.",
+          "type": "string"
+        },
+        "max_tries": {
+          "default": 5,
+          "description": "Maximum retry attempts for Overpass API requests. Please be respectful to the Overpass API fair use policy of the individual instances.",
+          "type": "integer"
+        },
+        "timeout": {
+          "default": 600,
+          "description": "Timeout in seconds for Overpass API requests.",
+          "type": "integer"
+        },
+        "user_agent": {
+          "description": "Configuration for `overpass_api.user_agent` settings.",
+          "properties": {
+            "project_name": {
+              "default": "PyPSA-Eur",
+              "description": "Project name used to identify the user agent of the Overpass API requests.",
+              "type": "string"
+            },
+            "email": {
+              "default": "contact@pypsa.org",
+              "description": "Contact email address for the project using the Overpass API.",
+              "type": "string"
+            },
+            "website": {
+              "default": "https://github.com/PyPSA/pypsa-eur",
+              "description": "Website URL for the project using the Overpass API.",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "PypsaEurConfig": {
+      "description": "Configuration for `pypsa_eur` settings.",
+      "properties": {
+        "Bus": {
+          "description": "Bus carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Link": {
+          "description": "Link carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Generator": {
+          "description": "Generator carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "StorageUnit": {
+          "description": "StorageUnit carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Store": {
+          "description": "Store carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "RemoteConfig": {
+      "description": "Configuration for top level `remote` settings.",
+      "properties": {
+        "ssh": {
+          "default": "",
+          "description": "Optionally specify the SSH of a remote cluster to be synchronized.",
+          "type": "string"
+        },
+        "path": {
+          "default": "",
+          "description": "Optionally specify the file path within the remote cluster to be synchronized.",
+          "type": "string"
+        }
+      }
+    },
+    "RenewableConfig": {
+      "description": "Configuration for `renewable` settings.",
+      "properties": {
+        "onwind": {
+          "description": "Configuration for onshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 3,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 1.0,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Configuration for CORINE land cover settings.",
+              "properties": {
+                "grid_codes": {
+                  "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement.",
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                },
+                "distance": {
+                  "default": 1000,
+                  "description": "Distance in meters to keep from areas specified in `distance_grid_codes`.",
+                  "type": "number"
+                },
+                "distance_grid_codes": {
+                  "description": "Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`.",
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              },
+              "required": [
+                "grid_codes"
+              ]
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "additionalProperties": true,
+                  "type": "object"
+                }
+              ],
+              "default": false,
+              "description": "LUISA land cover configuration."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "excluder_resolution": {
+              "default": 100,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            }
+          }
+        },
+        "offwind-ac": {
+          "description": "Configuration for offshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 2,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 0.8855,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "ship_threshold": {
+              "default": 400,
+              "description": "Ship density threshold from which areas are excluded.",
+              "type": "number"
+            },
+            "max_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum water depth in meters."
+            },
+            "max_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "excluder_resolution": {
+              "default": 200,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "landfall_length": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": 20,
+              "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+            }
+          }
+        },
+        "offwind-dc": {
+          "description": "Configuration for offshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 2,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 0.8855,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "ship_threshold": {
+              "default": 400,
+              "description": "Ship density threshold from which areas are excluded.",
+              "type": "number"
+            },
+            "max_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum water depth in meters."
+            },
+            "max_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "excluder_resolution": {
+              "default": 200,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "landfall_length": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": 20,
+              "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+            }
+          }
+        },
+        "offwind-float": {
+          "description": "Configuration for offshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 2,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 0.8855,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "ship_threshold": {
+              "default": 400,
+              "description": "Ship density threshold from which areas are excluded.",
+              "type": "number"
+            },
+            "max_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum water depth in meters."
+            },
+            "max_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "excluder_resolution": {
+              "default": 200,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "landfall_length": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": 20,
+              "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+            }
+          }
+        },
+        "solar": {
+          "description": "Configuration for solar PV.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for solar resource settings.",
+              "properties": {
+                "method": {
+                  "default": "pv",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "panel": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": "CSi",
+                  "description": "Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available."
+                },
+                "orientation": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Panel orientation with slope and azimuth.",
+                  "type": "object"
+                },
+                "tracking": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Tracking type (e.g., 'horizontal')."
+                }
+              }
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 5.1,
+              "description": "Allowable density of solar panel placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 1.0,
+              "description": "A correction factor for the capacity factor (availability) time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "excluder_resolution": {
+              "default": 100,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            }
+          }
+        },
+        "solar-hsat": {
+          "description": "Configuration for solar PV.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for solar resource settings.",
+              "properties": {
+                "method": {
+                  "default": "pv",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "panel": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": "CSi",
+                  "description": "Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available."
+                },
+                "orientation": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Panel orientation with slope and azimuth.",
+                  "type": "object"
+                },
+                "tracking": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Tracking type (e.g., 'horizontal')."
+                }
+              }
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 5.1,
+              "description": "Allowable density of solar panel placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 1.0,
+              "description": "A correction factor for the capacity factor (availability) time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "excluder_resolution": {
+              "default": 100,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            }
+          }
+        },
+        "hydro": {
+          "description": "Configuration for hydropower.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "carriers": {
+              "description": "Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "PHS_max_hours": {
+              "default": 6,
+              "description": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+              "type": "number"
+            },
+            "hydro_max_hours": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "number"
+                }
+              ],
+              "default": "energy_capacity_totals_by_country",
+              "description": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit)."
+            },
+            "flatten_dispatch": {
+              "default": false,
+              "description": "Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in `flatten_dispatch_buffer`.",
+              "type": "boolean"
+            },
+            "flatten_dispatch_buffer": {
+              "default": 0.2,
+              "description": "If `flatten_dispatch` is true, specify the value added above the average capacity factor.",
+              "type": "number"
+            },
+            "clip_min_inflow": {
+              "default": 1.0,
+              "description": "To avoid too small values in the inflow time series, values below this threshold (MW) are set to zero.",
+              "type": "number"
+            },
+            "eia_norm_year": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "integer"
+                }
+              ],
+              "default": false,
+              "description": "To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year."
+            },
+            "eia_correct_by_capacity": {
+              "default": false,
+              "description": "Correct EIA annual hydro generation data by installed capacity.",
+              "type": "boolean"
+            },
+            "eia_approximate_missing": {
+              "default": false,
+              "description": "Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff.",
+              "type": "boolean"
+            }
+          }
+        }
+      }
+    },
+    "RunConfig": {
+      "description": "Configuration for top level `run` settings.",
+      "properties": {
+        "prefix": {
+          "default": "",
+          "description": "Prefix for the run name which is used as a top-layer directory name in the results and resources folders.",
+          "type": "string"
+        },
+        "name": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "",
+          "description": "Specify a name for your run. Results will be stored under this name. If ``scenario: enable:`` is set to ``true``, the name must contain a subset of scenario names defined in ``scenario: file:``. If the name is 'all', all defined scenarios will be run.",
+          "examples": [
+            "my-pypsa-eur-run"
+          ]
+        },
+        "scenarios": {
+          "description": "Configuration for `run.scenarios` level.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Switch to select whether workflow should generate scenarios based on ``file``.",
+              "type": "boolean"
+            },
+            "file": {
+              "default": "config/scenarios.yaml",
+              "description": "Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, ``run: scenarios`` has to be set to ``true`` and ``run: name`` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the ``config/create_scenarios.py`` script in the ``config`` directory.",
+              "examples": [
+                "config/scenarios.yaml"
+              ],
+              "type": "string"
+            }
+          }
+        },
+        "disable_progressbar": {
+          "default": false,
+          "description": "Switch to select whether progressbar should be disabled.",
+          "type": "boolean"
+        },
+        "shared_resources": {
+          "description": "Configuration for `run.shared_resources` level.",
+          "properties": {
+            "policy": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared.",
+              "examples": [
+                false,
+                "base"
+              ]
+            },
+            "exclude": {
+              "description": "For the case shared_resources=base, specify additional files that should not be shared across runs.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "use_shadow_directory": {
+          "default": false,
+          "description": "Set to ``true`` (default) if snakemake shadow directories (``shallow``) should be used. Set to ``false`` if problems occur.",
+          "examples": [
+            true
+          ],
+          "type": "boolean"
+        }
+      }
+    },
+    "ScenarioConfig": {
+      "description": "Configuration for top level `scenario` settings.",
+      "properties": {
+        "clusters": {
+          "description": "List of ``{clusters}`` wildcards to run. Use 'adm' for administrative clustering mode, 'all' for all nodes.",
+          "items": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "enum": [
+                  "adm",
+                  "all"
+                ],
+                "type": "string"
+              }
+            ]
+          },
+          "type": "array"
+        },
+        "opts": {
+          "description": "List of ``{opts}`` wildcards to run.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "sector_opts": {
+          "description": "List of ``{sector_opts}`` wildcards to run.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "planning_horizons": {
+          "description": "List of ``{planning_horizon}`` wildcards to run.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "SecretsConfig": {
+      "description": "Configuration for top level `secrets` settings.",
+      "properties": {
+        "corine": {
+          "default": "",
+          "description": "API token for corine dataset retrieval. You can also pass the token by setting the environment variable \"CORINE_API_TOKEN\". See `scripts/retrieve_corine_dataset_primary.py` for more instructions.",
+          "type": "string"
+        }
+      }
+    },
+    "SectorConfig": {
+      "description": "Configuration for `sector` settings.",
+      "properties": {
+        "transport": {
+          "default": true,
+          "description": "Flag to include transport sector.",
+          "type": "boolean"
+        },
+        "heating": {
+          "default": true,
+          "description": "Flag to include heating sector.",
+          "type": "boolean"
+        },
+        "biomass": {
+          "default": true,
+          "description": "Flag to include biomass sector.",
+          "type": "boolean"
+        },
+        "industry": {
+          "default": true,
+          "description": "Flag to include industry sector.",
+          "type": "boolean"
+        },
+        "shipping": {
+          "default": true,
+          "description": "Flag to include shipping sector.",
+          "type": "boolean"
+        },
+        "aviation": {
+          "default": true,
+          "description": "Flag to include aviation sector.",
+          "type": "boolean"
+        },
+        "agriculture": {
+          "default": true,
+          "description": "Flag to include agriculture sector.",
+          "type": "boolean"
+        },
+        "fossil_fuels": {
+          "default": true,
+          "description": "Flag to include imports of fossil fuels.",
+          "type": "boolean"
+        },
+        "district_heating": {
+          "description": "Configuration for `sector.district_heating` settings.",
+          "properties": {
+            "potential": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "type": "object"
+                }
+              ],
+              "default": 0.6,
+              "description": "Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries."
+            },
+            "progress": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating.",
+              "type": "object"
+            },
+            "district_heating_loss": {
+              "default": 0.15,
+              "description": "Share increase in district heat demand in urban central due to heat losses.",
+              "type": "number"
+            },
+            "supply_temperature_approximation": {
+              "additionalProperties": true,
+              "description": "Supply temperature approximation settings.",
+              "type": "object"
+            },
+            "ptes": {
+              "additionalProperties": true,
+              "description": "Pit thermal energy storage settings.",
+              "type": "object"
+            },
+            "ates": {
+              "additionalProperties": true,
+              "description": "Aquifer thermal energy storage settings.",
+              "type": "object"
+            },
+            "heat_source_cooling": {
+              "default": 6,
+              "description": "Cooling of heat source for heat pumps.",
+              "type": "number"
+            },
+            "heat_pump_cop_approximation": {
+              "additionalProperties": true,
+              "description": "Heat pump COP approximation settings.",
+              "type": "object"
+            },
+            "limited_heat_sources": {
+              "additionalProperties": true,
+              "description": "Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in `Manz et al. 2024 <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`_.",
+              "markdownDescription": "Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in [Manz et al. 2024 ](https://www.sciencedirect.com/science/article/pii/S0960148124001769).",
+              "type": "object"
+            },
+            "direct_utilisation_heat_sources": {
+              "description": "List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. `geothermal`).",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "temperature_limited_stores": {
+              "description": "List of names for stores used as limited heat sources.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "dh_areas": {
+              "additionalProperties": true,
+              "description": "District heating areas settings.",
+              "type": "object"
+            }
+          }
+        },
+        "heat_pump_sources": {
+          "additionalProperties": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "description": "Heat pump sources by area.",
+          "type": "object"
+        },
+        "residential_heat": {
+          "description": "Configuration for `sector.residential_heat` settings.",
+          "properties": {
+            "dsm": {
+              "description": "Configuration for `sector.residential_heat.dsm` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage.",
+                  "type": "boolean"
+                },
+                "direction": {
+                  "description": "'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again.",
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "restriction_value": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility.",
+                  "type": "object"
+                },
+                "restriction_time": {
+                  "description": "Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm.",
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              }
+            }
+          }
+        },
+        "cluster_heat_buses": {
+          "default": true,
+          "description": "Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_ to one to save memory.",
+          "markdownDescription": "Cluster residential and service heat buses in [prepare_sector_network.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py) to one to save memory.",
+          "type": "boolean"
+        },
+        "heat_demand_cutout": {
+          "default": "default",
+          "description": "Heat demand cutout.",
+          "type": "string"
+        },
+        "bev_dsm_restriction_value": {
+          "default": 0.8,
+          "description": "Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM.",
+          "markdownDescription": "Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in [build_transport_demand.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py). Set to 0 for no restriction on BEV DSM.",
+          "type": "number"
+        },
+        "bev_dsm_restriction_time": {
+          "default": 7,
+          "description": "Time at which SOC of BEV has to be dsm_restriction_value.",
+          "type": "number"
+        },
+        "transport_heating_deadband_upper": {
+          "default": 20.0,
+          "description": "The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases.",
+          "type": "number"
+        },
+        "transport_heating_deadband_lower": {
+          "default": 15.0,
+          "description": "The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases.",
+          "type": "number"
+        },
+        "ICE_lower_degree_factor": {
+          "default": 0.375,
+          "description": "Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.",
+          "type": "number"
+        },
+        "ICE_upper_degree_factor": {
+          "default": 1.6,
+          "description": "Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.",
+          "type": "number"
+        },
+        "EV_lower_degree_factor": {
+          "default": 0.98,
+          "description": "Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.",
+          "type": "number"
+        },
+        "EV_upper_degree_factor": {
+          "default": 0.63,
+          "description": "Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.",
+          "type": "number"
+        },
+        "bev_dsm": {
+          "default": true,
+          "description": "Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM).",
+          "type": "boolean"
+        },
+        "bev_dsm_availability": {
+          "default": 0.5,
+          "description": "The share for battery electric vehicles (BEV) that are able to do demand side management (DSM).",
+          "type": "number"
+        },
+        "bev_energy": {
+          "default": 0.05,
+          "description": "The average size of battery electric vehicles (BEV) in MWh.",
+          "type": "number"
+        },
+        "bev_charge_efficiency": {
+          "default": 0.9,
+          "description": "Battery electric vehicles (BEV) charge and discharge efficiency.",
+          "type": "number"
+        },
+        "bev_charge_rate": {
+          "default": 0.011,
+          "description": "The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.",
+          "type": "number"
+        },
+        "bev_avail_max": {
+          "default": 0.95,
+          "description": "The maximum share plugged-in availability for passenger electric vehicles.",
+          "type": "number"
+        },
+        "bev_avail_mean": {
+          "default": 0.8,
+          "description": "The average share plugged-in availability for passenger electric vehicles.",
+          "type": "number"
+        },
+        "v2g": {
+          "default": true,
+          "description": "Allows feed-in to grid from EV battery. This is only enabled if BEV demand-side management is enabled, and the share of vehicles participating is V2G is given by `bev_dsm_availability`.",
+          "type": "boolean"
+        },
+        "land_transport_fuel_cell_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of vehicles that uses fuel cells in a given year.",
+          "type": "object"
+        },
+        "land_transport_electric_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of vehicles that uses electric vehicles (EV) in a given year.",
+          "type": "object"
+        },
+        "land_transport_ice_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.",
+          "type": "object"
+        },
+        "transport_electric_efficiency": {
+          "default": 53.19,
+          "description": "The conversion efficiencies of electric vehicles in transport.",
+          "type": "number"
+        },
+        "transport_fuel_cell_efficiency": {
+          "default": 30.003,
+          "description": "The H2 conversion efficiencies of fuel cells in transport.",
+          "type": "number"
+        },
+        "transport_ice_efficiency": {
+          "default": 16.0712,
+          "description": "The oil conversion efficiencies of internal combustion engine (ICE) in transport.",
+          "type": "number"
+        },
+        "agriculture_machinery_electric_share": {
+          "default": 0.5,
+          "description": "The share for agricultural machinery that uses electricity.",
+          "type": "number"
+        },
+        "agriculture_machinery_oil_share": {
+          "default": 0.5,
+          "description": "The share for agricultural machinery that uses oil.",
+          "type": "number"
+        },
+        "agriculture_machinery_fuel_efficiency": {
+          "default": 0.7,
+          "description": "The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.",
+          "type": "number"
+        },
+        "agriculture_machinery_electric_efficiency": {
+          "default": 0.3,
+          "description": "The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_MWh_H2": {
+          "default": 0.8787,
+          "description": "The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.",
+          "markdownDescription": "The energy amount of the produced methanol per energy amount of hydrogen. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 64.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_tCO2": {
+          "default": 4.0321,
+          "description": "The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 66.",
+          "markdownDescription": "The energy amount of the produced methanol per ton of CO2. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 66.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_MWh_e": {
+          "default": 3.6907,
+          "description": "The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.",
+          "markdownDescription": "The energy amount of the produced methanol per energy amount of electricity. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 64.",
+          "type": "number"
+        },
+        "shipping_hydrogen_liquefaction": {
+          "default": false,
+          "description": "Whether to include liquefaction costs for hydrogen demand in shipping.",
+          "type": "boolean"
+        },
+        "shipping_hydrogen_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of ships powered by hydrogen in a given year.",
+          "type": "object"
+        },
+        "shipping_methanol_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of ships powered by methanol in a given year.",
+          "type": "object"
+        },
+        "shipping_oil_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of ships powered by oil in a given year.",
+          "type": "object"
+        },
+        "shipping_methanol_efficiency": {
+          "default": 0.46,
+          "description": "The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_.",
+          "markdownDescription": "The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the [IEA ](https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf).",
+          "type": "number"
+        },
+        "shipping_oil_efficiency": {
+          "default": 0.4,
+          "description": "The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011.",
+          "type": "number"
+        },
+        "aviation_demand_factor": {
+          "default": 1.0,
+          "description": "The proportion of demand for aviation compared to today's consumption.",
+          "type": "number"
+        },
+        "HVC_demand_factor": {
+          "default": 1.0,
+          "description": "The proportion of demand for high-value chemicals compared to today's consumption.",
+          "type": "number"
+        },
+        "time_dep_hp_cop": {
+          "default": true,
+          "description": "Consider the time dependent coefficient of performance (COP) of the heat pump.",
+          "type": "boolean"
+        },
+        "heat_pump_sink_T_individual_heating": {
+          "default": 55.0,
+          "description": "The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings.",
+          "type": "number"
+        },
+        "reduce_space_heat_exogenously": {
+          "default": true,
+          "description": "Influence on space heating demand by a certain factor (applied before losses in district heating).",
+          "type": "boolean"
+        },
+        "reduce_space_heat_exogenously_factor": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_.",
+          "markdownDescription": "A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the [Eurocalc Homes and buildings decarbonization scenario ](http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221).",
+          "type": "object"
+        },
+        "retrofitting": {
+          "description": "Configuration for `sector.retrofitting` settings.",
+          "properties": {
+            "retro_endogen": {
+              "default": false,
+              "description": "Add retrofitting as an endogenous system which co-optimise space heat savings.",
+              "type": "boolean"
+            },
+            "cost_factor": {
+              "default": 1.0,
+              "description": "Weight costs for building renovation.",
+              "type": "number"
+            },
+            "interest_rate": {
+              "default": 0.04,
+              "description": "The interest rate for investment in building components.",
+              "type": "number"
+            },
+            "annualise_cost": {
+              "default": true,
+              "description": "Annualise the investment costs of retrofitting.",
+              "type": "boolean"
+            },
+            "tax_weighting": {
+              "default": false,
+              "description": "Weight the costs of retrofitting depending on taxes in countries.",
+              "type": "boolean"
+            },
+            "construction_index": {
+              "default": true,
+              "description": "Weight the costs of retrofitting depending on labour/material costs per country.",
+              "type": "boolean"
+            }
+          }
+        },
+        "tes": {
+          "default": true,
+          "description": "Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES).",
+          "type": "boolean"
+        },
+        "boilers": {
+          "default": true,
+          "description": "Add option for transforming gas into heat using gas boilers.",
+          "type": "boolean"
+        },
+        "resistive_heaters": {
+          "default": true,
+          "description": "Add option for transforming electricity into heat using resistive heaters (independently from gas boilers).",
+          "type": "boolean"
+        },
+        "oil_boilers": {
+          "default": false,
+          "description": "Add option for transforming oil into heat using boilers.",
+          "type": "boolean"
+        },
+        "biomass_boiler": {
+          "default": true,
+          "description": "Add option for transforming biomass into heat using boilers.",
+          "type": "boolean"
+        },
+        "overdimension_heat_generators": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Add option for overdimensioning heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1.",
+          "type": "object"
+        },
+        "chp": {
+          "description": "Configuration for `sector.chp` settings.",
+          "properties": {
+            "enable": {
+              "default": true,
+              "description": "Add option for using Combined Heat and Power (CHP).",
+              "type": "boolean"
+            },
+            "fuel": {
+              "description": "Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are \"gas\", \"oil\", \"methanol\", \"lignite\", \"coal\" as well as \"solid biomass\". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "micro_chp": {
+              "default": false,
+              "description": "Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas.",
+              "type": "boolean"
+            }
+          }
+        },
+        "solar_thermal": {
+          "default": true,
+          "description": "Add option for using solar thermal to generate heat.",
+          "type": "boolean"
+        },
+        "solar_cf_correction": {
+          "default": 0.788457,
+          "description": "The correction factor for the value provided by the solar thermal profile calculations.",
+          "type": "number"
+        },
+        "methanation": {
+          "default": true,
+          "description": "Add option for transforming hydrogen and CO2 into methane using methanation.",
+          "type": "boolean"
+        },
+        "coal_cc": {
+          "default": false,
+          "description": "Add option for coal CHPs with carbon capture.",
+          "type": "boolean"
+        },
+        "dac": {
+          "default": true,
+          "description": "Add option for Direct Air Capture (DAC).",
+          "type": "boolean"
+        },
+        "co2_vent": {
+          "default": false,
+          "description": "Add option for vent out CO2 from storages to the atmosphere.",
+          "type": "boolean"
+        },
+        "heat_vent": {
+          "additionalProperties": {
+            "type": "boolean"
+          },
+          "description": "Heat venting by area.",
+          "type": "object"
+        },
+        "marginal_cost_heat_vent": {
+          "default": 0.02,
+          "description": "The marginal cost of heat-venting in all heating systems.",
+          "type": "number"
+        },
+        "allam_cycle_gas": {
+          "default": false,
+          "description": "Add option to include `Allam cycle gas power plants <https://en.wikipedia.org/wiki/Allam_power_cycle>`_.",
+          "markdownDescription": "Add option to include [Allam cycle gas power plants ](https://en.wikipedia.org/wiki/Allam_power_cycle).",
+          "type": "boolean"
+        },
+        "hydrogen_fuel_cell": {
+          "default": true,
+          "description": "Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs.",
+          "type": "boolean"
+        },
+        "hydrogen_turbine": {
+          "default": true,
+          "description": "Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs.",
+          "type": "boolean"
+        },
+        "SMR": {
+          "default": true,
+          "description": "Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR).",
+          "type": "boolean"
+        },
+        "SMR_cc": {
+          "default": true,
+          "description": "Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR) and Carbon Capture (CC).",
+          "type": "boolean"
+        },
+        "regional_oil_demand": {
+          "default": true,
+          "description": "Spatially resolve oil demand. Set to true if regional CO2 constraints needed.",
+          "type": "boolean"
+        },
+        "regional_coal_demand": {
+          "default": false,
+          "description": "Regional coal demand.",
+          "type": "boolean"
+        },
+        "regional_co2_sequestration_potential": {
+          "additionalProperties": true,
+          "description": "Add option for regionally-resolved geological carbon dioxide sequestration potentials based on `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`_.",
+          "markdownDescription": "Add option for regionally-resolved geological carbon dioxide sequestration potentials based on [CO2StoP ](https://setis.ec.europa.eu/european-co2-storage-database_en).",
+          "type": "object"
+        },
+        "co2_sequestration_potential": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The potential of sequestering CO2 in Europe per year and investment period.",
+          "type": "object"
+        },
+        "co2_sequestration_cost": {
+          "default": 30,
+          "description": "The cost of sequestering a ton of CO2 (currency/tCO2).",
+          "type": "number"
+        },
+        "co2_sequestration_lifetime": {
+          "default": 50,
+          "description": "The lifetime of a CO2 sequestration site (years).",
+          "type": "integer"
+        },
+        "co2_spatial": {
+          "default": true,
+          "description": "Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites.",
+          "type": "boolean"
+        },
+        "co2_network": {
+          "default": true,
+          "description": "Add option for planning a new carbon dioxide transmission network.",
+          "type": "boolean"
+        },
+        "co2_network_cost_factor": {
+          "default": 1,
+          "description": "The cost factor for the capital cost of the carbon dioxide transmission network.",
+          "type": "number"
+        },
+        "cc_fraction": {
+          "default": 0.9,
+          "description": "The default fraction of CO2 captured with post-combustion capture.",
+          "type": "number"
+        },
+        "hydrogen_underground_storage": {
+          "default": true,
+          "description": "Add options for storing hydrogen underground. Storage potential depends regionally.",
+          "type": "boolean"
+        },
+        "hydrogen_underground_storage_locations": {
+          "description": "The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "methanol": {
+          "description": "Configuration for `sector.methanol` settings.",
+          "properties": {
+            "regional_methanol_demand": {
+              "default": false,
+              "description": "Spatially resolve methanol demand. Set to true if regional CO2 constraints needed.",
+              "type": "boolean"
+            },
+            "methanol_reforming": {
+              "default": false,
+              "description": "Add methanol reforming.",
+              "type": "boolean"
+            },
+            "methanol_reforming_cc": {
+              "default": false,
+              "description": "Add methanol reforming with carbon capture.",
+              "type": "boolean"
+            },
+            "methanol_to_kerosene": {
+              "default": false,
+              "description": "Add methanol to kerosene.",
+              "type": "boolean"
+            },
+            "methanol_to_power": {
+              "additionalProperties": {
+                "type": "boolean"
+              },
+              "description": "Add different methanol to power technologies.",
+              "type": "object"
+            },
+            "biomass_to_methanol": {
+              "default": true,
+              "description": "Add biomass to methanol.",
+              "type": "boolean"
+            },
+            "biomass_to_methanol_cc": {
+              "default": false,
+              "description": "Add biomass to methanol with carbon capture.",
+              "type": "boolean"
+            }
+          }
+        },
+        "ammonia": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": true,
+          "description": "Add ammonia as a carrier. It can be either true (copperplated NH3), false (no NH3 carrier) or \"regional\" (regionalised NH3 without network)."
+        },
+        "min_part_load_electrolysis": {
+          "default": 0,
+          "description": "The minimum unit dispatch (`p_min_pu`) for electrolysis.",
+          "type": "number"
+        },
+        "min_part_load_fischer_tropsch": {
+          "default": 0.5,
+          "description": "The minimum unit dispatch (`p_min_pu`) for the Fischer-Tropsch process.",
+          "type": "number"
+        },
+        "min_part_load_methanolisation": {
+          "default": 0.3,
+          "description": "The minimum unit dispatch (`p_min_pu`) for the methanolisation process.",
+          "type": "number"
+        },
+        "min_part_load_methanation": {
+          "default": 0.3,
+          "description": "Minimum part load methanation.",
+          "type": "number"
+        },
+        "use_fischer_tropsch_waste_heat": {
+          "default": 0.25,
+          "description": "Add option for using waste heat of Fischer Tropsch in district heating networks.",
+          "type": "number"
+        },
+        "use_haber_bosch_waste_heat": {
+          "default": 0.25,
+          "description": "Use Haber-Bosch waste heat.",
+          "type": "number"
+        },
+        "use_methanolisation_waste_heat": {
+          "default": 0.25,
+          "description": "Use methanolisation waste heat.",
+          "type": "number"
+        },
+        "use_methanation_waste_heat": {
+          "default": 0.25,
+          "description": "Use methanation waste heat.",
+          "type": "number"
+        },
+        "use_fuel_cell_waste_heat": {
+          "default": 1,
+          "description": "Add option for using waste heat of fuel cells in district heating networks.",
+          "type": "number"
+        },
+        "use_electrolysis_waste_heat": {
+          "default": 0.25,
+          "description": "Add option for using waste heat of electrolysis in district heating networks.",
+          "type": "number"
+        },
+        "electricity_transmission_grid": {
+          "default": true,
+          "description": "Switch for enabling/disabling the electricity transmission grid.",
+          "type": "boolean"
+        },
+        "electricity_distribution_grid": {
+          "default": true,
+          "description": "Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.",
+          "type": "boolean"
+        },
+        "electricity_distribution_grid_cost_factor": {
+          "default": 1.0,
+          "description": "Multiplies the investment cost of the electricity distribution grid.",
+          "type": "number"
+        },
+        "electricity_grid_connection": {
+          "default": true,
+          "description": "Add the cost of electricity grid connection for onshore wind and solar.",
+          "type": "boolean"
+        },
+        "transmission_efficiency": {
+          "description": "Configuration for `sector.transmission_efficiency` settings.",
+          "properties": {
+            "enable": {
+              "description": "Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "DC": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "DC transmission efficiency.",
+              "type": "object"
+            },
+            "H2 pipeline": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "H2 pipeline transmission efficiency.",
+              "type": "object"
+            },
+            "gas pipeline": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Gas pipeline transmission efficiency.",
+              "type": "object"
+            },
+            "electricity distribution grid": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Electricity distribution grid efficiency.",
+              "type": "object"
+            }
+          }
+        },
+        "H2_network": {
+          "default": true,
+          "description": "Add option for new hydrogen pipelines.",
+          "type": "boolean"
+        },
+        "gas_network": {
+          "default": true,
+          "description": "Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well.",
+          "markdownDescription": "Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well.",
+          "type": "boolean"
+        },
+        "H2_retrofit": {
+          "default": false,
+          "description": "Add option for retrofiting existing pipelines to transport hydrogen.",
+          "type": "boolean"
+        },
+        "H2_retrofit_capacity_per_CH4": {
+          "default": 0.6,
+          "description": "The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.",
+          "markdownDescription": "The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The [European Hydrogen Backbone (April, 2020) p.15 ](https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf) 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.",
+          "type": "number"
+        },
+        "gas_network_connectivity_upgrade": {
+          "default": 1,
+          "description": "The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network.",
+          "markdownDescription": "The number of desired edge connectivity (k) in the length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) used for the gas network.",
+          "type": "number"
+        },
+        "gas_distribution_grid": {
+          "default": true,
+          "description": "Add a gas distribution grid.",
+          "type": "boolean"
+        },
+        "gas_distribution_grid_cost_factor": {
+          "default": 1.0,
+          "description": "Multiplier for the investment cost of the gas distribution grid.",
+          "type": "number"
+        },
+        "biomass_spatial": {
+          "default": true,
+          "description": "Add option for resolving biomass demand regionally.",
+          "type": "boolean"
+        },
+        "biomass_transport": {
+          "default": false,
+          "description": "Add option for transporting solid biomass between nodes.",
+          "type": "boolean"
+        },
+        "biogas_upgrading": {
+          "default": true,
+          "description": "Biogas upgrading.",
+          "type": "boolean"
+        },
+        "biogas_upgrading_cc": {
+          "default": false,
+          "description": "Add option to capture CO2 from biomass upgrading.",
+          "type": "boolean"
+        },
+        "conventional_generation": {
+          "additionalProperties": {
+            "type": "string"
+          },
+          "description": "Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.",
+          "type": "object"
+        },
+        "biomass_to_liquid": {
+          "default": true,
+          "description": "Add option for transforming solid biomass into liquid fuel with the same properties as oil.",
+          "type": "boolean"
+        },
+        "biomass_to_liquid_cc": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into liquid fuel with the same properties as oil with carbon capture.",
+          "type": "boolean"
+        },
+        "electrobiofuels": {
+          "default": true,
+          "description": "Electrobiofuels.",
+          "type": "boolean"
+        },
+        "biosng": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into synthesis gas with the same properties as natural gas.",
+          "type": "boolean"
+        },
+        "biosng_cc": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into synthesis gas with the same properties as natural gas with carbon capture.",
+          "type": "boolean"
+        },
+        "bioH2": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into hydrogen with carbon capture.",
+          "type": "boolean"
+        },
+        "municipal_solid_waste": {
+          "default": false,
+          "description": "Add option for municipal solid waste.",
+          "type": "boolean"
+        },
+        "limit_max_growth": {
+          "description": "Configuration for `sector.limit_max_growth` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to limit the maximum growth of a carrier.",
+              "type": "boolean"
+            },
+            "factor": {
+              "default": 1.3,
+              "description": "The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth).",
+              "type": "number"
+            },
+            "max_growth": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "The historic maximum growth of a carrier.",
+              "type": "object"
+            },
+            "max_relative_growth": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "The historic maximum relative growth of a carrier.",
+              "type": "object"
+            }
+          }
+        },
+        "enhanced_geothermal": {
+          "description": "Configuration for `sector.enhanced_geothermal` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to include Enhanced Geothermal Systems.",
+              "type": "boolean"
+            },
+            "flexible": {
+              "default": true,
+              "description": "Add option for flexible operation (see Ricks et al. 2024).",
+              "type": "boolean"
+            },
+            "max_hours": {
+              "default": 240,
+              "description": "The maximum hours the reservoir can be charged under flexible operation.",
+              "type": "integer"
+            },
+            "max_boost": {
+              "default": 0.25,
+              "description": "The maximum boost in power output under flexible operation.",
+              "type": "number"
+            },
+            "var_cf": {
+              "default": true,
+              "description": "Add option for variable capacity factor (see Ricks et al. 2024).",
+              "type": "boolean"
+            },
+            "sustainability_factor": {
+              "default": 0.0025,
+              "description": "Share of sourced heat that is replenished by the earth's core (see details in `build_egs_potentials.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py>`_).",
+              "markdownDescription": "Share of sourced heat that is replenished by the earth's core (see details in [build_egs_potentials.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py)).",
+              "type": "number"
+            }
+          }
+        },
+        "solid_biomass_import": {
+          "description": "Configuration for `sector.solid_biomass_import` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to include solid biomass imports.",
+              "type": "boolean"
+            },
+            "price": {
+              "default": 54,
+              "description": "Price for importing solid biomass (currency/MWh).",
+              "type": "number"
+            },
+            "max_amount": {
+              "default": 1390,
+              "description": "Maximum solid biomass import potential (TWh).",
+              "type": "number"
+            },
+            "upstream_emissions_factor": {
+              "default": 0.1,
+              "description": "Upstream emissions of solid biomass imports.",
+              "type": "number"
+            }
+          }
+        },
+        "imports": {
+          "description": "Configuration for `sector.imports` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to include renewable energy imports.",
+              "type": "boolean"
+            },
+            "limit": {
+              "default": null,
+              "description": "Maximum allowed renewable energy imports (TWh).",
+              "type": "number"
+            },
+            "limit_sense": {
+              "default": "<=",
+              "description": "Sense of the limit.",
+              "type": "string"
+            },
+            "price": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Price for importing renewable energy of carrier.",
+              "type": "object"
+            }
+          }
+        }
+      }
+    },
+    "SnapshotsConfig": {
+      "description": "Configuration for `snapshots` settings.",
+      "properties": {
+        "start": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "2013-01-01",
+          "description": "Left bound of date range."
+        },
+        "end": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "2014-01-01",
+          "description": "Right bound of date range."
+        },
+        "inclusive": {
+          "anyOf": [
+            {
+              "enum": [
+                "left",
+                "right",
+                "both"
+              ],
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": "left",
+          "description": "Make the time interval closed to the `left`, `right`, or both sides `both` or neither side `None`."
+        }
+      }
+    },
+    "SolarThermalConfig": {
+      "description": "Configuration for `solar_thermal` settings.",
+      "properties": {
+        "clearsky_model": {
+          "default": "simple",
+          "description": "Type of clearsky model for diffuse irradiation.",
+          "enum": [
+            "simple",
+            "enhanced"
+          ],
+          "type": "string"
+        },
+        "orientation": {
+          "description": "Configuration for `solar_thermal.orientation` settings.",
+          "properties": {
+            "slope": {
+              "default": 45.0,
+              "description": "The angle between the ground and the panels.",
+              "type": "number"
+            },
+            "azimuth": {
+              "default": 180.0,
+              "description": "The angle between the North and the sun with panels on the local horizon.",
+              "type": "number"
+            }
+          }
+        },
+        "cutout": {
+          "default": "default",
+          "description": "Name of the cutout to use for solar thermal calculations.",
+          "type": "string"
+        }
+      }
+    },
+    "SolvingConfig": {
+      "description": "Configuration for `solving` settings.",
+      "properties": {
+        "options": {
+          "description": "Configuration for `solving.options` settings.",
+          "properties": {
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "load_shedding": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "number"
+                }
+              ],
+              "default": false,
+              "description": "Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh."
+            },
+            "curtailment_mode": {
+              "default": false,
+              "description": "Fixes the dispatch profiles of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to `false`.",
+              "type": "boolean"
+            },
+            "noisy_costs": {
+              "default": true,
+              "description": "Add random noise to marginal cost of generators by :math:`\\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\\mathcal{U}(0.09,0,11)`.",
+              "type": "boolean"
+            },
+            "skip_iterations": {
+              "default": true,
+              "description": "Skip iterating, do not update impedances of branches. Defaults to true.",
+              "type": "boolean"
+            },
+            "rolling_horizon": {
+              "default": false,
+              "description": "Switch for rule `solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks.",
+              "type": "boolean"
+            },
+            "seed": {
+              "default": 123,
+              "description": "Random seed for increased deterministic behaviour.",
+              "type": "integer"
+            },
+            "custom_extra_functionality": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": "../data/custom_extra_functionality.py",
+              "description": "Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to `rules` directory."
+            },
+            "io_api": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Passed to linopy and determines the API used to communicate with the solver. With the `'lp'` and `'mps'` options linopy passes a file to the solver; with the `'direct'` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance."
+            },
+            "track_iterations": {
+              "default": false,
+              "description": "Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in `network.lines['s_nom_opt_X']` (where `X` labels the iteration)",
+              "type": "boolean"
+            },
+            "min_iterations": {
+              "default": 2,
+              "description": "Minimum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+              "type": "integer"
+            },
+            "max_iterations": {
+              "default": 3,
+              "description": "Maximum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+              "type": "integer"
+            },
+            "transmission_losses": {
+              "default": 2,
+              "description": "Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored.",
+              "type": "integer"
+            },
+            "linearized_unit_commitment": {
+              "default": true,
+              "description": "Whether to optimise using the linearized unit commitment formulation.",
+              "type": "boolean"
+            },
+            "horizon": {
+              "default": 365,
+              "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
+              "type": "integer"
+            },
+            "post_discretization": {
+              "description": "Configuration for `solving.options.post_discretization` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Switch to enable post-discretization of the network. Disabled by default.",
+                  "type": "boolean"
+                },
+                "line_unit_size": {
+                  "default": 1700,
+                  "description": "Discrete unit size of lines in MW.",
+                  "type": "number"
+                },
+                "line_threshold": {
+                  "default": 0.3,
+                  "description": "The threshold relative to the discrete line unit size beyond which to round up to the next unit.",
+                  "type": "number"
+                },
+                "link_unit_size": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Discrete unit size of links in MW by carrier (given in dictionary style).",
+                  "type": "object"
+                },
+                "link_threshold": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style).",
+                  "type": "object"
+                },
+                "fractional_last_unit_size": {
+                  "default": false,
+                  "description": "When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size.",
+                  "type": "boolean"
+                }
+              }
+            },
+            "keep_files": {
+              "default": false,
+              "description": "Whether to keep LPs and MPS files after solving.",
+              "type": "boolean"
+            },
+            "model_kwargs": {
+              "description": "Configuration for `solving.options.model_kwargs` settings.",
+              "properties": {
+                "solver_dir": {
+                  "default": "",
+                  "description": "Absolute path to the directory where linopy saves files.",
+                  "type": "string"
+                }
+              }
+            }
+          }
+        },
+        "agg_p_nom_limits": {
+          "description": "Configuration for `solving.agg_p_nom_limits` settings.",
+          "properties": {
+            "agg_offwind": {
+              "default": false,
+              "description": "Aggregate together all the types of offwind when writing the constraint (`offwind-all` as a carrier in the `.csv` file). Default is false.",
+              "type": "boolean"
+            },
+            "agg_solar": {
+              "default": false,
+              "description": "Aggregate together all the types of electric solar when writing the constraint (`solar-all` as a carrier in the `.csv` file). Default is false.",
+              "type": "boolean"
+            },
+            "include_existing": {
+              "default": false,
+              "description": "Take existing capacities into account when writing the constraint. Default is false.",
+              "type": "boolean"
+            },
+            "file": {
+              "default": "data/agg_p_nom_minmax.csv",
+              "description": "Reference to `.csv` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to `data/agg_p_nom_minmax.csv`.",
+              "type": "string"
+            }
+          }
+        },
+        "constraints": {
+          "description": "Configuration for `solving.constraints` settings.",
+          "properties": {
+            "CCL": {
+              "default": false,
+              "description": "Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at `electricity: agg_p_nom_limits` in the configuration. File defaults to `data/agg_p_nom_minmax.csv`. Does not work with a time resolution resampling.",
+              "type": "boolean"
+            },
+            "EQ": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Require each country or node to on average produce a minimal share of its total consumption itself. Example: `EQ0.5c` demands each country to produce on average at least 50% of its consumption; `EQ0.5` demands each node to produce on average at least 50% of its consumption."
+            },
+            "BAU": {
+              "default": false,
+              "description": "Add a per-`carrier` minimal overall capacity; i.e. at least `40GW` of `OCGT` in Europe; configured in `electricity: BAU_mincapacities`",
+              "type": "boolean"
+            },
+            "SAFE": {
+              "default": false,
+              "description": "Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network.",
+              "type": "boolean"
+            }
+          }
+        },
+        "solver": {
+          "description": "Configuration for `solving.solver` settings.",
+          "properties": {
+            "name": {
+              "default": "gurobi",
+              "description": "Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow.",
+              "type": "string"
+            },
+            "options": {
+              "default": "gurobi-default",
+              "description": "Link to specific parameter settings.",
+              "type": "string"
+            }
+          }
+        },
+        "solver_options": {
+          "additionalProperties": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "description": "Dictionaries with solver-specific parameter settings.",
+          "type": "object"
+        },
+        "check_objective": {
+          "description": "Configuration for `solving.check_objective` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Enable objective value checking.",
+              "type": "boolean"
+            },
+            "expected_value": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Expected objective value."
+            },
+            "atol": {
+              "default": 1000000,
+              "description": "Absolute tolerance.",
+              "type": "number"
+            },
+            "rtol": {
+              "default": 0.01,
+              "description": "Relative tolerance.",
+              "type": "number"
+            }
+          }
+        },
+        "oetc": {
+          "anyOf": [
+            {
+              "description": "Configuration for `solving.oetc` settings (Open Energy Transition Computing cluster support).",
+              "properties": {
+                "name": {
+                  "default": "pypsa-eur",
+                  "description": "Name identifier for the OETC job.",
+                  "type": "string"
+                },
+                "authentication_server_url": {
+                  "default": "",
+                  "description": "URL of the OETC authentication server for job submission.",
+                  "type": "string"
+                },
+                "orchestrator_server_url": {
+                  "default": "",
+                  "description": "URL of the OETC orchestrator server for job management.",
+                  "type": "string"
+                },
+                "cpu_cores": {
+                  "default": 8,
+                  "description": "Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8)",
+                  "type": "integer"
+                },
+                "disk_space_gb": {
+                  "default": 50,
+                  "description": "Amount of disk space in gigabytes to request for the OETC job.",
+                  "type": "integer"
+                },
+                "delete_worker_on_error": {
+                  "default": true,
+                  "description": "Whether to delete the worker instance when an error occurs during job execution.",
+                  "type": "boolean"
+                }
+              }
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Configuration options for Open Energy Transition Computing (OETC) cluster support."
+        },
+        "mem_mb": {
+          "default": 128000,
+          "description": "Estimated maximum memory requirement for solving networks (MB).",
+          "type": "integer"
+        },
+        "memory_logging_frequency": {
+          "default": 5,
+          "description": "Interval in seconds at which memory usage is logged.",
+          "type": "integer"
+        },
+        "runtime": {
+          "default": "48h",
+          "description": "Runtime in humanfriendly style.",
+          "type": "string"
+        }
+      }
+    },
+    "TransformersConfig": {
+      "description": "Configuration for `transformers` settings.",
+      "properties": {
+        "x": {
+          "default": 0.1,
+          "description": "Series reactance in per unit (p.u.), using `s_nom` as base power of the transformer. Overwritten if `type` is specified.",
+          "type": "number"
+        },
+        "s_nom": {
+          "default": 2000.0,
+          "description": "Limit of apparent power which can pass through branch (MVA). Overwritten if `type` is specified.",
+          "type": "number"
+        },
+        "type": {
+          "default": "",
+          "description": "Specifies transformer types to assume for the transformers of the ENTSO-E grid extraction.",
+          "type": "string"
+        }
+      }
+    },
+    "TransmissionProjectsConfig": {
+      "description": "Configuration for `transmission_projects` settings.",
+      "properties": {
+        "enable": {
+          "default": true,
+          "description": "Whether to integrate this transmission projects or not.",
+          "type": "boolean"
+        },
+        "include": {
+          "description": "Configuration for `transmission_projects.include` settings.",
+          "properties": {
+            "tyndp2020": {
+              "default": true,
+              "description": "Whether to integrate the TYNDP 2020 dataset.",
+              "type": "boolean"
+            },
+            "nep": {
+              "default": true,
+              "description": "Whether to integrate the German network development plan dataset.",
+              "type": "boolean"
+            },
+            "manual": {
+              "default": true,
+              "description": "Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file.",
+              "type": "boolean"
+            }
+          }
+        },
+        "skip": {
+          "description": "Type of lines to skip from all transmission projects. Possible values are: `upgraded_lines`, `upgraded_links`, `new_lines`, `new_links`.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "status": {
+          "anyOf": [
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            {
+              "additionalProperties": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "type": "object"
+            }
+          ],
+          "description": "Status to include into the model as list or as dict with name of project and status to include. Possible values for status are `under_construction`, `in_permitting`, `confirmed`, `planned_not_yet_permitted`, `under_consideration`."
+        },
+        "new_link_capacity": {
+          "default": "zero",
+          "description": "Whether to set the new link capacity to the provided capacity or set it to zero.",
+          "enum": [
+            "zero",
+            "keep"
+          ],
+          "type": "string"
+        }
+      }
+    },
+    "_AdjustmentConfig": {
+      "description": "Configuration for adjustment settings (factor/absolute)",
+      "properties": {
+        "factor": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "additionalProperties": {
+                  "additionalProperties": {
+                    "anyOf": [
+                      {
+                        "type": "number"
+                      },
+                      {
+                        "additionalProperties": {
+                          "type": "number"
+                        },
+                        "type": "object"
+                      }
+                    ]
+                  },
+                  "type": "object"
+                },
+                "type": "object"
+              },
+              "type": "object"
+            }
+          ],
+          "default": false,
+          "description": "Multiply original value with given factor"
+        },
+        "absolute": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "additionalProperties": {
+                  "additionalProperties": {
+                    "anyOf": [
+                      {
+                        "type": "number"
+                      },
+                      {
+                        "additionalProperties": {
+                          "type": "number"
+                        },
+                        "type": "object"
+                      }
+                    ]
+                  },
+                  "type": "object"
+                },
+                "type": "object"
+              },
+              "type": "object"
+            }
+          ],
+          "default": false,
+          "description": "Set attribute to absolute value. Can be also a dictionary with planning horizons as keys."
+        }
+      }
+    },
+    "_AdministrativeConfig": {
+      "description": "Configuration for `clustering.administrative` settings.",
+      "properties": {
+        "level": {
+          "default": 1,
+          "description": "Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level, 'bz': Bidding zones. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1.",
+          "enum": [
+            0,
+            1,
+            2,
+            3,
+            "bz"
+          ]
+        },
+        "countries": {
+          "additionalProperties": {
+            "type": "integer"
+          },
+          "description": "Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`.",
+          "type": "object"
+        }
+      }
+    },
+    "_AggPNomLimitsConfig": {
+      "description": "Configuration for `solving.agg_p_nom_limits` settings.",
+      "properties": {
+        "agg_offwind": {
+          "default": false,
+          "description": "Aggregate together all the types of offwind when writing the constraint (`offwind-all` as a carrier in the `.csv` file). Default is false.",
+          "type": "boolean"
+        },
+        "agg_solar": {
+          "default": false,
+          "description": "Aggregate together all the types of electric solar when writing the constraint (`solar-all` as a carrier in the `.csv` file). Default is false.",
+          "type": "boolean"
+        },
+        "include_existing": {
+          "default": false,
+          "description": "Take existing capacities into account when writing the constraint. Default is false.",
+          "type": "boolean"
+        },
+        "file": {
+          "default": "data/agg_p_nom_minmax.csv",
+          "description": "Reference to `.csv` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to `data/agg_p_nom_minmax.csv`.",
+          "type": "string"
+        }
+      }
+    },
+    "_AggregationStrategiesConfig": {
+      "description": "Configuration for `clustering.aggregation_strategies` settings.",
+      "properties": {
+        "generators": {
+          "additionalProperties": {
+            "type": "string"
+          },
+          "description": "Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator.",
+          "type": "object"
+        },
+        "buses": {
+          "additionalProperties": {
+            "type": "string"
+          },
+          "description": "Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus.",
+          "type": "object"
+        }
+      }
+    },
+    "_AutarkyConfig": {
+      "description": "Configuration for `electricity.autarky` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Require each node to be autarkic by removing all lines and links.",
+          "type": "boolean"
+        },
+        "by_country": {
+          "default": false,
+          "description": "Require each country to be autarkic by removing all cross-border lines and links. `electricity: autarky` must be enabled.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_BiomassClassesConfig": {
+      "description": "Configuration for `biomass.classes` settings.",
+      "properties": {
+        "solid biomass": {
+          "description": "The comodity that are included as solid biomass.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "not included": {
+          "description": "The comodity that are not included as a biomass potential.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "biogas": {
+          "description": "The comodity that are included as biogas.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "municipal solid waste": {
+          "description": "The commodities that are included as municipal solid waste.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "_BuildBiddingZonesConfig": {
+      "description": "Configuration for `clustering.build_bidding_zones` settings.",
+      "properties": {
+        "remove_islands": {
+          "default": false,
+          "description": "Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira.",
+          "type": "boolean"
+        },
+        "aggregate_to_tyndp": {
+          "default": false,
+          "description": "Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_CHPConfig": {
+      "description": "Configuration for `sector.chp` settings.",
+      "properties": {
+        "enable": {
+          "default": true,
+          "description": "Add option for using Combined Heat and Power (CHP).",
+          "type": "boolean"
+        },
+        "fuel": {
+          "description": "Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are \"gas\", \"oil\", \"methanol\", \"lignite\", \"coal\" as well as \"solid biomass\". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "micro_chp": {
+          "default": false,
+          "description": "Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_CheckObjectiveConfig": {
+      "description": "Configuration for `solving.check_objective` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Enable objective value checking.",
+          "type": "boolean"
+        },
+        "expected_value": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Expected objective value."
+        },
+        "atol": {
+          "default": 1000000,
+          "description": "Absolute tolerance.",
+          "type": "number"
+        },
+        "rtol": {
+          "default": 0.01,
+          "description": "Relative tolerance.",
+          "type": "number"
+        }
+      }
+    },
+    "_ChunksConfig": {
+      "description": "Configuration for `atlite.cutouts.{name}.chunks` settings.",
+      "properties": {
+        "time": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Chunk size for time dimension when preparing cutout."
+        }
+      }
+    },
+    "_ClusterNetworkConfig": {
+      "description": "Configuration for `clustering.cluster_network` settings.",
+      "properties": {
+        "algorithm": {
+          "default": "kmeans",
+          "description": "Clustering algorithm to use.",
+          "enum": [
+            "kmeans",
+            "hac"
+          ],
+          "type": "string"
+        },
+        "hac_features": {
+          "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "_ConstraintsConfig": {
+      "description": "Configuration for `solving.constraints` settings.",
+      "properties": {
+        "CCL": {
+          "default": false,
+          "description": "Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at `electricity: agg_p_nom_limits` in the configuration. File defaults to `data/agg_p_nom_minmax.csv`. Does not work with a time resolution resampling.",
+          "type": "boolean"
+        },
+        "EQ": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": false,
+          "description": "Require each country or node to on average produce a minimal share of its total consumption itself. Example: `EQ0.5c` demands each country to produce on average at least 50% of its consumption; `EQ0.5` demands each node to produce on average at least 50% of its consumption."
+        },
+        "BAU": {
+          "default": false,
+          "description": "Add a per-`carrier` minimal overall capacity; i.e. at least `40GW` of `OCGT` in Europe; configured in `electricity: BAU_mincapacities`",
+          "type": "boolean"
+        },
+        "SAFE": {
+          "default": false,
+          "description": "Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_CorineConfig": {
+      "description": "Configuration for CORINE land cover settings.",
+      "properties": {
+        "grid_codes": {
+          "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "distance": {
+          "default": 1000,
+          "description": "Distance in meters to keep from areas specified in `distance_grid_codes`.",
+          "type": "number"
+        },
+        "distance_grid_codes": {
+          "description": "Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        }
+      },
+      "required": [
+        "grid_codes"
+      ]
+    },
+    "_CutoutConfig": {
+      "description": "Configuration for a single cutout in `atlite.cutouts`.",
+      "properties": {
+        "module": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Source of the reanalysis weather dataset (e.g. `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_ or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`_).",
+          "markdownDescription": "Source of the reanalysis weather dataset (e.g. [ERA5 ](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) or [SARAH-3 ](https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002))."
+        },
+        "x": {
+          "anyOf": [
+            {
+              "items": {
+                "type": "number"
+              },
+              "type": "array"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Range of longitudes [\u00b0] to download weather data for. Float interval within [-180, 180]. If not defined, it defaults to the spatial bounds of all bus shapes."
+        },
+        "y": {
+          "anyOf": [
+            {
+              "items": {
+                "type": "number"
+              },
+              "type": "array"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Range of latitudes [\u00b0] to download weather data for. Float interval within [-90, 90]. If not defined, it defaults to the spatial bounds of all bus shapes."
+        },
+        "dx": {
+          "anyOf": [
+            {
+              "exclusiveMinimum": 0.25,
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Grid resolution [\u00b0] for longitude. Must be larger than 0.25\u00b0."
+        },
+        "dy": {
+          "anyOf": [
+            {
+              "exclusiveMinimum": 0.25,
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Grid resolution [\u00b0] for latitude. Must be larger than 0.25\u00b0."
+        },
+        "time": {
+          "anyOf": [
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots."
+        },
+        "chunks": {
+          "anyOf": [
+            {
+              "description": "Configuration for `atlite.cutouts.{name}.chunks` settings.",
+              "properties": {
+                "time": {
+                  "anyOf": [
+                    {
+                      "type": "integer"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Chunk size for time dimension when preparing cutout."
+                }
+              }
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Chunking configuration for cutout preparation."
+        },
+        "prepare_kwargs": {
+          "anyOf": [
+            {
+              "description": "Configuration for `atlite.cutouts.{name}.prepare_kwargs` settings.",
+              "properties": {
+                "features": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "items": {
+                        "type": "string"
+                      },
+                      "type": "array"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features."
+                },
+                "sarah_dir": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the `atlite documentation <https://atlite.readthedocs.io>`_ for details. Required for building cutouts with SARAH, not required for ERA5 cutouts.",
+                  "markdownDescription": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the [atlite documentation ](https://atlite.readthedocs.io) for details. Required for building cutouts with SARAH, not required for ERA5 cutouts."
+                },
+                "monthly_requests": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Whether to use monthly requests for ERA5 data when building the cutout. Helpful to avoid running into request limits with large cutouts."
+                },
+                "tmpdir": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Path to a temporary directory where intermediate files are stored when building the cutout. Helpful when building large cutouts."
+                }
+              }
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Dictionary of keyword arguments passed to ``atlite.Cutout.prepare()`` when building the cutout."
+        }
+      }
+    },
+    "_DataSourceConfig": {
+      "description": "Configuration for a single data source.",
+      "properties": {
+        "source": {
+          "default": "archive",
+          "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+          "enum": [
+            "archive",
+            "primary",
+            "build"
+          ],
+          "type": "string"
+        },
+        "version": {
+          "default": "latest",
+          "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+          "type": "string"
+        }
+      }
+    },
+    "_DistributionKeyConfig": {
+      "description": "Configuration for `load.distribution_key` settings.",
+      "properties": {
+        "gdp": {
+          "default": 0.6,
+          "description": "Weighting factor for the GDP data in the distribution key.",
+          "type": "number"
+        },
+        "population": {
+          "default": 0.4,
+          "description": "Weighting factor for the population data in the distribution key.",
+          "type": "number"
+        }
+      }
+    },
+    "_DistrictHeatingConfig": {
+      "description": "Configuration for `sector.district_heating` settings.",
+      "properties": {
+        "potential": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "type": "object"
+            }
+          ],
+          "default": 0.6,
+          "description": "Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries."
+        },
+        "progress": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating.",
+          "type": "object"
+        },
+        "district_heating_loss": {
+          "default": 0.15,
+          "description": "Share increase in district heat demand in urban central due to heat losses.",
+          "type": "number"
+        },
+        "supply_temperature_approximation": {
+          "additionalProperties": true,
+          "description": "Supply temperature approximation settings.",
+          "type": "object"
+        },
+        "ptes": {
+          "additionalProperties": true,
+          "description": "Pit thermal energy storage settings.",
+          "type": "object"
+        },
+        "ates": {
+          "additionalProperties": true,
+          "description": "Aquifer thermal energy storage settings.",
+          "type": "object"
+        },
+        "heat_source_cooling": {
+          "default": 6,
+          "description": "Cooling of heat source for heat pumps.",
+          "type": "number"
+        },
+        "heat_pump_cop_approximation": {
+          "additionalProperties": true,
+          "description": "Heat pump COP approximation settings.",
+          "type": "object"
+        },
+        "limited_heat_sources": {
+          "additionalProperties": true,
+          "description": "Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in `Manz et al. 2024 <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`_.",
+          "markdownDescription": "Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in [Manz et al. 2024 ](https://www.sciencedirect.com/science/article/pii/S0960148124001769).",
+          "type": "object"
+        },
+        "direct_utilisation_heat_sources": {
+          "description": "List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. `geothermal`).",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "temperature_limited_stores": {
+          "description": "List of names for stores used as limited heat sources.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "dh_areas": {
+          "additionalProperties": true,
+          "description": "District heating areas settings.",
+          "type": "object"
+        }
+      }
+    },
+    "_DynamicLineRatingConfig": {
+      "description": "Configuration for `lines.dynamic_line_rating` settings.",
+      "properties": {
+        "activate": {
+          "default": false,
+          "description": "Whether to take dynamic line rating into account.",
+          "type": "boolean"
+        },
+        "cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "default",
+          "description": "Specifies the weather data cutout file(s) to use."
+        },
+        "correction_factor": {
+          "default": 0.95,
+          "description": "Factor to compensate for overestimation of wind speeds in hourly averaged wind data.",
+          "type": "number"
+        },
+        "max_voltage_difference": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "const": false,
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Maximum voltage angle difference in degrees or 'false' to disable."
+        },
+        "max_line_rating": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "const": false,
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable."
+        }
+      }
+    },
+    "_EmissionPricesConfig": {
+      "description": "Configuration for `costs.emission_prices` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Add cost for a carbon-dioxide price configured in `costs: emission_prices: co2` to `marginal_cost` of generators. Config setting can also be enabled with the keyword `Ep` in the `{opts}` wildcard for electricity-only runs.",
+          "type": "boolean"
+        },
+        "co2": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "type": "object"
+            }
+          ],
+          "default": 0.0,
+          "description": "Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere."
+        },
+        "co2_monthly_prices": {
+          "default": false,
+          "description": "Add monthly cost for a carbon-dioxide price based on historical values built by the rule `build_monthly_prices`.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_EnhancedGeothermalConfig": {
+      "description": "Configuration for `sector.enhanced_geothermal` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Add option to include Enhanced Geothermal Systems.",
+          "type": "boolean"
+        },
+        "flexible": {
+          "default": true,
+          "description": "Add option for flexible operation (see Ricks et al. 2024).",
+          "type": "boolean"
+        },
+        "max_hours": {
+          "default": 240,
+          "description": "The maximum hours the reservoir can be charged under flexible operation.",
+          "type": "integer"
+        },
+        "max_boost": {
+          "default": 0.25,
+          "description": "The maximum boost in power output under flexible operation.",
+          "type": "number"
+        },
+        "var_cf": {
+          "default": true,
+          "description": "Add option for variable capacity factor (see Ricks et al. 2024).",
+          "type": "boolean"
+        },
+        "sustainability_factor": {
+          "default": 0.0025,
+          "description": "Share of sourced heat that is replenished by the earth's core (see details in `build_egs_potentials.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py>`_).",
+          "markdownDescription": "Share of sourced heat that is replenished by the earth's core (see details in [build_egs_potentials.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py)).",
+          "type": "number"
+        }
+      }
+    },
+    "_EstimateRenewableCapacitiesConfig": {
+      "description": "Configuration for `electricity.estimate_renewable_capacities` settings.",
+      "properties": {
+        "enable": {
+          "default": true,
+          "description": "Activate routine to estimate renewable capacities in rule `add_electricity`. This option should not be used in combination with pathway planning `foresight: myopic` or `foresight: perfect` as renewable capacities are added differently in `add_existing_baseyear`.",
+          "type": "boolean"
+        },
+        "from_gem": {
+          "default": true,
+          "description": "Add renewable capacities from `Global Energy Monitor's Global Solar Power Tracker <https://globalenergymonitor.org/projects/global-solar-power-tracker/>`_ and `Global Energy Monitor's Global Wind Power Tracker <https://globalenergymonitor.org/projects/global-wind-power-tracker/>`_.",
+          "markdownDescription": "Add renewable capacities from [Global Energy Monitor's Global Solar Power Tracker ](https://globalenergymonitor.org/projects/global-solar-power-tracker/) and [Global Energy Monitor's Global Wind Power Tracker ](https://globalenergymonitor.org/projects/global-wind-power-tracker/).",
+          "type": "boolean"
+        },
+        "year": {
+          "default": 2020,
+          "description": "Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year.",
+          "type": "integer"
+        },
+        "expansion_limit": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Artificially limit maximum IRENA capacities to a factor. For example, an `expansion_limit: 1.1` means 110% of capacities. If false are chosen, the estimated renewable potentials determine by the workflow are used."
+        },
+        "technology_mapping": {
+          "description": "Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings.",
+          "properties": {
+            "Offshore": {
+              "default": "offwind-ac",
+              "description": "PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM).",
+              "type": "string"
+            },
+            "Onshore": {
+              "default": "onwind",
+              "description": "PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM).",
+              "type": "string"
+            },
+            "PV": {
+              "default": "solar",
+              "description": "PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM).",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "_ExtendableCarriersConfig": {
+      "description": "Configuration for `electricity.extendable_carriers` settings.",
+      "properties": {
+        "Generator": {
+          "description": "Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the `conventional_carriers` list, the lower limit of the capacity expansion is set to 0.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "StorageUnit": {
+          "description": "Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Store": {
+          "description": "Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Link": {
+          "description": "Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as `Store`.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "_FillGapsConfig": {
+      "description": "Configuration for `load.fill_gaps` settings.",
+      "properties": {
+        "enable": {
+          "default": true,
+          "description": "Whether to fill gaps using interpolation for small gaps and time shift for large gaps.",
+          "type": "boolean"
+        },
+        "interpolate_limit": {
+          "default": 3,
+          "description": "Maximum gap size (consecutive nans) which interpolated linearly.",
+          "type": "integer"
+        },
+        "time_shift_for_large_gaps": {
+          "default": "1w",
+          "description": "Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid `pandas` period strings.",
+          "type": "string"
+        }
+      }
+    },
+    "_FillValuesConfig": {
+      "description": "Configuration for `costs.fill_values` settings.",
+      "properties": {
+        "FOM": {
+          "default": 0,
+          "description": "Default fixed operation and maintenance cost.",
+          "type": "number"
+        },
+        "VOM": {
+          "default": 0,
+          "description": "Default variable operation and maintenance cost.",
+          "type": "number"
+        },
+        "efficiency": {
+          "default": 1,
+          "description": "Default efficiency.",
+          "type": "number"
+        },
+        "fuel": {
+          "default": 0,
+          "description": "Default fuel cost.",
+          "type": "number"
+        },
+        "investment": {
+          "default": 0,
+          "description": "Default investment cost.",
+          "type": "number"
+        },
+        "lifetime": {
+          "default": 25,
+          "description": "Default lifetime in years.",
+          "type": "integer"
+        },
+        "CO2 intensity": {
+          "default": 0,
+          "description": "Default CO2 intensity.",
+          "type": "number"
+        },
+        "discount rate": {
+          "default": 0.07,
+          "description": "Default discount rate.",
+          "type": "number"
+        },
+        "standing losses": {
+          "default": 0,
+          "description": "Default standing losses.",
+          "type": "number"
+        }
+      }
+    },
+    "_HydroConfig": {
+      "description": "Configuration for hydropower.",
+      "properties": {
+        "cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "default",
+          "description": "Specifies the weather data cutout file(s) to use."
+        },
+        "carriers": {
+          "description": "Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "PHS_max_hours": {
+          "default": 6,
+          "description": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+          "markdownDescription": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+          "type": "number"
+        },
+        "hydro_max_hours": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "number"
+            }
+          ],
+          "default": "energy_capacity_totals_by_country",
+          "description": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+          "markdownDescription": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit)."
+        },
+        "flatten_dispatch": {
+          "default": false,
+          "description": "Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in `flatten_dispatch_buffer`.",
+          "type": "boolean"
+        },
+        "flatten_dispatch_buffer": {
+          "default": 0.2,
+          "description": "If `flatten_dispatch` is true, specify the value added above the average capacity factor.",
+          "type": "number"
+        },
+        "clip_min_inflow": {
+          "default": 1.0,
+          "description": "To avoid too small values in the inflow time series, values below this threshold (MW) are set to zero.",
+          "type": "number"
+        },
+        "eia_norm_year": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "integer"
+            }
+          ],
+          "default": false,
+          "description": "To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year."
+        },
+        "eia_correct_by_capacity": {
+          "default": false,
+          "description": "Correct EIA annual hydro generation data by installed capacity.",
+          "type": "boolean"
+        },
+        "eia_approximate_missing": {
+          "default": false,
+          "description": "Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_ImportsConfig": {
+      "description": "Configuration for `sector.imports` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Add option to include renewable energy imports.",
+          "type": "boolean"
+        },
+        "limit": {
+          "default": null,
+          "description": "Maximum allowed renewable energy imports (TWh).",
+          "type": "number"
+        },
+        "limit_sense": {
+          "default": "<=",
+          "description": "Sense of the limit.",
+          "type": "string"
+        },
+        "price": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Price for importing renewable energy of carrier.",
+          "type": "object"
+        }
+      }
+    },
+    "_IncludeConfig": {
+      "description": "Configuration for `transmission_projects.include` settings.",
+      "properties": {
+        "tyndp2020": {
+          "default": true,
+          "description": "Whether to integrate the TYNDP 2020 dataset.",
+          "type": "boolean"
+        },
+        "nep": {
+          "default": true,
+          "description": "Whether to integrate the German network development plan dataset.",
+          "type": "boolean"
+        },
+        "manual": {
+          "default": true,
+          "description": "Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_LimitMaxGrowthConfig": {
+      "description": "Configuration for `sector.limit_max_growth` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Add option to limit the maximum growth of a carrier.",
+          "type": "boolean"
+        },
+        "factor": {
+          "default": 1.3,
+          "description": "The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth).",
+          "type": "number"
+        },
+        "max_growth": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The historic maximum growth of a carrier.",
+          "type": "object"
+        },
+        "max_relative_growth": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The historic maximum relative growth of a carrier.",
+          "type": "object"
+        }
+      }
+    },
+    "_MaxHoursConfig": {
+      "description": "Configuration for `electricity.max_hours` settings.",
+      "properties": {
+        "battery": {
+          "default": 6,
+          "description": "Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+          "markdownDescription": "Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+          "type": "number"
+        },
+        "H2": {
+          "default": 168,
+          "description": "Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+          "markdownDescription": "Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+          "type": "number"
+        }
+      }
+    },
+    "_MethanolConfig": {
+      "description": "Configuration for `sector.methanol` settings.",
+      "properties": {
+        "regional_methanol_demand": {
+          "default": false,
+          "description": "Spatially resolve methanol demand. Set to true if regional CO2 constraints needed.",
+          "type": "boolean"
+        },
+        "methanol_reforming": {
+          "default": false,
+          "description": "Add methanol reforming.",
+          "type": "boolean"
+        },
+        "methanol_reforming_cc": {
+          "default": false,
+          "description": "Add methanol reforming with carbon capture.",
+          "type": "boolean"
+        },
+        "methanol_to_kerosene": {
+          "default": false,
+          "description": "Add methanol to kerosene.",
+          "type": "boolean"
+        },
+        "methanol_to_power": {
+          "additionalProperties": {
+            "type": "boolean"
+          },
+          "description": "Add different methanol to power technologies.",
+          "type": "object"
+        },
+        "biomass_to_methanol": {
+          "default": true,
+          "description": "Add biomass to methanol.",
+          "type": "boolean"
+        },
+        "biomass_to_methanol_cc": {
+          "default": false,
+          "description": "Add biomass to methanol with carbon capture.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_ModelKwargsConfig": {
+      "description": "Configuration for `solving.options.model_kwargs` settings.",
+      "properties": {
+        "solver_dir": {
+          "default": "",
+          "description": "Absolute path to the directory where linopy saves files.",
+          "type": "string"
+        }
+      }
+    },
+    "_OETCConfig": {
+      "description": "Configuration for `solving.oetc` settings (Open Energy Transition Computing cluster support).",
+      "properties": {
+        "name": {
+          "default": "pypsa-eur",
+          "description": "Name identifier for the OETC job.",
+          "type": "string"
+        },
+        "authentication_server_url": {
+          "default": "",
+          "description": "URL of the OETC authentication server for job submission.",
+          "type": "string"
+        },
+        "orchestrator_server_url": {
+          "default": "",
+          "description": "URL of the OETC orchestrator server for job management.",
+          "type": "string"
+        },
+        "cpu_cores": {
+          "default": 8,
+          "description": "Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8)",
+          "type": "integer"
+        },
+        "disk_space_gb": {
+          "default": 50,
+          "description": "Amount of disk space in gigabytes to request for the OETC job.",
+          "type": "integer"
+        },
+        "delete_worker_on_error": {
+          "default": true,
+          "description": "Whether to delete the worker instance when an error occurs during job execution.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_OffwindConfig": {
+      "description": "Configuration for offshore wind.",
+      "properties": {
+        "cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "default",
+          "description": "Specifies the weather data cutout file(s) to use."
+        },
+        "resource": {
+          "description": "Configuration for wind resource settings.",
+          "properties": {
+            "method": {
+              "default": "wind",
+              "description": "A superordinate technology type.",
+              "type": "string"
+            },
+            "turbine": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "string"
+                  },
+                  "type": "object"
+                }
+              ],
+              "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+            },
+            "smooth": {
+              "default": false,
+              "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+              "type": "boolean"
+            },
+            "add_cutout_windspeed": {
+              "default": true,
+              "description": "Whether to add cutout windspeed data.",
+              "type": "boolean"
+            }
+          },
+          "required": [
+            "turbine"
+          ]
+        },
+        "resource_classes": {
+          "default": 1,
+          "description": "Number of resource classes per clustered region.",
+          "type": "integer"
+        },
+        "capacity_per_sqkm": {
+          "default": 2,
+          "description": "Allowable density of wind turbine placement.",
+          "type": "number"
+        },
+        "correction_factor": {
+          "default": 0.8855,
+          "description": "Correction factor for capacity factor time series.",
+          "type": "number"
+        },
+        "corine": {
+          "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "luisa": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            }
+          ],
+          "default": false,
+          "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+        },
+        "natura": {
+          "default": true,
+          "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+          "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+          "type": "boolean"
+        },
+        "ship_threshold": {
+          "default": 400,
+          "description": "Ship density threshold from which areas are excluded.",
+          "type": "number"
+        },
+        "max_depth": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+        },
+        "min_depth": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Minimum water depth in meters."
+        },
+        "max_shore_distance": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+        },
+        "min_shore_distance": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+        },
+        "excluder_resolution": {
+          "default": 200,
+          "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+          "type": "number"
+        },
+        "clip_p_max_pu": {
+          "default": 0.01,
+          "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+          "type": "number"
+        },
+        "landfall_length": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": 20,
+          "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+        }
+      }
+    },
+    "_OnwindConfig": {
+      "description": "Configuration for onshore wind.",
+      "properties": {
+        "cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "default",
+          "description": "Specifies the weather data cutout file(s) to use."
+        },
+        "resource": {
+          "description": "Configuration for wind resource settings.",
+          "properties": {
+            "method": {
+              "default": "wind",
+              "description": "A superordinate technology type.",
+              "type": "string"
+            },
+            "turbine": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "string"
+                  },
+                  "type": "object"
+                }
+              ],
+              "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+            },
+            "smooth": {
+              "default": false,
+              "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+              "type": "boolean"
+            },
+            "add_cutout_windspeed": {
+              "default": true,
+              "description": "Whether to add cutout windspeed data.",
+              "type": "boolean"
+            }
+          },
+          "required": [
+            "turbine"
+          ]
+        },
+        "resource_classes": {
+          "default": 1,
+          "description": "Number of resource classes per clustered region.",
+          "type": "integer"
+        },
+        "capacity_per_sqkm": {
+          "default": 3,
+          "description": "Allowable density of wind turbine placement.",
+          "type": "number"
+        },
+        "correction_factor": {
+          "default": 1.0,
+          "description": "Correction factor for capacity factor time series.",
+          "type": "number"
+        },
+        "corine": {
+          "description": "Configuration for CORINE land cover settings.",
+          "properties": {
+            "grid_codes": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "distance": {
+              "default": 1000,
+              "description": "Distance in meters to keep from areas specified in `distance_grid_codes`.",
+              "type": "number"
+            },
+            "distance_grid_codes": {
+              "description": "Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            }
+          },
+          "required": [
+            "grid_codes"
+          ]
+        },
+        "luisa": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": true,
+              "type": "object"
+            }
+          ],
+          "default": false,
+          "description": "LUISA land cover configuration."
+        },
+        "natura": {
+          "default": true,
+          "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+          "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+          "type": "boolean"
+        },
+        "excluder_resolution": {
+          "default": 100,
+          "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+          "type": "number"
+        },
+        "clip_p_max_pu": {
+          "default": 0.01,
+          "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+          "type": "number"
+        }
+      }
+    },
+    "_OperationalReserveConfig": {
+      "description": "Configuration for `electricity.operational_reserve` settings.",
+      "properties": {
+        "activate": {
+          "default": false,
+          "description": "Whether to take operational reserve requirements into account during optimisation.",
+          "type": "boolean"
+        },
+        "epsilon_load": {
+          "default": 0.02,
+          "description": "share of total load.",
+          "type": "number"
+        },
+        "epsilon_vres": {
+          "default": 0.02,
+          "description": "share of total renewable supply.",
+          "type": "number"
+        },
+        "contingency": {
+          "default": 4000,
+          "description": "Fixed reserve capacity (MW).",
+          "type": "number"
+        }
+      }
+    },
+    "_OrientationConfig": {
+      "description": "Configuration for `solar_thermal.orientation` settings.",
+      "properties": {
+        "slope": {
+          "default": 45.0,
+          "description": "The angle between the ground and the panels.",
+          "type": "number"
+        },
+        "azimuth": {
+          "default": 180.0,
+          "description": "The angle between the North and the sun with panels on the local horizon.",
+          "type": "number"
+        }
+      }
+    },
+    "_PostDiscretizationConfig": {
+      "description": "Configuration for `solving.options.post_discretization` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Switch to enable post-discretization of the network. Disabled by default.",
+          "type": "boolean"
+        },
+        "line_unit_size": {
+          "default": 1700,
+          "description": "Discrete unit size of lines in MW.",
+          "type": "number"
+        },
+        "line_threshold": {
+          "default": 0.3,
+          "description": "The threshold relative to the discrete line unit size beyond which to round up to the next unit.",
+          "type": "number"
+        },
+        "link_unit_size": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Discrete unit size of links in MW by carrier (given in dictionary style).",
+          "type": "object"
+        },
+        "link_threshold": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style).",
+          "type": "object"
+        },
+        "fractional_last_unit_size": {
+          "default": false,
+          "description": "When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_PrepareKwargsConfig": {
+      "description": "Configuration for `atlite.cutouts.{name}.prepare_kwargs` settings.",
+      "properties": {
+        "features": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features."
+        },
+        "sarah_dir": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the `atlite documentation <https://atlite.readthedocs.io>`_ for details. Required for building cutouts with SARAH, not required for ERA5 cutouts.",
+          "markdownDescription": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the [atlite documentation ](https://atlite.readthedocs.io) for details. Required for building cutouts with SARAH, not required for ERA5 cutouts."
+        },
+        "monthly_requests": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Whether to use monthly requests for ERA5 data when building the cutout. Helpful to avoid running into request limits with large cutouts."
+        },
+        "tmpdir": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Path to a temporary directory where intermediate files are stored when building the cutout. Helpful when building large cutouts."
+        }
+      }
+    },
+    "_ResidentialHeatConfig": {
+      "description": "Configuration for `sector.residential_heat` settings.",
+      "properties": {
+        "dsm": {
+          "description": "Configuration for `sector.residential_heat.dsm` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage.",
+              "type": "boolean"
+            },
+            "direction": {
+              "description": "'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "restriction_value": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility.",
+              "type": "object"
+            },
+            "restriction_time": {
+              "description": "Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            }
+          }
+        }
+      }
+    },
+    "_ResidentialHeatDsmConfig": {
+      "description": "Configuration for `sector.residential_heat.dsm` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage.",
+          "type": "boolean"
+        },
+        "direction": {
+          "description": "'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "restriction_value": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility.",
+          "type": "object"
+        },
+        "restriction_time": {
+          "description": "Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "_RetrofittingConfig": {
+      "description": "Configuration for `sector.retrofitting` settings.",
+      "properties": {
+        "retro_endogen": {
+          "default": false,
+          "description": "Add retrofitting as an endogenous system which co-optimise space heat savings.",
+          "type": "boolean"
+        },
+        "cost_factor": {
+          "default": 1.0,
+          "description": "Weight costs for building renovation.",
+          "type": "number"
+        },
+        "interest_rate": {
+          "default": 0.04,
+          "description": "The interest rate for investment in building components.",
+          "type": "number"
+        },
+        "annualise_cost": {
+          "default": true,
+          "description": "Annualise the investment costs of retrofitting.",
+          "type": "boolean"
+        },
+        "tax_weighting": {
+          "default": false,
+          "description": "Weight the costs of retrofitting depending on taxes in countries.",
+          "type": "boolean"
+        },
+        "construction_index": {
+          "default": true,
+          "description": "Weight the costs of retrofitting depending on labour/material costs per country.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_ScenariosConfig": {
+      "description": "Configuration for `run.scenarios` level.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Switch to select whether workflow should generate scenarios based on ``file``.",
+          "type": "boolean"
+        },
+        "file": {
+          "default": "config/scenarios.yaml",
+          "description": "Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, ``run: scenarios`` has to be set to ``true`` and ``run: name`` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the ``config/create_scenarios.py`` script in the ``config`` directory.",
+          "examples": [
+            "config/scenarios.yaml"
+          ],
+          "type": "string"
+        }
+      }
+    },
+    "_SharedResourcesConfig": {
+      "description": "Configuration for `run.shared_resources` level.",
+      "properties": {
+        "policy": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": false,
+          "description": "Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared.",
+          "examples": [
+            false,
+            "base"
+          ]
+        },
+        "exclude": {
+          "description": "For the case shared_resources=base, specify additional files that should not be shared across runs.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "_SimplifyNetworkConfig": {
+      "description": "Configuration for `clustering.simplify_network` settings.",
+      "properties": {
+        "to_substations": {
+          "default": false,
+          "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
+          "type": "boolean"
+        },
+        "exclude_carriers": {
+          "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "remove_stubs": {
+          "default": true,
+          "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
+          "type": "boolean"
+        },
+        "remove_stubs_across_borders": {
+          "default": false,
+          "description": "Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true.",
+          "type": "boolean"
+        }
+      }
+    },
+    "_SolarConfig": {
+      "description": "Configuration for solar PV.",
+      "properties": {
+        "cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "default",
+          "description": "Specifies the weather data cutout file(s) to use."
+        },
+        "resource": {
+          "description": "Configuration for solar resource settings.",
+          "properties": {
+            "method": {
+              "default": "pv",
+              "description": "A superordinate technology type.",
+              "type": "string"
+            },
+            "panel": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "string"
+                  },
+                  "type": "object"
+                }
+              ],
+              "default": "CSi",
+              "description": "Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available."
+            },
+            "orientation": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Panel orientation with slope and azimuth.",
+              "type": "object"
+            },
+            "tracking": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Tracking type (e.g., 'horizontal')."
+            }
+          }
+        },
+        "resource_classes": {
+          "default": 1,
+          "description": "Number of resource classes per clustered region.",
+          "type": "integer"
+        },
+        "capacity_per_sqkm": {
+          "default": 5.1,
+          "description": "Allowable density of solar panel placement.",
+          "type": "number"
+        },
+        "correction_factor": {
+          "default": 1.0,
+          "description": "A correction factor for the capacity factor (availability) time series.",
+          "type": "number"
+        },
+        "corine": {
+          "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "luisa": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            }
+          ],
+          "default": false,
+          "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement."
+        },
+        "natura": {
+          "default": true,
+          "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+          "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+          "type": "boolean"
+        },
+        "excluder_resolution": {
+          "default": 100,
+          "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+          "type": "number"
+        },
+        "clip_p_max_pu": {
+          "default": 0.01,
+          "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+          "type": "number"
+        }
+      }
+    },
+    "_SolarResourceConfig": {
+      "description": "Configuration for solar resource settings.",
+      "properties": {
+        "method": {
+          "default": "pv",
+          "description": "A superordinate technology type.",
+          "type": "string"
+        },
+        "panel": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "additionalProperties": {
+                "type": "string"
+              },
+              "type": "object"
+            }
+          ],
+          "default": "CSi",
+          "description": "Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available."
+        },
+        "orientation": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Panel orientation with slope and azimuth.",
+          "type": "object"
+        },
+        "tracking": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Tracking type (e.g., 'horizontal')."
+        }
+      }
+    },
+    "_SolidBiomassImportConfig": {
+      "description": "Configuration for `sector.solid_biomass_import` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Add option to include solid biomass imports.",
+          "type": "boolean"
+        },
+        "price": {
+          "default": 54,
+          "description": "Price for importing solid biomass (currency/MWh).",
+          "type": "number"
+        },
+        "max_amount": {
+          "default": 1390,
+          "description": "Maximum solid biomass import potential (TWh).",
+          "type": "number"
+        },
+        "upstream_emissions_factor": {
+          "default": 0.1,
+          "description": "Upstream emissions of solid biomass imports.",
+          "type": "number"
+        }
+      }
+    },
+    "_SolverConfig": {
+      "description": "Configuration for `solving.solver` settings.",
+      "properties": {
+        "name": {
+          "default": "gurobi",
+          "description": "Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow.",
+          "type": "string"
+        },
+        "options": {
+          "default": "gurobi-default",
+          "description": "Link to specific parameter settings.",
+          "type": "string"
+        }
+      }
+    },
+    "_SolvingOptionsConfig": {
+      "description": "Configuration for `solving.options` settings.",
+      "properties": {
+        "clip_p_max_pu": {
+          "default": 0.01,
+          "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+          "type": "number"
+        },
+        "load_shedding": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "number"
+            }
+          ],
+          "default": false,
+          "description": "Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh."
+        },
+        "curtailment_mode": {
+          "default": false,
+          "description": "Fixes the dispatch profiles of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to `false`.",
+          "type": "boolean"
+        },
+        "noisy_costs": {
+          "default": true,
+          "description": "Add random noise to marginal cost of generators by :math:`\\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\\mathcal{U}(0.09,0,11)`.",
+          "type": "boolean"
+        },
+        "skip_iterations": {
+          "default": true,
+          "description": "Skip iterating, do not update impedances of branches. Defaults to true.",
+          "type": "boolean"
+        },
+        "rolling_horizon": {
+          "default": false,
+          "description": "Switch for rule `solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks.",
+          "type": "boolean"
+        },
+        "seed": {
+          "default": 123,
+          "description": "Random seed for increased deterministic behaviour.",
+          "type": "integer"
+        },
+        "custom_extra_functionality": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": "../data/custom_extra_functionality.py",
+          "description": "Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to `rules` directory."
+        },
+        "io_api": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Passed to linopy and determines the API used to communicate with the solver. With the `'lp'` and `'mps'` options linopy passes a file to the solver; with the `'direct'` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance."
+        },
+        "track_iterations": {
+          "default": false,
+          "description": "Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in `network.lines['s_nom_opt_X']` (where `X` labels the iteration)",
+          "type": "boolean"
+        },
+        "min_iterations": {
+          "default": 2,
+          "description": "Minimum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+          "type": "integer"
+        },
+        "max_iterations": {
+          "default": 3,
+          "description": "Maximum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+          "type": "integer"
+        },
+        "transmission_losses": {
+          "default": 2,
+          "description": "Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored.",
+          "type": "integer"
+        },
+        "linearized_unit_commitment": {
+          "default": true,
+          "description": "Whether to optimise using the linearized unit commitment formulation.",
+          "type": "boolean"
+        },
+        "horizon": {
+          "default": 365,
+          "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
+          "type": "integer"
+        },
+        "post_discretization": {
+          "description": "Configuration for `solving.options.post_discretization` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Switch to enable post-discretization of the network. Disabled by default.",
+              "type": "boolean"
+            },
+            "line_unit_size": {
+              "default": 1700,
+              "description": "Discrete unit size of lines in MW.",
+              "type": "number"
+            },
+            "line_threshold": {
+              "default": 0.3,
+              "description": "The threshold relative to the discrete line unit size beyond which to round up to the next unit.",
+              "type": "number"
+            },
+            "link_unit_size": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Discrete unit size of links in MW by carrier (given in dictionary style).",
+              "type": "object"
+            },
+            "link_threshold": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style).",
+              "type": "object"
+            },
+            "fractional_last_unit_size": {
+              "default": false,
+              "description": "When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size.",
+              "type": "boolean"
+            }
+          }
+        },
+        "keep_files": {
+          "default": false,
+          "description": "Whether to keep LPs and MPS files after solving.",
+          "type": "boolean"
+        },
+        "model_kwargs": {
+          "description": "Configuration for `solving.options.model_kwargs` settings.",
+          "properties": {
+            "solver_dir": {
+              "default": "",
+              "description": "Absolute path to the directory where linopy saves files.",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "_TechnologyMappingConfig": {
+      "description": "Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings.",
+      "properties": {
+        "Offshore": {
+          "default": "offwind-ac",
+          "description": "PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM).",
+          "type": "string"
+        },
+        "Onshore": {
+          "default": "onwind",
+          "description": "PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM).",
+          "type": "string"
+        },
+        "PV": {
+          "default": "solar",
+          "description": "PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM).",
+          "type": "string"
+        }
+      }
+    },
+    "_TemporalConfig": {
+      "description": "Configuration for `clustering.temporal` settings.",
+      "properties": {
+        "resolution_elec": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": false,
+          "description": "Resample the time-resolution by averaging over every `n` snapshots in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks."
+        },
+        "resolution_sector": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": false,
+          "description": "Resample the time-resolution by averaging over every `n` snapshots in `prepare_sector_network`."
+        }
+      }
+    },
+    "_TransmissionEfficiencyConfig": {
+      "description": "Configuration for `sector.transmission_efficiency` settings.",
+      "properties": {
+        "enable": {
+          "description": "Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "DC": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "DC transmission efficiency.",
+          "type": "object"
+        },
+        "H2 pipeline": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "H2 pipeline transmission efficiency.",
+          "type": "object"
+        },
+        "gas pipeline": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Gas pipeline transmission efficiency.",
+          "type": "object"
+        },
+        "electricity distribution grid": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Electricity distribution grid efficiency.",
+          "type": "object"
+        }
+      }
+    },
+    "_UserAgentConfig": {
+      "description": "Configuration for `overpass_api.user_agent` settings.",
+      "properties": {
+        "project_name": {
+          "default": "PyPSA-Eur",
+          "description": "Project name used to identify the user agent of the Overpass API requests.",
+          "type": "string"
+        },
+        "email": {
+          "default": "contact@pypsa.org",
+          "description": "Contact email address for the project using the Overpass API.",
+          "type": "string"
+        },
+        "website": {
+          "default": "https://github.com/PyPSA/pypsa-eur",
+          "description": "Website URL for the project using the Overpass API.",
+          "type": "string"
+        }
+      }
+    },
+    "_WindResourceConfig": {
+      "description": "Configuration for wind resource settings.",
+      "properties": {
+        "method": {
+          "default": "wind",
+          "description": "A superordinate technology type.",
+          "type": "string"
+        },
+        "turbine": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "additionalProperties": {
+                "type": "string"
+              },
+              "type": "object"
+            }
+          ],
+          "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+        },
+        "smooth": {
+          "default": false,
+          "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+          "type": "boolean"
+        },
+        "add_cutout_windspeed": {
+          "default": true,
+          "description": "Whether to add cutout windspeed data.",
+          "type": "boolean"
+        }
+      },
+      "required": [
+        "turbine"
+      ]
+    }
+  },
+  "additionalProperties": true,
+  "description": "Combined configuration schema for PyPSA-EUR.",
+  "properties": {
+    "version": {
+      "default": "v2025.07.0",
+      "description": "Version of PyPSA-Eur. Descriptive only.",
+      "type": "string"
+    },
+    "tutorial": {
+      "default": false,
+      "description": "Switch to retrieve the tutorial data set instead of the full data set.",
+      "type": "boolean"
+    },
+    "logging": {
+      "description": "Configuration for top level `logging` settings.",
+      "properties": {
+        "level": {
+          "default": "INFO",
+          "description": "Restrict console outputs to all infos, warning or errors only",
+          "enum": [
+            "DEBUG",
+            "INFO",
+            "WARNING",
+            "ERROR",
+            "CRITICAL"
+          ],
+          "type": "string"
+        },
+        "format": {
+          "default": "%(levelname)s:%(name)s:%(message)s",
+          "description": "Custom format for log messages. See `LogRecord <https://docs.python.org/3/library/logging.html#logging.LogRecord>`_ attributes.",
+          "markdownDescription": "Custom format for log messages. See [LogRecord ](https://docs.python.org/3/library/logging.html#logging.LogRecord) attributes.",
+          "type": "string"
+        }
+      }
+    },
+    "remote": {
+      "description": "Configuration for top level `remote` settings.",
+      "properties": {
+        "ssh": {
+          "default": "",
+          "description": "Optionally specify the SSH of a remote cluster to be synchronized.",
+          "type": "string"
+        },
+        "path": {
+          "default": "",
+          "description": "Optionally specify the file path within the remote cluster to be synchronized.",
+          "type": "string"
+        }
+      }
+    },
+    "run": {
+      "description": "Configuration for top level `run` settings.",
+      "properties": {
+        "prefix": {
+          "default": "",
+          "description": "Prefix for the run name which is used as a top-layer directory name in the results and resources folders.",
+          "type": "string"
+        },
+        "name": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "",
+          "description": "Specify a name for your run. Results will be stored under this name. If ``scenario: enable:`` is set to ``true``, the name must contain a subset of scenario names defined in ``scenario: file:``. If the name is 'all', all defined scenarios will be run.",
+          "examples": [
+            "my-pypsa-eur-run"
+          ]
+        },
+        "scenarios": {
+          "description": "Configuration for `run.scenarios` level.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Switch to select whether workflow should generate scenarios based on ``file``.",
+              "type": "boolean"
+            },
+            "file": {
+              "default": "config/scenarios.yaml",
+              "description": "Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, ``run: scenarios`` has to be set to ``true`` and ``run: name`` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the ``config/create_scenarios.py`` script in the ``config`` directory.",
+              "examples": [
+                "config/scenarios.yaml"
+              ],
+              "type": "string"
+            }
+          }
+        },
+        "disable_progressbar": {
+          "default": false,
+          "description": "Switch to select whether progressbar should be disabled.",
+          "type": "boolean"
+        },
+        "shared_resources": {
+          "description": "Configuration for `run.shared_resources` level.",
+          "properties": {
+            "policy": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared.",
+              "examples": [
+                false,
+                "base"
+              ]
+            },
+            "exclude": {
+              "description": "For the case shared_resources=base, specify additional files that should not be shared across runs.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "use_shadow_directory": {
+          "default": false,
+          "description": "Set to ``true`` (default) if snakemake shadow directories (``shallow``) should be used. Set to ``false`` if problems occur.",
+          "examples": [
+            true
+          ],
+          "type": "boolean"
+        }
+      }
+    },
+    "foresight": {
+      "default": "overnight",
+      "description": "Configuration for `foresight` settings.",
+      "enum": [
+        "overnight",
+        "myopic",
+        "perfect"
+      ],
+      "type": "string"
+    },
+    "scenario": {
+      "description": "Configuration for top level `scenario` settings.",
+      "properties": {
+        "clusters": {
+          "description": "List of ``{clusters}`` wildcards to run. Use 'adm' for administrative clustering mode, 'all' for all nodes.",
+          "items": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "enum": [
+                  "adm",
+                  "all"
+                ],
+                "type": "string"
+              }
+            ]
+          },
+          "type": "array"
+        },
+        "opts": {
+          "description": "List of ``{opts}`` wildcards to run.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "sector_opts": {
+          "description": "List of ``{sector_opts}`` wildcards to run.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "planning_horizons": {
+          "description": "List of ``{planning_horizon}`` wildcards to run.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "countries": {
+      "default": [
+        "AL",
+        "AT",
+        "BA",
+        "BE",
+        "BG",
+        "CH",
+        "CZ",
+        "DE",
+        "DK",
+        "EE",
+        "ES",
+        "FI",
+        "FR",
+        "GB",
+        "GR",
+        "HR",
+        "HU",
+        "IE",
+        "IT",
+        "LT",
+        "LU",
+        "LV",
+        "ME",
+        "MK",
+        "NL",
+        "NO",
+        "PL",
+        "PT",
+        "RO",
+        "RS",
+        "SE",
+        "SI",
+        "SK",
+        "XK"
+      ],
+      "description": "Configuration for `countries` settings.",
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    "snapshots": {
+      "description": "Configuration for `snapshots` settings.",
+      "properties": {
+        "start": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "2013-01-01",
+          "description": "Left bound of date range."
+        },
+        "end": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "2014-01-01",
+          "description": "Right bound of date range."
+        },
+        "inclusive": {
+          "anyOf": [
+            {
+              "enum": [
+                "left",
+                "right",
+                "both"
+              ],
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": "left",
+          "description": "Make the time interval closed to the `left`, `right`, or both sides `both` or neither side `None`."
+        }
+      }
+    },
+    "enable": {
+      "description": "Configuration for `enable` settings.",
+      "properties": {
+        "drop_leap_day": {
+          "default": true,
+          "description": "Switch to drop February 29 from all time-dependent data in leap years.",
+          "type": "boolean"
+        }
+      }
+    },
+    "co2_budget": {
+      "additionalProperties": {
+        "type": "number"
+      },
+      "description": "Configuration for `co2_budget` settings.",
+      "type": "object"
+    },
+    "electricity": {
+      "description": "Configuration for `electricity` settings.",
+      "properties": {
+        "voltages": {
+          "description": "Voltage levels to consider.",
+          "items": {
+            "type": "number"
+          },
+          "type": "array"
+        },
+        "base_network": {
+          "default": "osm",
+          "description": "Specify the underlying base network, i.e. GridKit (based on ENTSO-E web map extract), OpenStreetMap (OSM), or TYNDP.",
+          "enum": [
+            "entsoegridkit",
+            "osm",
+            "tyndp"
+          ],
+          "type": "string"
+        },
+        "gaslimit_enable": {
+          "default": false,
+          "description": "Add an overall absolute gas limit configured in `electricity: gaslimit`.",
+          "type": "boolean"
+        },
+        "gaslimit": {
+          "anyOf": [
+            {
+              "type": "number"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Global gas usage limit."
+        },
+        "co2limit_enable": {
+          "default": false,
+          "description": "Add an overall absolute carbon-dioxide emissions limit configured in `electricity: co2limit` in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks.",
+          "type": "boolean"
+        },
+        "co2limit": {
+          "default": 77500000.0,
+          "description": "Cap on total annual system carbon dioxide emissions.",
+          "type": "number"
+        },
+        "co2base": {
+          "default": 1487000000.0,
+          "description": "Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in `{opts}` wildcard.",
+          "type": "number"
+        },
+        "operational_reserve": {
+          "description": "Configuration for `electricity.operational_reserve` settings.",
+          "properties": {
+            "activate": {
+              "default": false,
+              "description": "Whether to take operational reserve requirements into account during optimisation.",
+              "type": "boolean"
+            },
+            "epsilon_load": {
+              "default": 0.02,
+              "description": "share of total load.",
+              "type": "number"
+            },
+            "epsilon_vres": {
+              "default": 0.02,
+              "description": "share of total renewable supply.",
+              "type": "number"
+            },
+            "contingency": {
+              "default": 4000,
+              "description": "Fixed reserve capacity (MW).",
+              "type": "number"
+            }
+          }
+        },
+        "max_hours": {
+          "description": "Configuration for `electricity.max_hours` settings.",
+          "properties": {
+            "battery": {
+              "default": 6,
+              "description": "Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+              "type": "number"
+            },
+            "H2": {
+              "default": 168,
+              "description": "Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+              "type": "number"
+            }
+          }
+        },
+        "extendable_carriers": {
+          "description": "Configuration for `electricity.extendable_carriers` settings.",
+          "properties": {
+            "Generator": {
+              "description": "Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the `conventional_carriers` list, the lower limit of the capacity expansion is set to 0.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "StorageUnit": {
+              "description": "Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "Store": {
+              "description": "Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "Link": {
+              "description": "Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as `Store`.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "powerplants_filter": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": "(DateOut >= 2024 or DateOut != DateOut) and not (Country == 'Germany' and Fueltype == 'Nuclear')",
+          "description": "Filter query for the default powerplant database."
+        },
+        "custom_powerplants": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "Filter query for the custom powerplant database."
+        },
+        "everywhere_powerplants": {
+          "description": "List of conventional power plants to add to every node in the model with zero initial capacity. To be used in combination with `extendable_carriers` to allow for building conventional powerplants irrespective of existing locations.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "conventional_carriers": {
+          "description": "List of conventional power plants to include in the model from `resources/powerplants_s_{clusters}.csv`. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "renewable_carriers": {
+          "description": "List of renewable generators to include in the model.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "estimate_renewable_capacities": {
+          "description": "Configuration for `electricity.estimate_renewable_capacities` settings.",
+          "properties": {
+            "enable": {
+              "default": true,
+              "description": "Activate routine to estimate renewable capacities in rule `add_electricity`. This option should not be used in combination with pathway planning `foresight: myopic` or `foresight: perfect` as renewable capacities are added differently in `add_existing_baseyear`.",
+              "type": "boolean"
+            },
+            "from_gem": {
+              "default": true,
+              "description": "Add renewable capacities from `Global Energy Monitor's Global Solar Power Tracker <https://globalenergymonitor.org/projects/global-solar-power-tracker/>`_ and `Global Energy Monitor's Global Wind Power Tracker <https://globalenergymonitor.org/projects/global-wind-power-tracker/>`_.",
+              "markdownDescription": "Add renewable capacities from [Global Energy Monitor's Global Solar Power Tracker ](https://globalenergymonitor.org/projects/global-solar-power-tracker/) and [Global Energy Monitor's Global Wind Power Tracker ](https://globalenergymonitor.org/projects/global-wind-power-tracker/).",
+              "type": "boolean"
+            },
+            "year": {
+              "default": 2020,
+              "description": "Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year.",
+              "type": "integer"
+            },
+            "expansion_limit": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "boolean"
+                }
+              ],
+              "default": false,
+              "description": "Artificially limit maximum IRENA capacities to a factor. For example, an `expansion_limit: 1.1` means 110% of capacities. If false are chosen, the estimated renewable potentials determine by the workflow are used."
+            },
+            "technology_mapping": {
+              "description": "Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings.",
+              "properties": {
+                "Offshore": {
+                  "default": "offwind-ac",
+                  "description": "PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM).",
+                  "type": "string"
+                },
+                "Onshore": {
+                  "default": "onwind",
+                  "description": "PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM).",
+                  "type": "string"
+                },
+                "PV": {
+                  "default": "solar",
+                  "description": "PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM).",
+                  "type": "string"
+                }
+              }
+            }
+          }
+        },
+        "autarky": {
+          "description": "Configuration for `electricity.autarky` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Require each node to be autarkic by removing all lines and links.",
+              "type": "boolean"
+            },
+            "by_country": {
+              "default": false,
+              "description": "Require each country to be autarkic by removing all cross-border lines and links. `electricity: autarky` must be enabled.",
+              "type": "boolean"
+            }
+          }
+        },
+        "transmission_limit": {
+          "default": "vopt",
+          "description": "Limit on transmission expansion. The first part can be `v` (for setting a limit on line volume) or `c` (for setting a limit on line cost). The second part can be `opt` or a float bigger than one (e.g. 1.25). If `opt` is chosen line expansion is optimised according to its capital cost (where the choice `v` only considers overhead costs for HVDC transmission lines, while `c` uses more accurate costs distinguishing between overhead and underwater sections and including inverter pairs). The setting `v1.25` will limit the total volume of line expansion to 25% of currently installed capacities weighted by individual line lengths. The setting `c1.25` will allow to build a transmission network that costs no more than 25 % more than the current system.",
+          "type": "string"
+        }
+      }
+    },
+    "atlite": {
+      "description": "Configuration for `atlite` settings.",
+      "properties": {
+        "default_cutout": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          ],
+          "default": "europe-1940-2024-era5",
+          "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
+        },
+        "nprocesses": {
+          "default": 16,
+          "description": "Number of parallel processes in cutout preparation.",
+          "type": "integer"
+        },
+        "show_progress": {
+          "default": false,
+          "description": "Whether progressbar for atlite conversion processes should be shown. False saves time.",
+          "type": "boolean"
+        },
+        "cutouts": {
+          "additionalProperties": {
+            "description": "Configuration for a single cutout in `atlite.cutouts`.",
+            "properties": {
+              "module": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "items": {
+                      "type": "string"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Source of the reanalysis weather dataset (e.g. `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_ or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`_).",
+                "markdownDescription": "Source of the reanalysis weather dataset (e.g. [ERA5 ](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) or [SARAH-3 ](https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002))."
+              },
+              "x": {
+                "anyOf": [
+                  {
+                    "items": {
+                      "type": "number"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Range of longitudes [\u00b0] to download weather data for. Float interval within [-180, 180]. If not defined, it defaults to the spatial bounds of all bus shapes."
+              },
+              "y": {
+                "anyOf": [
+                  {
+                    "items": {
+                      "type": "number"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Range of latitudes [\u00b0] to download weather data for. Float interval within [-90, 90]. If not defined, it defaults to the spatial bounds of all bus shapes."
+              },
+              "dx": {
+                "anyOf": [
+                  {
+                    "exclusiveMinimum": 0.25,
+                    "type": "number"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Grid resolution [\u00b0] for longitude. Must be larger than 0.25\u00b0."
+              },
+              "dy": {
+                "anyOf": [
+                  {
+                    "exclusiveMinimum": 0.25,
+                    "type": "number"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Grid resolution [\u00b0] for latitude. Must be larger than 0.25\u00b0."
+              },
+              "time": {
+                "anyOf": [
+                  {
+                    "items": {
+                      "type": "string"
+                    },
+                    "type": "array"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots."
+              },
+              "chunks": {
+                "anyOf": [
+                  {
+                    "description": "Configuration for `atlite.cutouts.{name}.chunks` settings.",
+                    "properties": {
+                      "time": {
+                        "anyOf": [
+                          {
+                            "type": "integer"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Chunk size for time dimension when preparing cutout."
+                      }
+                    }
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Chunking configuration for cutout preparation."
+              },
+              "prepare_kwargs": {
+                "anyOf": [
+                  {
+                    "description": "Configuration for `atlite.cutouts.{name}.prepare_kwargs` settings.",
+                    "properties": {
+                      "features": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "items": {
+                              "type": "string"
+                            },
+                            "type": "array"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features."
+                      },
+                      "sarah_dir": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the `atlite documentation <https://atlite.readthedocs.io>`_ for details. Required for building cutouts with SARAH, not required for ERA5 cutouts.",
+                        "markdownDescription": "Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the [atlite documentation ](https://atlite.readthedocs.io) for details. Required for building cutouts with SARAH, not required for ERA5 cutouts."
+                      },
+                      "monthly_requests": {
+                        "anyOf": [
+                          {
+                            "type": "boolean"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Whether to use monthly requests for ERA5 data when building the cutout. Helpful to avoid running into request limits with large cutouts."
+                      },
+                      "tmpdir": {
+                        "anyOf": [
+                          {
+                            "type": "string"
+                          },
+                          {
+                            "type": "null"
+                          }
+                        ],
+                        "default": null,
+                        "description": "Path to a temporary directory where intermediate files are stored when building the cutout. Helpful when building large cutouts."
+                      }
+                    }
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "description": "Dictionary of keyword arguments passed to ``atlite.Cutout.prepare()`` when building the cutout."
+              }
+            }
+          },
+          "description": "Named cutout configurations.",
+          "type": "object"
+        }
+      }
+    },
+    "renewable": {
+      "description": "Configuration for `renewable` settings.",
+      "properties": {
+        "onwind": {
+          "description": "Configuration for onshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 3,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 1.0,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Configuration for CORINE land cover settings.",
+              "properties": {
+                "grid_codes": {
+                  "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement.",
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                },
+                "distance": {
+                  "default": 1000,
+                  "description": "Distance in meters to keep from areas specified in `distance_grid_codes`.",
+                  "type": "number"
+                },
+                "distance_grid_codes": {
+                  "description": "Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`.",
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              },
+              "required": [
+                "grid_codes"
+              ]
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "additionalProperties": true,
+                  "type": "object"
+                }
+              ],
+              "default": false,
+              "description": "LUISA land cover configuration."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "excluder_resolution": {
+              "default": 100,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            }
+          }
+        },
+        "offwind-ac": {
+          "description": "Configuration for offshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 2,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 0.8855,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "ship_threshold": {
+              "default": 400,
+              "description": "Ship density threshold from which areas are excluded.",
+              "type": "number"
+            },
+            "max_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum water depth in meters."
+            },
+            "max_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "excluder_resolution": {
+              "default": 200,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "landfall_length": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": 20,
+              "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+            }
+          }
+        },
+        "offwind-dc": {
+          "description": "Configuration for offshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 2,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 0.8855,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "ship_threshold": {
+              "default": 400,
+              "description": "Ship density threshold from which areas are excluded.",
+              "type": "number"
+            },
+            "max_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum water depth in meters."
+            },
+            "max_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "excluder_resolution": {
+              "default": 200,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "landfall_length": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": 20,
+              "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+            }
+          }
+        },
+        "offwind-float": {
+          "description": "Configuration for offshore wind.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for wind resource settings.",
+              "properties": {
+                "method": {
+                  "default": "wind",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "turbine": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "description": "Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available."
+                },
+                "smooth": {
+                  "default": false,
+                  "description": "Switch to apply a gaussian kernel density smoothing to the power curve.",
+                  "type": "boolean"
+                },
+                "add_cutout_windspeed": {
+                  "default": true,
+                  "description": "Whether to add cutout windspeed data.",
+                  "type": "boolean"
+                }
+              },
+              "required": [
+                "turbine"
+              ]
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 2,
+              "description": "Allowable density of wind turbine placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 0.8855,
+              "description": "Correction factor for capacity factor time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "ship_threshold": {
+              "default": 400,
+              "description": "Ship density threshold from which areas are excluded.",
+              "type": "number"
+            },
+            "max_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_depth": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum water depth in meters."
+            },
+            "max_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "min_shore_distance": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
+            },
+            "excluder_resolution": {
+              "default": 200,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "landfall_length": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": 20,
+              "description": "Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
+            }
+          }
+        },
+        "solar": {
+          "description": "Configuration for solar PV.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for solar resource settings.",
+              "properties": {
+                "method": {
+                  "default": "pv",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "panel": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": "CSi",
+                  "description": "Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available."
+                },
+                "orientation": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Panel orientation with slope and azimuth.",
+                  "type": "object"
+                },
+                "tracking": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Tracking type (e.g., 'horizontal')."
+                }
+              }
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 5.1,
+              "description": "Allowable density of solar panel placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 1.0,
+              "description": "A correction factor for the capacity factor (availability) time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "excluder_resolution": {
+              "default": 100,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            }
+          }
+        },
+        "solar-hsat": {
+          "description": "Configuration for solar PV.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "resource": {
+              "description": "Configuration for solar resource settings.",
+              "properties": {
+                "method": {
+                  "default": "pv",
+                  "description": "A superordinate technology type.",
+                  "type": "string"
+                },
+                "panel": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "additionalProperties": {
+                        "type": "string"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": "CSi",
+                  "description": "Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available."
+                },
+                "orientation": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Panel orientation with slope and azimuth.",
+                  "type": "object"
+                },
+                "tracking": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null,
+                  "description": "Tracking type (e.g., 'horizontal')."
+                }
+              }
+            },
+            "resource_classes": {
+              "default": 1,
+              "description": "Number of resource classes per clustered region.",
+              "type": "integer"
+            },
+            "capacity_per_sqkm": {
+              "default": 5.1,
+              "description": "Allowable density of solar panel placement.",
+              "type": "number"
+            },
+            "correction_factor": {
+              "default": 1.0,
+              "description": "A correction factor for the capacity factor (availability) time series.",
+              "type": "number"
+            },
+            "corine": {
+              "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement.",
+              "items": {
+                "type": "integer"
+              },
+              "type": "array"
+            },
+            "luisa": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": false,
+              "description": "Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement."
+            },
+            "natura": {
+              "default": true,
+              "description": "Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+              "markdownDescription": "Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`.",
+              "type": "boolean"
+            },
+            "excluder_resolution": {
+              "default": 100,
+              "description": "Resolution in meters on which to perform geographical eligibility analysis.",
+              "type": "number"
+            },
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            }
+          }
+        },
+        "hydro": {
+          "description": "Configuration for hydropower.",
+          "properties": {
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "carriers": {
+              "description": "Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "PHS_max_hours": {
+              "default": 6,
+              "description": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit).",
+              "type": "number"
+            },
+            "hydro_max_hours": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "number"
+                }
+              ],
+              "default": "energy_capacity_totals_by_country",
+              "description": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+              "markdownDescription": "Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit)."
+            },
+            "flatten_dispatch": {
+              "default": false,
+              "description": "Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in `flatten_dispatch_buffer`.",
+              "type": "boolean"
+            },
+            "flatten_dispatch_buffer": {
+              "default": 0.2,
+              "description": "If `flatten_dispatch` is true, specify the value added above the average capacity factor.",
+              "type": "number"
+            },
+            "clip_min_inflow": {
+              "default": 1.0,
+              "description": "To avoid too small values in the inflow time series, values below this threshold (MW) are set to zero.",
+              "type": "number"
+            },
+            "eia_norm_year": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "integer"
+                }
+              ],
+              "default": false,
+              "description": "To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year."
+            },
+            "eia_correct_by_capacity": {
+              "default": false,
+              "description": "Correct EIA annual hydro generation data by installed capacity.",
+              "type": "boolean"
+            },
+            "eia_approximate_missing": {
+              "default": false,
+              "description": "Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff.",
+              "type": "boolean"
+            }
+          }
+        }
+      }
+    },
+    "conventional": {
+      "additionalProperties": true,
+      "description": "Configuration for `conventional` settings.",
+      "properties": {
+        "unit_commitment": {
+          "default": false,
+          "description": "Allow the overwrite of ramp_limit_up, ramp_limit_start_up, ramp_limit_shut_down, p_min_pu, min_up_time, min_down_time, and start_up_cost of conventional generators. Refer to the CSV file 'unit_commitment.csv'.",
+          "type": "boolean"
+        },
+        "dynamic_fuel_price": {
+          "default": false,
+          "description": "Consider the monthly fluctuating fuel prices for each conventional generator. Refer to the CSV file 'data/validation/monthly_fuel_price.csv'.",
+          "type": "boolean"
+        },
+        "nuclear": {
+          "additionalProperties": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "number"
+              }
+            ]
+          },
+          "description": "For any carrier/technology overwrite attributes as listed below.",
+          "type": "object"
+        }
+      }
+    },
+    "lines": {
+      "description": "Configuration for `lines` settings.",
+      "properties": {
+        "types": {
+          "additionalProperties": {
+            "type": "string"
+          },
+          "description": "Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV.",
+          "type": "object"
+        },
+        "s_max_pu": {
+          "default": 0.7,
+          "description": "Correction factor for line capacities (`s_nom`) to approximate N-1 security and reserve capacity for reactive power flows.",
+          "type": "number"
+        },
+        "s_nom_max": {
+          "default": null,
+          "description": "Global upper limit for the maximum capacity of each extendable line (MW).",
+          "type": "number"
+        },
+        "max_extension": {
+          "default": 20000,
+          "description": "Upper limit for the extended capacity of each extendable line (MW).",
+          "type": "number"
+        },
+        "length_factor": {
+          "default": 1.25,
+          "description": "Correction factor to account for the fact that buses are *not* connected by lines through air-line distance.",
+          "type": "number"
+        },
+        "reconnect_crimea": {
+          "default": true,
+          "description": "Whether to reconnect Crimea to the Ukrainian grid.",
+          "type": "boolean"
+        },
+        "under_construction": {
+          "default": "keep",
+          "description": "Specifies how to handle lines which are currently under construction.",
+          "enum": [
+            "zero",
+            "remove",
+            "keep"
+          ],
+          "type": "string"
+        },
+        "dynamic_line_rating": {
+          "description": "Configuration for `lines.dynamic_line_rating` settings.",
+          "properties": {
+            "activate": {
+              "default": false,
+              "description": "Whether to take dynamic line rating into account.",
+              "type": "boolean"
+            },
+            "cutout": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                }
+              ],
+              "default": "default",
+              "description": "Specifies the weather data cutout file(s) to use."
+            },
+            "correction_factor": {
+              "default": 0.95,
+              "description": "Factor to compensate for overestimation of wind speeds in hourly averaged wind data.",
+              "type": "number"
+            },
+            "max_voltage_difference": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "const": false,
+                  "type": "boolean"
+                }
+              ],
+              "default": false,
+              "description": "Maximum voltage angle difference in degrees or 'false' to disable."
+            },
+            "max_line_rating": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "const": false,
+                  "type": "boolean"
+                }
+              ],
+              "default": false,
+              "description": "Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable."
+            }
+          }
+        }
+      }
+    },
+    "links": {
+      "description": "Configuration for `links` settings.",
+      "properties": {
+        "p_max_pu": {
+          "default": 1.0,
+          "description": "Correction factor for link capacities `p_nom`.",
+          "type": "number"
+        },
+        "p_min_pu": {
+          "default": -1.0,
+          "description": "Correction factor for link capacities `p_nom`.",
+          "type": "number"
+        },
+        "p_nom_max": {
+          "default": null,
+          "description": "Global upper limit for the maximum capacity of each extendable DC link (MW).",
+          "type": "number"
+        },
+        "max_extension": {
+          "default": 30000,
+          "description": "Upper limit for the extended capacity of each extendable DC link (MW).",
+          "type": "number"
+        },
+        "length_factor": {
+          "default": 1.25,
+          "description": "Correction factor to account for the fact that buses are *not* connected by links through air-line distance.",
+          "type": "number"
+        },
+        "under_construction": {
+          "default": "keep",
+          "description": "Specifies how to handle lines which are currently under construction.",
+          "enum": [
+            "zero",
+            "remove",
+            "keep"
+          ],
+          "type": "string"
+        }
+      }
+    },
+    "transmission_projects": {
+      "description": "Configuration for `transmission_projects` settings.",
+      "properties": {
+        "enable": {
+          "default": true,
+          "description": "Whether to integrate this transmission projects or not.",
+          "type": "boolean"
+        },
+        "include": {
+          "description": "Configuration for `transmission_projects.include` settings.",
+          "properties": {
+            "tyndp2020": {
+              "default": true,
+              "description": "Whether to integrate the TYNDP 2020 dataset.",
+              "type": "boolean"
+            },
+            "nep": {
+              "default": true,
+              "description": "Whether to integrate the German network development plan dataset.",
+              "type": "boolean"
+            },
+            "manual": {
+              "default": true,
+              "description": "Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file.",
+              "type": "boolean"
+            }
+          }
+        },
+        "skip": {
+          "description": "Type of lines to skip from all transmission projects. Possible values are: `upgraded_lines`, `upgraded_links`, `new_lines`, `new_links`.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "status": {
+          "anyOf": [
+            {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            {
+              "additionalProperties": {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              "type": "object"
+            }
+          ],
+          "description": "Status to include into the model as list or as dict with name of project and status to include. Possible values for status are `under_construction`, `in_permitting`, `confirmed`, `planned_not_yet_permitted`, `under_consideration`."
+        },
+        "new_link_capacity": {
+          "default": "zero",
+          "description": "Whether to set the new link capacity to the provided capacity or set it to zero.",
+          "enum": [
+            "zero",
+            "keep"
+          ],
+          "type": "string"
+        }
+      }
+    },
+    "transformers": {
+      "description": "Configuration for `transformers` settings.",
+      "properties": {
+        "x": {
+          "default": 0.1,
+          "description": "Series reactance in per unit (p.u.), using `s_nom` as base power of the transformer. Overwritten if `type` is specified.",
+          "type": "number"
+        },
+        "s_nom": {
+          "default": 2000.0,
+          "description": "Limit of apparent power which can pass through branch (MVA). Overwritten if `type` is specified.",
+          "type": "number"
+        },
+        "type": {
+          "default": "",
+          "description": "Specifies transformer types to assume for the transformers of the ENTSO-E grid extraction.",
+          "type": "string"
+        }
+      }
+    },
+    "load": {
+      "description": "Configuration for `load` settings.",
+      "properties": {
+        "fill_gaps": {
+          "description": "Configuration for `load.fill_gaps` settings.",
+          "properties": {
+            "enable": {
+              "default": true,
+              "description": "Whether to fill gaps using interpolation for small gaps and time shift for large gaps.",
+              "type": "boolean"
+            },
+            "interpolate_limit": {
+              "default": 3,
+              "description": "Maximum gap size (consecutive nans) which interpolated linearly.",
+              "type": "integer"
+            },
+            "time_shift_for_large_gaps": {
+              "default": "1w",
+              "description": "Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid `pandas` period strings.",
+              "type": "string"
+            }
+          }
+        },
+        "manual_adjustments": {
+          "default": true,
+          "description": "Whether to adjust the load data manually according to the function in `manual_adjustment`.",
+          "type": "boolean"
+        },
+        "scaling_factor": {
+          "default": 1.0,
+          "description": "Global correction factor for the load time series.",
+          "type": "number"
+        },
+        "fixed_year": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "boolean"
+            }
+          ],
+          "default": false,
+          "description": "To specify a fixed year for the load time series that deviates from the snapshots' year."
+        },
+        "supplement_synthetic": {
+          "default": true,
+          "description": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from `Zenodo <https://zenodo.org/records/10820928>`_.",
+          "markdownDescription": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928).",
+          "type": "boolean"
+        },
+        "distribution_key": {
+          "description": "Configuration for `load.distribution_key` settings.",
+          "properties": {
+            "gdp": {
+              "default": 0.6,
+              "description": "Weighting factor for the GDP data in the distribution key.",
+              "type": "number"
+            },
+            "population": {
+              "default": 0.4,
+              "description": "Weighting factor for the population data in the distribution key.",
+              "type": "number"
+            }
+          }
+        }
+      }
+    },
+    "pypsa_eur": {
+      "description": "Configuration for `pypsa_eur` settings.",
+      "properties": {
+        "Bus": {
+          "description": "Bus carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Link": {
+          "description": "Link carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Generator": {
+          "description": "Generator carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "StorageUnit": {
+          "description": "StorageUnit carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "Store": {
+          "description": "Store carriers to keep from PyPSA-Eur.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "energy": {
+      "description": "Configuration for `energy` settings.",
+      "properties": {
+        "energy_totals_year": {
+          "default": 2019,
+          "description": "The year for the sector energy use. The year must be available in the Eurostat report.",
+          "type": "integer"
+        },
+        "base_emissions_year": {
+          "default": 1990,
+          "description": "The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_.",
+          "markdownDescription": "The base year for the sector emissions. See [European Environment Agency (EEA) ](https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16).",
+          "type": "integer"
+        },
+        "emissions": {
+          "default": "CO2",
+          "description": "Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented.",
+          "type": "string"
+        }
+      }
+    },
+    "biomass": {
+      "description": "Configuration for `biomass` settings.",
+      "properties": {
+        "year": {
+          "default": 2030,
+          "description": "Year for which to retrieve biomass potential according to the assumptions of the `JRC ENSPRESO <https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f>`_.",
+          "markdownDescription": "Year for which to retrieve biomass potential according to the assumptions of the [JRC ENSPRESO ](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f).",
+          "maximum": 2050,
+          "minimum": 2010,
+          "type": "integer"
+        },
+        "scenario": {
+          "default": "ENS_Med",
+          "description": "Scenario for which to retrieve biomass potential. The scenario definition can be seen in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`_.",
+          "markdownDescription": "Scenario for which to retrieve biomass potential. The scenario definition can be seen in [ENSPRESO_BIOMASS ](https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx).",
+          "enum": [
+            "ENS_Low",
+            "ENS_Med",
+            "ENS_High"
+          ],
+          "type": "string"
+        },
+        "classes": {
+          "description": "Configuration for `biomass.classes` settings.",
+          "properties": {
+            "solid biomass": {
+              "description": "The comodity that are included as solid biomass.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "not included": {
+              "description": "The comodity that are not included as a biomass potential.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "biogas": {
+              "description": "The comodity that are included as biogas.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "municipal solid waste": {
+              "description": "The commodities that are included as municipal solid waste.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "share_unsustainable_use_retained": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Share of unsustainable biomass use retained using primary production of Eurostat data as reference.",
+          "type": "object"
+        },
+        "share_sustainable_potential_available": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Share determines phase-in of ENSPRESO biomass potentials.",
+          "type": "object"
+        }
+      }
+    },
+    "solar_thermal": {
+      "description": "Configuration for `solar_thermal` settings.",
+      "properties": {
+        "clearsky_model": {
+          "default": "simple",
+          "description": "Type of clearsky model for diffuse irradiation.",
+          "enum": [
+            "simple",
+            "enhanced"
+          ],
+          "type": "string"
+        },
+        "orientation": {
+          "description": "Configuration for `solar_thermal.orientation` settings.",
+          "properties": {
+            "slope": {
+              "default": 45.0,
+              "description": "The angle between the ground and the panels.",
+              "type": "number"
+            },
+            "azimuth": {
+              "default": 180.0,
+              "description": "The angle between the North and the sun with panels on the local horizon.",
+              "type": "number"
+            }
+          }
+        },
+        "cutout": {
+          "default": "default",
+          "description": "Name of the cutout to use for solar thermal calculations.",
+          "type": "string"
+        }
+      }
+    },
+    "existing_capacities": {
+      "description": "Configuration for `existing_capacities` settings.",
+      "properties": {
+        "grouping_years_power": {
+          "description": "Intervals to group existing capacities for power.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "grouping_years_heat": {
+          "description": "Intervals to group existing capacities for heat.",
+          "items": {
+            "type": "integer"
+          },
+          "type": "array"
+        },
+        "threshold_capacity": {
+          "default": 10,
+          "description": "Capacities (MW) of generators and links below threshold are removed during add_existing_capacities.",
+          "type": "number"
+        },
+        "default_heating_lifetime": {
+          "default": 20,
+          "description": "Default lifetime for heating technologies (years).",
+          "type": "integer"
+        },
+        "conventional_carriers": {
+          "description": "List of conventional power plants to include in the sectoral network.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      }
+    },
+    "sector": {
+      "description": "Configuration for `sector` settings.",
+      "properties": {
+        "transport": {
+          "default": true,
+          "description": "Flag to include transport sector.",
+          "type": "boolean"
+        },
+        "heating": {
+          "default": true,
+          "description": "Flag to include heating sector.",
+          "type": "boolean"
+        },
+        "biomass": {
+          "default": true,
+          "description": "Flag to include biomass sector.",
+          "type": "boolean"
+        },
+        "industry": {
+          "default": true,
+          "description": "Flag to include industry sector.",
+          "type": "boolean"
+        },
+        "shipping": {
+          "default": true,
+          "description": "Flag to include shipping sector.",
+          "type": "boolean"
+        },
+        "aviation": {
+          "default": true,
+          "description": "Flag to include aviation sector.",
+          "type": "boolean"
+        },
+        "agriculture": {
+          "default": true,
+          "description": "Flag to include agriculture sector.",
+          "type": "boolean"
+        },
+        "fossil_fuels": {
+          "default": true,
+          "description": "Flag to include imports of fossil fuels.",
+          "type": "boolean"
+        },
+        "district_heating": {
+          "description": "Configuration for `sector.district_heating` settings.",
+          "properties": {
+            "potential": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "type": "object"
+                }
+              ],
+              "default": 0.6,
+              "description": "Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries."
+            },
+            "progress": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating.",
+              "type": "object"
+            },
+            "district_heating_loss": {
+              "default": 0.15,
+              "description": "Share increase in district heat demand in urban central due to heat losses.",
+              "type": "number"
+            },
+            "supply_temperature_approximation": {
+              "additionalProperties": true,
+              "description": "Supply temperature approximation settings.",
+              "type": "object"
+            },
+            "ptes": {
+              "additionalProperties": true,
+              "description": "Pit thermal energy storage settings.",
+              "type": "object"
+            },
+            "ates": {
+              "additionalProperties": true,
+              "description": "Aquifer thermal energy storage settings.",
+              "type": "object"
+            },
+            "heat_source_cooling": {
+              "default": 6,
+              "description": "Cooling of heat source for heat pumps.",
+              "type": "number"
+            },
+            "heat_pump_cop_approximation": {
+              "additionalProperties": true,
+              "description": "Heat pump COP approximation settings.",
+              "type": "object"
+            },
+            "limited_heat_sources": {
+              "additionalProperties": true,
+              "description": "Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in `Manz et al. 2024 <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`_.",
+              "markdownDescription": "Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in [Manz et al. 2024 ](https://www.sciencedirect.com/science/article/pii/S0960148124001769).",
+              "type": "object"
+            },
+            "direct_utilisation_heat_sources": {
+              "description": "List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. `geothermal`).",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "temperature_limited_stores": {
+              "description": "List of names for stores used as limited heat sources.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "dh_areas": {
+              "additionalProperties": true,
+              "description": "District heating areas settings.",
+              "type": "object"
+            }
+          }
+        },
+        "heat_pump_sources": {
+          "additionalProperties": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "description": "Heat pump sources by area.",
+          "type": "object"
+        },
+        "residential_heat": {
+          "description": "Configuration for `sector.residential_heat` settings.",
+          "properties": {
+            "dsm": {
+              "description": "Configuration for `sector.residential_heat.dsm` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage.",
+                  "type": "boolean"
+                },
+                "direction": {
+                  "description": "'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again.",
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array"
+                },
+                "restriction_value": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility.",
+                  "type": "object"
+                },
+                "restriction_time": {
+                  "description": "Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm.",
+                  "items": {
+                    "type": "integer"
+                  },
+                  "type": "array"
+                }
+              }
+            }
+          }
+        },
+        "cluster_heat_buses": {
+          "default": true,
+          "description": "Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_ to one to save memory.",
+          "markdownDescription": "Cluster residential and service heat buses in [prepare_sector_network.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py) to one to save memory.",
+          "type": "boolean"
+        },
+        "heat_demand_cutout": {
+          "default": "default",
+          "description": "Heat demand cutout.",
+          "type": "string"
+        },
+        "bev_dsm_restriction_value": {
+          "default": 0.8,
+          "description": "Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM.",
+          "markdownDescription": "Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in [build_transport_demand.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py). Set to 0 for no restriction on BEV DSM.",
+          "type": "number"
+        },
+        "bev_dsm_restriction_time": {
+          "default": 7,
+          "description": "Time at which SOC of BEV has to be dsm_restriction_value.",
+          "type": "number"
+        },
+        "transport_heating_deadband_upper": {
+          "default": 20.0,
+          "description": "The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases.",
+          "type": "number"
+        },
+        "transport_heating_deadband_lower": {
+          "default": 15.0,
+          "description": "The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases.",
+          "type": "number"
+        },
+        "ICE_lower_degree_factor": {
+          "default": 0.375,
+          "description": "Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.",
+          "type": "number"
+        },
+        "ICE_upper_degree_factor": {
+          "default": 1.6,
+          "description": "Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.",
+          "type": "number"
+        },
+        "EV_lower_degree_factor": {
+          "default": 0.98,
+          "description": "Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.",
+          "type": "number"
+        },
+        "EV_upper_degree_factor": {
+          "default": 0.63,
+          "description": "Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.",
+          "type": "number"
+        },
+        "bev_dsm": {
+          "default": true,
+          "description": "Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM).",
+          "type": "boolean"
+        },
+        "bev_dsm_availability": {
+          "default": 0.5,
+          "description": "The share for battery electric vehicles (BEV) that are able to do demand side management (DSM).",
+          "type": "number"
+        },
+        "bev_energy": {
+          "default": 0.05,
+          "description": "The average size of battery electric vehicles (BEV) in MWh.",
+          "type": "number"
+        },
+        "bev_charge_efficiency": {
+          "default": 0.9,
+          "description": "Battery electric vehicles (BEV) charge and discharge efficiency.",
+          "type": "number"
+        },
+        "bev_charge_rate": {
+          "default": 0.011,
+          "description": "The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.",
+          "type": "number"
+        },
+        "bev_avail_max": {
+          "default": 0.95,
+          "description": "The maximum share plugged-in availability for passenger electric vehicles.",
+          "type": "number"
+        },
+        "bev_avail_mean": {
+          "default": 0.8,
+          "description": "The average share plugged-in availability for passenger electric vehicles.",
+          "type": "number"
+        },
+        "v2g": {
+          "default": true,
+          "description": "Allows feed-in to grid from EV battery. This is only enabled if BEV demand-side management is enabled, and the share of vehicles participating is V2G is given by `bev_dsm_availability`.",
+          "type": "boolean"
+        },
+        "land_transport_fuel_cell_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of vehicles that uses fuel cells in a given year.",
+          "type": "object"
+        },
+        "land_transport_electric_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of vehicles that uses electric vehicles (EV) in a given year.",
+          "type": "object"
+        },
+        "land_transport_ice_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.",
+          "type": "object"
+        },
+        "transport_electric_efficiency": {
+          "default": 53.19,
+          "description": "The conversion efficiencies of electric vehicles in transport.",
+          "type": "number"
+        },
+        "transport_fuel_cell_efficiency": {
+          "default": 30.003,
+          "description": "The H2 conversion efficiencies of fuel cells in transport.",
+          "type": "number"
+        },
+        "transport_ice_efficiency": {
+          "default": 16.0712,
+          "description": "The oil conversion efficiencies of internal combustion engine (ICE) in transport.",
+          "type": "number"
+        },
+        "agriculture_machinery_electric_share": {
+          "default": 0.5,
+          "description": "The share for agricultural machinery that uses electricity.",
+          "type": "number"
+        },
+        "agriculture_machinery_oil_share": {
+          "default": 0.5,
+          "description": "The share for agricultural machinery that uses oil.",
+          "type": "number"
+        },
+        "agriculture_machinery_fuel_efficiency": {
+          "default": 0.7,
+          "description": "The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.",
+          "type": "number"
+        },
+        "agriculture_machinery_electric_efficiency": {
+          "default": 0.3,
+          "description": "The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_MWh_H2": {
+          "default": 0.8787,
+          "description": "The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.",
+          "markdownDescription": "The energy amount of the produced methanol per energy amount of hydrogen. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 64.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_tCO2": {
+          "default": 4.0321,
+          "description": "The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 66.",
+          "markdownDescription": "The energy amount of the produced methanol per ton of CO2. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 66.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_MWh_e": {
+          "default": 3.6907,
+          "description": "The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.",
+          "markdownDescription": "The energy amount of the produced methanol per energy amount of electricity. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 64.",
+          "type": "number"
+        },
+        "shipping_hydrogen_liquefaction": {
+          "default": false,
+          "description": "Whether to include liquefaction costs for hydrogen demand in shipping.",
+          "type": "boolean"
+        },
+        "shipping_hydrogen_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of ships powered by hydrogen in a given year.",
+          "type": "object"
+        },
+        "shipping_methanol_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of ships powered by methanol in a given year.",
+          "type": "object"
+        },
+        "shipping_oil_share": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The share of ships powered by oil in a given year.",
+          "type": "object"
+        },
+        "shipping_methanol_efficiency": {
+          "default": 0.46,
+          "description": "The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_.",
+          "markdownDescription": "The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the [IEA ](https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf).",
+          "type": "number"
+        },
+        "shipping_oil_efficiency": {
+          "default": 0.4,
+          "description": "The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011.",
+          "type": "number"
+        },
+        "aviation_demand_factor": {
+          "default": 1.0,
+          "description": "The proportion of demand for aviation compared to today's consumption.",
+          "type": "number"
+        },
+        "HVC_demand_factor": {
+          "default": 1.0,
+          "description": "The proportion of demand for high-value chemicals compared to today's consumption.",
+          "type": "number"
+        },
+        "time_dep_hp_cop": {
+          "default": true,
+          "description": "Consider the time dependent coefficient of performance (COP) of the heat pump.",
+          "type": "boolean"
+        },
+        "heat_pump_sink_T_individual_heating": {
+          "default": 55.0,
+          "description": "The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings.",
+          "type": "number"
+        },
+        "reduce_space_heat_exogenously": {
+          "default": true,
+          "description": "Influence on space heating demand by a certain factor (applied before losses in district heating).",
+          "type": "boolean"
+        },
+        "reduce_space_heat_exogenously_factor": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_.",
+          "markdownDescription": "A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the [Eurocalc Homes and buildings decarbonization scenario ](http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221).",
+          "type": "object"
+        },
+        "retrofitting": {
+          "description": "Configuration for `sector.retrofitting` settings.",
+          "properties": {
+            "retro_endogen": {
+              "default": false,
+              "description": "Add retrofitting as an endogenous system which co-optimise space heat savings.",
+              "type": "boolean"
+            },
+            "cost_factor": {
+              "default": 1.0,
+              "description": "Weight costs for building renovation.",
+              "type": "number"
+            },
+            "interest_rate": {
+              "default": 0.04,
+              "description": "The interest rate for investment in building components.",
+              "type": "number"
+            },
+            "annualise_cost": {
+              "default": true,
+              "description": "Annualise the investment costs of retrofitting.",
+              "type": "boolean"
+            },
+            "tax_weighting": {
+              "default": false,
+              "description": "Weight the costs of retrofitting depending on taxes in countries.",
+              "type": "boolean"
+            },
+            "construction_index": {
+              "default": true,
+              "description": "Weight the costs of retrofitting depending on labour/material costs per country.",
+              "type": "boolean"
+            }
+          }
+        },
+        "tes": {
+          "default": true,
+          "description": "Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES).",
+          "type": "boolean"
+        },
+        "boilers": {
+          "default": true,
+          "description": "Add option for transforming gas into heat using gas boilers.",
+          "type": "boolean"
+        },
+        "resistive_heaters": {
+          "default": true,
+          "description": "Add option for transforming electricity into heat using resistive heaters (independently from gas boilers).",
+          "type": "boolean"
+        },
+        "oil_boilers": {
+          "default": false,
+          "description": "Add option for transforming oil into heat using boilers.",
+          "type": "boolean"
+        },
+        "biomass_boiler": {
+          "default": true,
+          "description": "Add option for transforming biomass into heat using boilers.",
+          "type": "boolean"
+        },
+        "overdimension_heat_generators": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "Add option for overdimensioning heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1.",
+          "type": "object"
+        },
+        "chp": {
+          "description": "Configuration for `sector.chp` settings.",
+          "properties": {
+            "enable": {
+              "default": true,
+              "description": "Add option for using Combined Heat and Power (CHP).",
+              "type": "boolean"
+            },
+            "fuel": {
+              "description": "Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are \"gas\", \"oil\", \"methanol\", \"lignite\", \"coal\" as well as \"solid biomass\". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "micro_chp": {
+              "default": false,
+              "description": "Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas.",
+              "type": "boolean"
+            }
+          }
+        },
+        "solar_thermal": {
+          "default": true,
+          "description": "Add option for using solar thermal to generate heat.",
+          "type": "boolean"
+        },
+        "solar_cf_correction": {
+          "default": 0.788457,
+          "description": "The correction factor for the value provided by the solar thermal profile calculations.",
+          "type": "number"
+        },
+        "methanation": {
+          "default": true,
+          "description": "Add option for transforming hydrogen and CO2 into methane using methanation.",
+          "type": "boolean"
+        },
+        "coal_cc": {
+          "default": false,
+          "description": "Add option for coal CHPs with carbon capture.",
+          "type": "boolean"
+        },
+        "dac": {
+          "default": true,
+          "description": "Add option for Direct Air Capture (DAC).",
+          "type": "boolean"
+        },
+        "co2_vent": {
+          "default": false,
+          "description": "Add option for vent out CO2 from storages to the atmosphere.",
+          "type": "boolean"
+        },
+        "heat_vent": {
+          "additionalProperties": {
+            "type": "boolean"
+          },
+          "description": "Heat venting by area.",
+          "type": "object"
+        },
+        "marginal_cost_heat_vent": {
+          "default": 0.02,
+          "description": "The marginal cost of heat-venting in all heating systems.",
+          "type": "number"
+        },
+        "allam_cycle_gas": {
+          "default": false,
+          "description": "Add option to include `Allam cycle gas power plants <https://en.wikipedia.org/wiki/Allam_power_cycle>`_.",
+          "markdownDescription": "Add option to include [Allam cycle gas power plants ](https://en.wikipedia.org/wiki/Allam_power_cycle).",
+          "type": "boolean"
+        },
+        "hydrogen_fuel_cell": {
+          "default": true,
+          "description": "Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs.",
+          "type": "boolean"
+        },
+        "hydrogen_turbine": {
+          "default": true,
+          "description": "Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs.",
+          "type": "boolean"
+        },
+        "SMR": {
+          "default": true,
+          "description": "Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR).",
+          "type": "boolean"
+        },
+        "SMR_cc": {
+          "default": true,
+          "description": "Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR) and Carbon Capture (CC).",
+          "type": "boolean"
+        },
+        "regional_oil_demand": {
+          "default": true,
+          "description": "Spatially resolve oil demand. Set to true if regional CO2 constraints needed.",
+          "type": "boolean"
+        },
+        "regional_coal_demand": {
+          "default": false,
+          "description": "Regional coal demand.",
+          "type": "boolean"
+        },
+        "regional_co2_sequestration_potential": {
+          "additionalProperties": true,
+          "description": "Add option for regionally-resolved geological carbon dioxide sequestration potentials based on `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`_.",
+          "markdownDescription": "Add option for regionally-resolved geological carbon dioxide sequestration potentials based on [CO2StoP ](https://setis.ec.europa.eu/european-co2-storage-database_en).",
+          "type": "object"
+        },
+        "co2_sequestration_potential": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The potential of sequestering CO2 in Europe per year and investment period.",
+          "type": "object"
+        },
+        "co2_sequestration_cost": {
+          "default": 30,
+          "description": "The cost of sequestering a ton of CO2 (currency/tCO2).",
+          "type": "number"
+        },
+        "co2_sequestration_lifetime": {
+          "default": 50,
+          "description": "The lifetime of a CO2 sequestration site (years).",
+          "type": "integer"
+        },
+        "co2_spatial": {
+          "default": true,
+          "description": "Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites.",
+          "type": "boolean"
+        },
+        "co2_network": {
+          "default": true,
+          "description": "Add option for planning a new carbon dioxide transmission network.",
+          "type": "boolean"
+        },
+        "co2_network_cost_factor": {
+          "default": 1,
+          "description": "The cost factor for the capital cost of the carbon dioxide transmission network.",
+          "type": "number"
+        },
+        "cc_fraction": {
+          "default": 0.9,
+          "description": "The default fraction of CO2 captured with post-combustion capture.",
+          "type": "number"
+        },
+        "hydrogen_underground_storage": {
+          "default": true,
+          "description": "Add options for storing hydrogen underground. Storage potential depends regionally.",
+          "type": "boolean"
+        },
+        "hydrogen_underground_storage_locations": {
+          "description": "The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "methanol": {
+          "description": "Configuration for `sector.methanol` settings.",
+          "properties": {
+            "regional_methanol_demand": {
+              "default": false,
+              "description": "Spatially resolve methanol demand. Set to true if regional CO2 constraints needed.",
+              "type": "boolean"
+            },
+            "methanol_reforming": {
+              "default": false,
+              "description": "Add methanol reforming.",
+              "type": "boolean"
+            },
+            "methanol_reforming_cc": {
+              "default": false,
+              "description": "Add methanol reforming with carbon capture.",
+              "type": "boolean"
+            },
+            "methanol_to_kerosene": {
+              "default": false,
+              "description": "Add methanol to kerosene.",
+              "type": "boolean"
+            },
+            "methanol_to_power": {
+              "additionalProperties": {
+                "type": "boolean"
+              },
+              "description": "Add different methanol to power technologies.",
+              "type": "object"
+            },
+            "biomass_to_methanol": {
+              "default": true,
+              "description": "Add biomass to methanol.",
+              "type": "boolean"
+            },
+            "biomass_to_methanol_cc": {
+              "default": false,
+              "description": "Add biomass to methanol with carbon capture.",
+              "type": "boolean"
+            }
+          }
+        },
+        "ammonia": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "string"
+            }
+          ],
+          "default": true,
+          "description": "Add ammonia as a carrier. It can be either true (copperplated NH3), false (no NH3 carrier) or \"regional\" (regionalised NH3 without network)."
+        },
+        "min_part_load_electrolysis": {
+          "default": 0,
+          "description": "The minimum unit dispatch (`p_min_pu`) for electrolysis.",
+          "type": "number"
+        },
+        "min_part_load_fischer_tropsch": {
+          "default": 0.5,
+          "description": "The minimum unit dispatch (`p_min_pu`) for the Fischer-Tropsch process.",
+          "type": "number"
+        },
+        "min_part_load_methanolisation": {
+          "default": 0.3,
+          "description": "The minimum unit dispatch (`p_min_pu`) for the methanolisation process.",
+          "type": "number"
+        },
+        "min_part_load_methanation": {
+          "default": 0.3,
+          "description": "Minimum part load methanation.",
+          "type": "number"
+        },
+        "use_fischer_tropsch_waste_heat": {
+          "default": 0.25,
+          "description": "Add option for using waste heat of Fischer Tropsch in district heating networks.",
+          "type": "number"
+        },
+        "use_haber_bosch_waste_heat": {
+          "default": 0.25,
+          "description": "Use Haber-Bosch waste heat.",
+          "type": "number"
+        },
+        "use_methanolisation_waste_heat": {
+          "default": 0.25,
+          "description": "Use methanolisation waste heat.",
+          "type": "number"
+        },
+        "use_methanation_waste_heat": {
+          "default": 0.25,
+          "description": "Use methanation waste heat.",
+          "type": "number"
+        },
+        "use_fuel_cell_waste_heat": {
+          "default": 1,
+          "description": "Add option for using waste heat of fuel cells in district heating networks.",
+          "type": "number"
+        },
+        "use_electrolysis_waste_heat": {
+          "default": 0.25,
+          "description": "Add option for using waste heat of electrolysis in district heating networks.",
+          "type": "number"
+        },
+        "electricity_transmission_grid": {
+          "default": true,
+          "description": "Switch for enabling/disabling the electricity transmission grid.",
+          "type": "boolean"
+        },
+        "electricity_distribution_grid": {
+          "default": true,
+          "description": "Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.",
+          "type": "boolean"
+        },
+        "electricity_distribution_grid_cost_factor": {
+          "default": 1.0,
+          "description": "Multiplies the investment cost of the electricity distribution grid.",
+          "type": "number"
+        },
+        "electricity_grid_connection": {
+          "default": true,
+          "description": "Add the cost of electricity grid connection for onshore wind and solar.",
+          "type": "boolean"
+        },
+        "transmission_efficiency": {
+          "description": "Configuration for `sector.transmission_efficiency` settings.",
+          "properties": {
+            "enable": {
+              "description": "Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "DC": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "DC transmission efficiency.",
+              "type": "object"
+            },
+            "H2 pipeline": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "H2 pipeline transmission efficiency.",
+              "type": "object"
+            },
+            "gas pipeline": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Gas pipeline transmission efficiency.",
+              "type": "object"
+            },
+            "electricity distribution grid": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Electricity distribution grid efficiency.",
+              "type": "object"
+            }
+          }
+        },
+        "H2_network": {
+          "default": true,
+          "description": "Add option for new hydrogen pipelines.",
+          "type": "boolean"
+        },
+        "gas_network": {
+          "default": true,
+          "description": "Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well.",
+          "markdownDescription": "Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well.",
+          "type": "boolean"
+        },
+        "H2_retrofit": {
+          "default": false,
+          "description": "Add option for retrofiting existing pipelines to transport hydrogen.",
+          "type": "boolean"
+        },
+        "H2_retrofit_capacity_per_CH4": {
+          "default": 0.6,
+          "description": "The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.",
+          "markdownDescription": "The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The [European Hydrogen Backbone (April, 2020) p.15 ](https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf) 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.",
+          "type": "number"
+        },
+        "gas_network_connectivity_upgrade": {
+          "default": 1,
+          "description": "The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network.",
+          "markdownDescription": "The number of desired edge connectivity (k) in the length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) used for the gas network.",
+          "type": "number"
+        },
+        "gas_distribution_grid": {
+          "default": true,
+          "description": "Add a gas distribution grid.",
+          "type": "boolean"
+        },
+        "gas_distribution_grid_cost_factor": {
+          "default": 1.0,
+          "description": "Multiplier for the investment cost of the gas distribution grid.",
+          "type": "number"
+        },
+        "biomass_spatial": {
+          "default": true,
+          "description": "Add option for resolving biomass demand regionally.",
+          "type": "boolean"
+        },
+        "biomass_transport": {
+          "default": false,
+          "description": "Add option for transporting solid biomass between nodes.",
+          "type": "boolean"
+        },
+        "biogas_upgrading": {
+          "default": true,
+          "description": "Biogas upgrading.",
+          "type": "boolean"
+        },
+        "biogas_upgrading_cc": {
+          "default": false,
+          "description": "Add option to capture CO2 from biomass upgrading.",
+          "type": "boolean"
+        },
+        "conventional_generation": {
+          "additionalProperties": {
+            "type": "string"
+          },
+          "description": "Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.",
+          "type": "object"
+        },
+        "biomass_to_liquid": {
+          "default": true,
+          "description": "Add option for transforming solid biomass into liquid fuel with the same properties as oil.",
+          "type": "boolean"
+        },
+        "biomass_to_liquid_cc": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into liquid fuel with the same properties as oil with carbon capture.",
+          "type": "boolean"
+        },
+        "electrobiofuels": {
+          "default": true,
+          "description": "Electrobiofuels.",
+          "type": "boolean"
+        },
+        "biosng": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into synthesis gas with the same properties as natural gas.",
+          "type": "boolean"
+        },
+        "biosng_cc": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into synthesis gas with the same properties as natural gas with carbon capture.",
+          "type": "boolean"
+        },
+        "bioH2": {
+          "default": false,
+          "description": "Add option for transforming solid biomass into hydrogen with carbon capture.",
+          "type": "boolean"
+        },
+        "municipal_solid_waste": {
+          "default": false,
+          "description": "Add option for municipal solid waste.",
+          "type": "boolean"
+        },
+        "limit_max_growth": {
+          "description": "Configuration for `sector.limit_max_growth` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to limit the maximum growth of a carrier.",
+              "type": "boolean"
+            },
+            "factor": {
+              "default": 1.3,
+              "description": "The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth).",
+              "type": "number"
+            },
+            "max_growth": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "The historic maximum growth of a carrier.",
+              "type": "object"
+            },
+            "max_relative_growth": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "The historic maximum relative growth of a carrier.",
+              "type": "object"
+            }
+          }
+        },
+        "enhanced_geothermal": {
+          "description": "Configuration for `sector.enhanced_geothermal` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to include Enhanced Geothermal Systems.",
+              "type": "boolean"
+            },
+            "flexible": {
+              "default": true,
+              "description": "Add option for flexible operation (see Ricks et al. 2024).",
+              "type": "boolean"
+            },
+            "max_hours": {
+              "default": 240,
+              "description": "The maximum hours the reservoir can be charged under flexible operation.",
+              "type": "integer"
+            },
+            "max_boost": {
+              "default": 0.25,
+              "description": "The maximum boost in power output under flexible operation.",
+              "type": "number"
+            },
+            "var_cf": {
+              "default": true,
+              "description": "Add option for variable capacity factor (see Ricks et al. 2024).",
+              "type": "boolean"
+            },
+            "sustainability_factor": {
+              "default": 0.0025,
+              "description": "Share of sourced heat that is replenished by the earth's core (see details in `build_egs_potentials.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py>`_).",
+              "markdownDescription": "Share of sourced heat that is replenished by the earth's core (see details in [build_egs_potentials.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py)).",
+              "type": "number"
+            }
+          }
+        },
+        "solid_biomass_import": {
+          "description": "Configuration for `sector.solid_biomass_import` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to include solid biomass imports.",
+              "type": "boolean"
+            },
+            "price": {
+              "default": 54,
+              "description": "Price for importing solid biomass (currency/MWh).",
+              "type": "number"
+            },
+            "max_amount": {
+              "default": 1390,
+              "description": "Maximum solid biomass import potential (TWh).",
+              "type": "number"
+            },
+            "upstream_emissions_factor": {
+              "default": 0.1,
+              "description": "Upstream emissions of solid biomass imports.",
+              "type": "number"
+            }
+          }
+        },
+        "imports": {
+          "description": "Configuration for `sector.imports` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add option to include renewable energy imports.",
+              "type": "boolean"
+            },
+            "limit": {
+              "default": null,
+              "description": "Maximum allowed renewable energy imports (TWh).",
+              "type": "number"
+            },
+            "limit_sense": {
+              "default": "<=",
+              "description": "Sense of the limit.",
+              "type": "string"
+            },
+            "price": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "Price for importing renewable energy of carrier.",
+              "type": "object"
+            }
+          }
+        }
+      }
+    },
+    "industry": {
+      "description": "Configuration for `industry` settings.",
+      "properties": {
+        "St_primary_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6.",
+          "type": "object"
+        },
+        "DRI_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of the primary route DRI + EAF.",
+          "type": "object"
+        },
+        "H2_DRI": {
+          "default": 1.7,
+          "description": "The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_.",
+          "markdownDescription": "The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in [Vogl et al (2018) ](https://doi.org/10.1016/j.jclepro.2018.08.279).",
+          "type": "number"
+        },
+        "elec_DRI": {
+          "default": 0.322,
+          "description": "The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_.",
+          "markdownDescription": "The electricity consumed in Direct Reduced Iron (DRI) shaft. From [HYBRIT brochure ](https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf).",
+          "type": "number"
+        },
+        "Al_primary_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4.",
+          "type": "object"
+        },
+        "MWh_NH3_per_tNH3": {
+          "default": 5.166,
+          "description": "The energy amount per ton of ammonia (LHV).",
+          "type": "number"
+        },
+        "MWh_CH4_per_tNH3_SMR": {
+          "default": 10.8,
+          "description": "The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_.",
+          "markdownDescription": "The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from [Center for European Policy Studies (2008) ](https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf).",
+          "type": "number"
+        },
+        "MWh_elec_per_tNH3_SMR": {
+          "default": 0.7,
+          "description": "The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3.",
+          "type": "number"
+        },
+        "MWh_H2_per_tNH3_electrolysis": {
+          "default": 5.93,
+          "description": "The energy amount of hydrogen needed to produce a ton of ammonia using Haber\u2013Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy).",
+          "markdownDescription": "The energy amount of hydrogen needed to produce a ton of ammonia using Haber\u2013Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy).",
+          "type": "number"
+        },
+        "MWh_elec_per_tNH3_electrolysis": {
+          "default": 0.2473,
+          "description": "The energy amount of electricity needed to produce a ton of ammonia using Haber\u2013Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB).",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of ammonia using Haber\u2013Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Table 13 (air separation and HB).",
+          "type": "number"
+        },
+        "MWh_NH3_per_MWh_H2_cracker": {
+          "default": 1.46,
+          "description": "The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker.",
+          "type": "number"
+        },
+        "NH3_process_emissions": {
+          "default": 24.5,
+          "description": "The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28.",
+          "type": "number"
+        },
+        "petrochemical_process_emissions": {
+          "default": 25.5,
+          "description": "The emission of petrochemical production. From UNFCCC for 2015 for EU28.",
+          "type": "number"
+        },
+        "HVC_primary_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of high value chemicals (HVC) produced via primary route.",
+          "type": "object"
+        },
+        "HVC_mechanical_recycling_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of high value chemicals (HVC) produced using mechanical recycling.",
+          "type": "object"
+        },
+        "HVC_chemical_recycling_fraction": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of high value chemicals (HVC) produced using chemical recycling.",
+          "type": "object"
+        },
+        "HVC_environment_sequestration_fraction": {
+          "default": 0.0,
+          "description": "The fraction of high value chemicals (HVC) put into landfill resulting in additional carbon sequestration. The default value is 0.",
+          "type": "number"
+        },
+        "waste_to_energy": {
+          "default": false,
+          "description": "Switch to enable expansion of waste to energy CHPs for conversion of plastics. Default is false.",
+          "type": "boolean"
+        },
+        "waste_to_energy_cc": {
+          "default": false,
+          "description": "Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false.",
+          "type": "boolean"
+        },
+        "sector_ratios_fraction_future": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "The fraction of total progress in fuel and process switching achieved in the industry sector.",
+          "type": "object"
+        },
+        "basic_chemicals_without_NH3_production_today": {
+          "default": 69.0,
+          "description": "The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3).",
+          "type": "number"
+        },
+        "HVC_production_today": {
+          "default": 52.0,
+          "description": "The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107.",
+          "markdownDescription": "The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Figure 16, page 107.",
+          "type": "number"
+        },
+        "MWh_elec_per_tHVC_mechanical_recycling": {
+          "default": 0.547,
+          "description": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of [Meys et al (2020) ](https://doi.org/10.1016/j.resconrec.2020.105010), Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.",
+          "type": "number"
+        },
+        "MWh_elec_per_tHVC_chemical_recycling": {
+          "default": 6.9,
+          "description": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From [Material Economics (2019) ](https://materialeconomics.com/latest-updates/industrial-transformation-2050), page 125.",
+          "type": "number"
+        },
+        "chlorine_production_today": {
+          "default": 9.58,
+          "description": "The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43.",
+          "markdownDescription": "The amount of chlorine produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 7, page 43.",
+          "type": "number"
+        },
+        "MWh_elec_per_tCl": {
+          "default": 3.6,
+          "description": "The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of chlorine. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 6 page 43.",
+          "type": "number"
+        },
+        "MWh_H2_per_tCl": {
+          "default": -0.9372,
+          "description": "The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43.",
+          "markdownDescription": "The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 43.",
+          "type": "number"
+        },
+        "methanol_production_today": {
+          "default": 1.5,
+          "description": "The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62.",
+          "markdownDescription": "The amount of methanol produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 62.",
+          "type": "number"
+        },
+        "MWh_elec_per_tMeOH": {
+          "default": 0.167,
+          "description": "The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65.",
+          "markdownDescription": "The energy amount of electricity needed to produce a ton of methanol. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65.",
+          "type": "number"
+        },
+        "MWh_CH4_per_tMeOH": {
+          "default": 10.25,
+          "description": "The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65.",
+          "markdownDescription": "The energy amount of methane needed to produce a ton of methanol. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65.",
+          "type": "number"
+        },
+        "MWh_MeOH_per_tMeOH": {
+          "default": 5.528,
+          "description": "The energy amount per ton of methanol (LHV). From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 74.",
+          "markdownDescription": "The energy amount per ton of methanol (LHV). From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 74.",
+          "type": "number"
+        },
+        "hotmaps_locate_missing": {
+          "default": false,
+          "description": "Locate industrial sites without valid locations based on city and countries.",
+          "type": "boolean"
+        },
+        "reference_year": {
+          "default": 2019,
+          "description": "The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
+          "markdownDescription": "The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001).",
+          "type": "integer"
+        },
+        "oil_refining_emissions": {
+          "default": 0.013,
+          "description": "The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar.",
+          "type": "number"
+        }
+      }
+    },
+    "costs": {
+      "description": "Configuration for `costs` settings.",
+      "properties": {
+        "year": {
+          "default": 2050,
+          "description": "Year for which to retrieve cost assumptions of `data/costs/primary/<version>/costs_<year>.csv`.",
+          "type": "integer"
+        },
+        "social_discountrate": {
+          "default": 0.02,
+          "description": "Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%.",
+          "type": "number"
+        },
+        "fill_values": {
+          "description": "Configuration for `costs.fill_values` settings.",
+          "properties": {
+            "FOM": {
+              "default": 0,
+              "description": "Default fixed operation and maintenance cost.",
+              "type": "number"
+            },
+            "VOM": {
+              "default": 0,
+              "description": "Default variable operation and maintenance cost.",
+              "type": "number"
+            },
+            "efficiency": {
+              "default": 1,
+              "description": "Default efficiency.",
+              "type": "number"
+            },
+            "fuel": {
+              "default": 0,
+              "description": "Default fuel cost.",
+              "type": "number"
+            },
+            "investment": {
+              "default": 0,
+              "description": "Default investment cost.",
+              "type": "number"
+            },
+            "lifetime": {
+              "default": 25,
+              "description": "Default lifetime in years.",
+              "type": "integer"
+            },
+            "CO2 intensity": {
+              "default": 0,
+              "description": "Default CO2 intensity.",
+              "type": "number"
+            },
+            "discount rate": {
+              "default": 0.07,
+              "description": "Default discount rate.",
+              "type": "number"
+            },
+            "standing losses": {
+              "default": 0,
+              "description": "Default standing losses.",
+              "type": "number"
+            }
+          }
+        },
+        "custom_cost_fn": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": "data/custom_costs.csv",
+          "description": "Path to the custom costs file. None if it should not be used. Default `data/custom_costs.csv` contains minor adjustments for stabilising the optimisation results."
+        },
+        "overwrites": {
+          "additionalProperties": {
+            "additionalProperties": {
+              "type": "number"
+            },
+            "type": "object"
+          },
+          "description": "For the given parameters and technologies, assumptions about their parameter are overwritten the corresponding value of the technology.",
+          "type": "object"
+        },
+        "capital_cost": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`.",
+          "type": "object"
+        },
+        "marginal_cost": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`.",
+          "type": "object"
+        },
+        "emission_prices": {
+          "description": "Configuration for `costs.emission_prices` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add cost for a carbon-dioxide price configured in `costs: emission_prices: co2` to `marginal_cost` of generators. Config setting can also be enabled with the keyword `Ep` in the `{opts}` wildcard for electricity-only runs.",
+              "type": "boolean"
+            },
+            "co2": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "type": "object"
+                }
+              ],
+              "default": 0.0,
+              "description": "Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere."
+            },
+            "co2_monthly_prices": {
+              "default": false,
+              "description": "Add monthly cost for a carbon-dioxide price based on historical values built by the rule `build_monthly_prices`.",
+              "type": "boolean"
+            }
+          }
+        }
+      }
+    },
+    "clustering": {
+      "description": "Configuration for `clustering` settings.",
+      "properties": {
+        "mode": {
+          "default": "busmap",
+          "description": "'busmap': Default. 'custom_busmap': Enable the use of custom busmaps in rule `cluster_network`. If activated the rule looks for provided busmaps at ``data/busmaps/base_s_{clusters}_{base_network}.csv`` which should have the same format as ``resources/busmap_base_s_{clusters}.csv``, i.e. the index should contain the buses of ``networks/base_s.nc``. {base_network} is the name of the selected base_network in electricity, e.g. ``gridkit``, ``osm-prebuilt``, or ``osm-raw``. 'administrative': Clusters and indexes the network based on the administrative regions of the countries based on ``nuts3_shapes.geojson`` (level: 1, 2, 3, bz). To activate this, additionally set the ``clusters`` wildcard in ``scenario`` to 'adm'. 'custom_busshapes': Enable the use of custom shapes in rule `cluster_network`. If activated the rule looks for provided busshapes at ``data/busshapes/base_s_{clusters}_{base_network}.geojson``.",
+          "enum": [
+            "busmap",
+            "custom_busmap",
+            "administrative",
+            "custom_busshapes"
+          ],
+          "type": "string"
+        },
+        "administrative": {
+          "description": "Configuration for `clustering.administrative` settings.",
+          "properties": {
+            "level": {
+              "default": 1,
+              "description": "Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level, 'bz': Bidding zones. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1.",
+              "enum": [
+                0,
+                1,
+                2,
+                3,
+                "bz"
+              ]
+            },
+            "countries": {
+              "additionalProperties": {
+                "type": "integer"
+              },
+              "description": "Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`.",
+              "type": "object"
+            }
+          }
+        },
+        "focus_weights": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "type": "object"
+            }
+          ],
+          "default": false,
+          "description": "Optionally specify the focus weights for the clustering of countries. For instance: `DE: 0.8` will distribute 80% of all nodes to Germany and 20% to the rest of the countries. Only applies when mode is set to `busmap`."
+        },
+        "copperplate_regions": {
+          "description": "Optionally specify the regions to copperplate as a list of groups. Each group is a list of region codes that will be connected with infinite capacity lines.",
+          "items": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "type": "array"
+        },
+        "build_bidding_zones": {
+          "description": "Configuration for `clustering.build_bidding_zones` settings.",
+          "properties": {
+            "remove_islands": {
+              "default": false,
+              "description": "Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira.",
+              "type": "boolean"
+            },
+            "aggregate_to_tyndp": {
+              "default": false,
+              "description": "Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape.",
+              "type": "boolean"
+            }
+          }
+        },
+        "simplify_network": {
+          "description": "Configuration for `clustering.simplify_network` settings.",
+          "properties": {
+            "to_substations": {
+              "default": false,
+              "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
+              "type": "boolean"
+            },
+            "exclude_carriers": {
+              "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "remove_stubs": {
+              "default": true,
+              "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
+              "type": "boolean"
+            },
+            "remove_stubs_across_borders": {
+              "default": false,
+              "description": "Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true.",
+              "type": "boolean"
+            }
+          }
+        },
+        "cluster_network": {
+          "description": "Configuration for `clustering.cluster_network` settings.",
+          "properties": {
+            "algorithm": {
+              "default": "kmeans",
+              "description": "Clustering algorithm to use.",
+              "enum": [
+                "kmeans",
+                "hac"
+              ],
+              "type": "string"
+            },
+            "hac_features": {
+              "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            }
+          }
+        },
+        "exclude_carriers": {
+          "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "consider_efficiency_classes": {
+          "default": false,
+          "description": "Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
+          "type": "boolean"
+        },
+        "aggregation_strategies": {
+          "description": "Configuration for `clustering.aggregation_strategies` settings.",
+          "properties": {
+            "generators": {
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator.",
+              "type": "object"
+            },
+            "buses": {
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus.",
+              "type": "object"
+            }
+          }
+        },
+        "temporal": {
+          "description": "Configuration for `clustering.temporal` settings.",
+          "properties": {
+            "resolution_elec": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Resample the time-resolution by averaging over every `n` snapshots in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks."
+            },
+            "resolution_sector": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Resample the time-resolution by averaging over every `n` snapshots in `prepare_sector_network`."
+            }
+          }
+        }
+      }
+    },
+    "adjustments": {
+      "description": "Configuration for top-level adjustments key.",
+      "properties": {
+        "electricity": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "description": "Configuration for adjustment settings (factor/absolute)",
+              "properties": {
+                "factor": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Multiply original value with given factor"
+                },
+                "absolute": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Set attribute to absolute value. Can be also a dictionary with planning horizons as keys."
+                }
+              }
+            }
+          ],
+          "default": false,
+          "description": "Parameter adjustments applied in `prepare_network`."
+        },
+        "sector": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "description": "Configuration for adjustment settings (factor/absolute)",
+              "properties": {
+                "factor": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Multiply original value with given factor"
+                },
+                "absolute": {
+                  "anyOf": [
+                    {
+                      "type": "boolean"
+                    },
+                    {
+                      "additionalProperties": {
+                        "additionalProperties": {
+                          "additionalProperties": {
+                            "anyOf": [
+                              {
+                                "type": "number"
+                              },
+                              {
+                                "additionalProperties": {
+                                  "type": "number"
+                                },
+                                "type": "object"
+                              }
+                            ]
+                          },
+                          "type": "object"
+                        },
+                        "type": "object"
+                      },
+                      "type": "object"
+                    }
+                  ],
+                  "default": false,
+                  "description": "Set attribute to absolute value. Can be also a dictionary with planning horizons as keys."
+                }
+              }
+            }
+          ],
+          "description": "Parameter adjustments applied in `prepare_sector_network`."
+        }
+      }
+    },
+    "solving": {
+      "description": "Configuration for `solving` settings.",
+      "properties": {
+        "options": {
+          "description": "Configuration for `solving.options` settings.",
+          "properties": {
+            "clip_p_max_pu": {
+              "default": 0.01,
+              "description": "To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+              "type": "number"
+            },
+            "load_shedding": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "number"
+                }
+              ],
+              "default": false,
+              "description": "Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh."
+            },
+            "curtailment_mode": {
+              "default": false,
+              "description": "Fixes the dispatch profiles of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to `false`.",
+              "type": "boolean"
+            },
+            "noisy_costs": {
+              "default": true,
+              "description": "Add random noise to marginal cost of generators by :math:`\\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\\mathcal{U}(0.09,0,11)`.",
+              "type": "boolean"
+            },
+            "skip_iterations": {
+              "default": true,
+              "description": "Skip iterating, do not update impedances of branches. Defaults to true.",
+              "type": "boolean"
+            },
+            "rolling_horizon": {
+              "default": false,
+              "description": "Switch for rule `solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks.",
+              "type": "boolean"
+            },
+            "seed": {
+              "default": 123,
+              "description": "Random seed for increased deterministic behaviour.",
+              "type": "integer"
+            },
+            "custom_extra_functionality": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": "../data/custom_extra_functionality.py",
+              "description": "Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to `rules` directory."
+            },
+            "io_api": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Passed to linopy and determines the API used to communicate with the solver. With the `'lp'` and `'mps'` options linopy passes a file to the solver; with the `'direct'` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance."
+            },
+            "track_iterations": {
+              "default": false,
+              "description": "Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in `network.lines['s_nom_opt_X']` (where `X` labels the iteration)",
+              "type": "boolean"
+            },
+            "min_iterations": {
+              "default": 2,
+              "description": "Minimum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+              "type": "integer"
+            },
+            "max_iterations": {
+              "default": 3,
+              "description": "Maximum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+              "type": "integer"
+            },
+            "transmission_losses": {
+              "default": 2,
+              "description": "Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored.",
+              "type": "integer"
+            },
+            "linearized_unit_commitment": {
+              "default": true,
+              "description": "Whether to optimise using the linearized unit commitment formulation.",
+              "type": "boolean"
+            },
+            "horizon": {
+              "default": 365,
+              "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
+              "type": "integer"
+            },
+            "post_discretization": {
+              "description": "Configuration for `solving.options.post_discretization` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Switch to enable post-discretization of the network. Disabled by default.",
+                  "type": "boolean"
+                },
+                "line_unit_size": {
+                  "default": 1700,
+                  "description": "Discrete unit size of lines in MW.",
+                  "type": "number"
+                },
+                "line_threshold": {
+                  "default": 0.3,
+                  "description": "The threshold relative to the discrete line unit size beyond which to round up to the next unit.",
+                  "type": "number"
+                },
+                "link_unit_size": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "Discrete unit size of links in MW by carrier (given in dictionary style).",
+                  "type": "object"
+                },
+                "link_threshold": {
+                  "additionalProperties": {
+                    "type": "number"
+                  },
+                  "description": "The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style).",
+                  "type": "object"
+                },
+                "fractional_last_unit_size": {
+                  "default": false,
+                  "description": "When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size.",
+                  "type": "boolean"
+                }
+              }
+            },
+            "keep_files": {
+              "default": false,
+              "description": "Whether to keep LPs and MPS files after solving.",
+              "type": "boolean"
+            },
+            "model_kwargs": {
+              "description": "Configuration for `solving.options.model_kwargs` settings.",
+              "properties": {
+                "solver_dir": {
+                  "default": "",
+                  "description": "Absolute path to the directory where linopy saves files.",
+                  "type": "string"
+                }
+              }
+            }
+          }
+        },
+        "agg_p_nom_limits": {
+          "description": "Configuration for `solving.agg_p_nom_limits` settings.",
+          "properties": {
+            "agg_offwind": {
+              "default": false,
+              "description": "Aggregate together all the types of offwind when writing the constraint (`offwind-all` as a carrier in the `.csv` file). Default is false.",
+              "type": "boolean"
+            },
+            "agg_solar": {
+              "default": false,
+              "description": "Aggregate together all the types of electric solar when writing the constraint (`solar-all` as a carrier in the `.csv` file). Default is false.",
+              "type": "boolean"
+            },
+            "include_existing": {
+              "default": false,
+              "description": "Take existing capacities into account when writing the constraint. Default is false.",
+              "type": "boolean"
+            },
+            "file": {
+              "default": "data/agg_p_nom_minmax.csv",
+              "description": "Reference to `.csv` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to `data/agg_p_nom_minmax.csv`.",
+              "type": "string"
+            }
+          }
+        },
+        "constraints": {
+          "description": "Configuration for `solving.constraints` settings.",
+          "properties": {
+            "CCL": {
+              "default": false,
+              "description": "Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at `electricity: agg_p_nom_limits` in the configuration. File defaults to `data/agg_p_nom_minmax.csv`. Does not work with a time resolution resampling.",
+              "type": "boolean"
+            },
+            "EQ": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "default": false,
+              "description": "Require each country or node to on average produce a minimal share of its total consumption itself. Example: `EQ0.5c` demands each country to produce on average at least 50% of its consumption; `EQ0.5` demands each node to produce on average at least 50% of its consumption."
+            },
+            "BAU": {
+              "default": false,
+              "description": "Add a per-`carrier` minimal overall capacity; i.e. at least `40GW` of `OCGT` in Europe; configured in `electricity: BAU_mincapacities`",
+              "type": "boolean"
+            },
+            "SAFE": {
+              "default": false,
+              "description": "Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network.",
+              "type": "boolean"
+            }
+          }
+        },
+        "solver": {
+          "description": "Configuration for `solving.solver` settings.",
+          "properties": {
+            "name": {
+              "default": "gurobi",
+              "description": "Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow.",
+              "type": "string"
+            },
+            "options": {
+              "default": "gurobi-default",
+              "description": "Link to specific parameter settings.",
+              "type": "string"
+            }
+          }
+        },
+        "solver_options": {
+          "additionalProperties": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "description": "Dictionaries with solver-specific parameter settings.",
+          "type": "object"
+        },
+        "check_objective": {
+          "description": "Configuration for `solving.check_objective` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Enable objective value checking.",
+              "type": "boolean"
+            },
+            "expected_value": {
+              "anyOf": [
+                {
+                  "type": "number"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "default": null,
+              "description": "Expected objective value."
+            },
+            "atol": {
+              "default": 1000000,
+              "description": "Absolute tolerance.",
+              "type": "number"
+            },
+            "rtol": {
+              "default": 0.01,
+              "description": "Relative tolerance.",
+              "type": "number"
+            }
+          }
+        },
+        "oetc": {
+          "anyOf": [
+            {
+              "description": "Configuration for `solving.oetc` settings (Open Energy Transition Computing cluster support).",
+              "properties": {
+                "name": {
+                  "default": "pypsa-eur",
+                  "description": "Name identifier for the OETC job.",
+                  "type": "string"
+                },
+                "authentication_server_url": {
+                  "default": "",
+                  "description": "URL of the OETC authentication server for job submission.",
+                  "type": "string"
+                },
+                "orchestrator_server_url": {
+                  "default": "",
+                  "description": "URL of the OETC orchestrator server for job management.",
+                  "type": "string"
+                },
+                "cpu_cores": {
+                  "default": 8,
+                  "description": "Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8)",
+                  "type": "integer"
+                },
+                "disk_space_gb": {
+                  "default": 50,
+                  "description": "Amount of disk space in gigabytes to request for the OETC job.",
+                  "type": "integer"
+                },
+                "delete_worker_on_error": {
+                  "default": true,
+                  "description": "Whether to delete the worker instance when an error occurs during job execution.",
+                  "type": "boolean"
+                }
+              }
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "description": "Configuration options for Open Energy Transition Computing (OETC) cluster support."
+        },
+        "mem_mb": {
+          "default": 128000,
+          "description": "Estimated maximum memory requirement for solving networks (MB).",
+          "type": "integer"
+        },
+        "memory_logging_frequency": {
+          "default": 5,
+          "description": "Interval in seconds at which memory usage is logged.",
+          "type": "integer"
+        },
+        "runtime": {
+          "default": "48h",
+          "description": "Runtime in humanfriendly style.",
+          "type": "string"
+        }
+      }
+    },
+    "data": {
+      "description": "Configuration for `data` settings.",
+      "properties": {
+        "hotmaps_industrial_sites": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "enspreso_biomass": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "osm": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "worldbank_urban_population": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gem_europe_gas_tracker": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "co2stop": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "nitrogen_statistics": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eu_nuts2013": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eu_nuts2021": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eurostat_balances": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eurostat_household_balances": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "wdpa": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "wdpa_marine": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "luisa_land_cover": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "jrc_idees": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "scigrid_gas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "synthetic_electricity_demand": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "copernicus_land_cover": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ship_raster": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "eez": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "nuts3_population": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gdp_per_capita": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "population_count": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ghg_emissions": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gebco": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "attributed_ports": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "corine": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "emobility": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "h2_salt_caverns": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "lau_regions": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "aquifer_data": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "osm_boundaries": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "gem_gspt": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "tyndp": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "powerplants": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "costs": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "country_runoff": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "country_hdd": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "natura": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "bfs_road_vehicle_stock": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "bfs_gdp_and_population": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "mobility_profiles": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "cutout": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "dh_areas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "geothermal_heat_utilisation_potentials": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "jrc_ardeco": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "overpass_api": {
+      "description": "Configuration for `overpass_api` settings.",
+      "properties": {
+        "url": {
+          "default": "https://overpass-api.de/api/interpreter",
+          "description": "Overpass API endpoint URL. See `Overpass API Wiki <https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances>`_ for available public instances.",
+          "markdownDescription": "Overpass API endpoint URL. See [Overpass API Wiki ](https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances) for available public instances.",
+          "type": "string"
+        },
+        "max_tries": {
+          "default": 5,
+          "description": "Maximum retry attempts for Overpass API requests. Please be respectful to the Overpass API fair use policy of the individual instances.",
+          "type": "integer"
+        },
+        "timeout": {
+          "default": 600,
+          "description": "Timeout in seconds for Overpass API requests.",
+          "type": "integer"
+        },
+        "user_agent": {
+          "description": "Configuration for `overpass_api.user_agent` settings.",
+          "properties": {
+            "project_name": {
+              "default": "PyPSA-Eur",
+              "description": "Project name used to identify the user agent of the Overpass API requests.",
+              "type": "string"
+            },
+            "email": {
+              "default": "contact@pypsa.org",
+              "description": "Contact email address for the project using the Overpass API.",
+              "type": "string"
+            },
+            "website": {
+              "default": "https://github.com/PyPSA/pypsa-eur",
+              "description": "Website URL for the project using the Overpass API.",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "secrets": {
+      "description": "Configuration for top level `secrets` settings.",
+      "properties": {
+        "corine": {
+          "default": "",
+          "description": "API token for corine dataset retrieval. You can also pass the token by setting the environment variable \"CORINE_API_TOKEN\". See `scripts/retrieve_corine_dataset_primary.py` for more instructions.",
+          "type": "string"
+        }
+      }
+    }
+  },
+  "title": "PyPSA-Eur Configuration",
+  "type": "object"
+}
diff --git a/config/test/config.clusters.yaml b/config/test/config.clusters.yaml
index f7552bb44..7f61f2208 100644
--- a/config/test/config.clusters.yaml
+++ b/config/test/config.clusters.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.electricity.yaml b/config/test/config.electricity.yaml
index 687cfec68..fba70ed84 100644
--- a/config/test/config.electricity.yaml
+++ b/config/test/config.electricity.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.myopic.yaml b/config/test/config.myopic.yaml
index 2748f2bc1..6da578027 100644
--- a/config/test/config.myopic.yaml
+++ b/config/test/config.myopic.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.overnight.yaml b/config/test/config.overnight.yaml
index 624f1be7b..e0508de4b 100644
--- a/config/test/config.overnight.yaml
+++ b/config/test/config.overnight.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.perfect.yaml b/config/test/config.perfect.yaml
index 6941212c8..efd5cbbf1 100644
--- a/config/test/config.perfect.yaml
+++ b/config/test/config.perfect.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.scenarios.yaml b/config/test/config.scenarios.yaml
index 12e3464b7..1315ffcc1 100644
--- a/config/test/config.scenarios.yaml
+++ b/config/test/config.scenarios.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.tyndp.yaml b/config/test/config.tyndp.yaml
index c0ec7f96c..33b224105 100644
--- a/config/test/config.tyndp.yaml
+++ b/config/test/config.tyndp.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/config/test/config.validator.yaml b/config/test/config.validator.yaml
index 9dc7cccb5..4caa222a6 100644
--- a/config/test/config.validator.yaml
+++ b/config/test/config.validator.yaml
@@ -1,3 +1,4 @@
+# yaml-language-server: $schema=../schema.json
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
diff --git a/doc/conf.py b/doc/conf.py
index e8ad3b4d6..00ac181aa 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -64,6 +64,8 @@ def setup(app):
     #'sphinxcontrib.tikz',
     #'rinoh.frontend.sphinx',
     "sphinx.ext.imgconverter",  # for SVG conversion
+    "sphinx-jsonschema",
+    "sphinx_design",
 ]
 
 autodoc_mock_imports = [
diff --git a/doc/configtables/adjustments.csv b/doc/configtables/adjustments.csv
deleted file mode 100644
index c1eb2b902..000000000
--- a/doc/configtables/adjustments.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-,Unit,Values,Description
-adjustments,,,
--- electricity,bool or dict,,Parameter adjustments applied in :mod:`prepare_network.`
--- -- factor,,,Multiply original value with given factor
--- -- absolute,,,Set attribute to absolute value
--- -- -- {component},,,PyPSA component in :mod:`prepare_network.`
--- -- -- -- {carrier},,,Any carrier of the network to which parameter adjustment factor should be applied.
--- -- -- --  -- {attr},float,per-unit,Attribute to which parameter adjustment factor should be applied.
--- sector,bool or dict,,Parameter adjustments applied in :mod:`prepare_sector_network.`
--- -- factor,,,Multiply original value with given factor
--- -- absolute,,,Set attribute to absolute value
--- -- -- {component},,,PyPSA component in :mod:`prepare_network.`
--- -- -- -- {carrier},,,Any carrier of the network to which parameter adjustment factor should be applied.
--- -- -- --  -- {attr},Float or dict,per-unit,Attribute to which parameter adjustment factor should be applied. Can be also a dictionary with planning horizons as keys.
diff --git a/doc/configtables/atlite.csv b/doc/configtables/atlite.csv
deleted file mode 100644
index 30b2dc193..000000000
--- a/doc/configtables/atlite.csv
+++ /dev/null
@@ -1,17 +0,0 @@
-,Unit,Values,Description
-default_cutout,--,str|list,"Defines a default cutout. Can refer to a single cutout or a list of cutouts."
-nprocesses,--,int,"Number of parallel processes in cutout preparation"
-show_progress,bool,true/false,"Whether progressbar for atlite conversion processes should be shown. False saves time."
-cutouts,,,
--- {name},--,"Convention is to name cutouts like ``<region>-<year>-<source>`` (e.g. ``europe-2013-sarah3-era5``).","Name of the cutout netcdf file. The user may specify multiple cutouts under configuration ``atlite: cutouts:``. Reference is used in configuration ``renewable: {technology}: cutout:``. The cutout ``base`` may be used to automatically calculate temporal and spatial bounds of the network."
--- -- module,--,"Subset of {'era5','sarah'}","Source of the reanalysis weather dataset (e.g. `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_ or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`_)"
--- -- x,°,"Float interval within [-180, 180]","Range of longitudes to download weather data for. If not defined, it defaults to the spatial bounds of all bus shapes."
--- -- y,°,"Float interval within [-90, 90]","Range of latitudes to download weather data for. If not defined, it defaults to the spatial bounds of all bus shapes."
--- -- dx,°,"Larger than 0.25","Grid resolution for longitude"
--- -- dy,°,"Larger than 0.25","Grid resolution for latitude"
--- -- time,,"Time interval within ['1979', '2018'] (with valid pandas date time strings)","Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots."
--- -- prepare_kwargs,,,"Dictionary of keyword arguments passed to ``atlite.Cutout.prepare()`` when building the cutout."
--- -- -- features,,"String or list of strings with valid cutout features ('influx', 'wind').","When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features."
--- -- -- sarah_dir,,str,"Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the https://atlite.readthedocs.io for details. Required for building cutouts with SARAH, not required for ERA5 cutouts."
--- -- -- monthly_requests,,bool,"Whether to use monthly requests for ERA5 data when building the cutout. Helpful to avoid running into request limits with large cutouts. Defaults to False."
--- -- -- tmpdir,,str,"Path to a temporary directory where intermediate files are stored when building the cutout. Helpful when building large cutouts. Defaults to None."
diff --git a/doc/configtables/biomass.csv b/doc/configtables/biomass.csv
deleted file mode 100644
index 865d247e2..000000000
--- a/doc/configtables/biomass.csv
+++ /dev/null
@@ -1,9 +0,0 @@
-,Unit,Values,Description
-year ,--,"{2010, 2020, 2030, 2040, 2050}",Year for which to retrieve biomass potential according to the assumptions of the `JRC ENSPRESO <https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f>`_ .
-scenario ,--,"{""ENS_Low"", ""ENS_Med"", ""ENS_High""}",Scenario for which to retrieve biomass potential. The scenario definition can be seen in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`_
-classes ,,,
--- solid biomass,--,Array of biomass comodity,The comodity that are included as solid biomass
--- not included,--,Array of biomass comodity,The comodity that are not included as a biomass potential
--- biogas,--,Array of biomass comodity,The comodity that are included as biogas
-share_unsustainable_use_retained,--,Dictionary with planning horizons as keys., Share of unsustainable biomass use retained using primary production of Eurostat data as reference
-share_sustainable_potential_available,--,Dictionary with planning horizons as keys., Share determines phase-in of ENSPRESO biomass potentials
diff --git a/doc/configtables/clustering.csv b/doc/configtables/clustering.csv
deleted file mode 100644
index a751c2c22..000000000
--- a/doc/configtables/clustering.csv
+++ /dev/null
@@ -1,28 +0,0 @@
-,Unit,Values,Description
-mode,str,"One of {'busmap', 'custom_busmap', 'administrative', 'custom_busshapes'}","'busmap': Default. 'custom_busmap': Enable the use of custom busmaps in rule mod:`cluster_network`. If activated the rule looks for provided busmaps at ``data/busmaps/base_s_{clusters}_{base_network}.csv`` which should have the same format as ``resources/busmap_base_s_{clusters}.csv``, i.e. the index should contain the buses of ``networks/base_s.nc``. {base_network} is the name of the selected base_network in electricity, e.g. ``gridkit``, ``osm-prebuilt``, or ``osm-raw``. 'administrative': Clusters and indexes the network based on the administrative regions of the countries based on ``nuts3_shapes.geojson`` (level: 1, 2, 3, bz). To activate this, additionally set the ``clusters`` wildcard in ``scenario`` to 'adm'. 'custom_busshapes': Enable the use of custom shapes in rule mod:`cluster_network`. If activated the rule looks for provided busshapes at ``data/busshapes/base_s_{clusters}_{base_network}.geojson``."
-administrative,,,
--- level,int,"{0, 1, 2, 3}","Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1."
--- countries (optional),dict,"Subset of country codes in 'busmap'","Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`."
-focus_weights,,,"Optionally specify the focus weights for the clustering of countries. For instance: `DE: 0.8` will distribute 80% of all nodes to Germany and 20% to the rest of the countries. Only applies when mode is set to `busmap`."
-copperplate_regions,,,"Optionally specify the regions to copperplate as a list of regions (using the region indexes defined by the clustering mode)."
-build_bidding_zones,,,
--- remove_islands,bool,"{'true','false'}","Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira"
--- aggregate_to_tyndp,bool,"{'true','false'}","Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape."
-simplify_network,,,
--- to_substations,bool,"{'true','false'}","Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones"
--- exclude_carriers,list,"List of Str like [ 'solar', 'onwind'] or empy list []","List of carriers which will not be aggregated. If empty, all carriers will be aggregated."
--- remove_stubs,bool,"{'true','false'}",Controls whether radial parts of the network should be recursively aggregated. Defaults to true.
--- remove_stubs_across_borders,bool,"{'true','false'}",Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true.
-cluster_network,,,
--- algorithm,str,"One of {'kmeans', 'hac'}",
--- hac_features,list,"List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
-exclude_carriers,list,"List of Str like [ 'solar', 'onwind'] or empy list []","List of carriers which will not be aggregated. If empty, all carriers will be aggregated."
-consider_efficiency_classes,bool,"{'true','false'}","Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium)."
-aggregation_strategies,,,
--- generators,,,
--- -- {key},str,"{key} can be any of the component of the generator (str). It's value can be any that can be converted to pandas.Series using getattr(). For example one of {min, max, sum}.","Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator."
--- buses,,,
--- -- {key},str,"{key} can be any of the component of the bus (str). It's value can be any that can be converted to pandas.Series using getattr(). For example one of {min, max, sum}.","Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus."
-temporal,,,Options for temporal resolution
--- resolution_elec,--,"{false,``nH``; i.e. ``2H``-``6H``}","Resample the time-resolution by averaging over every ``n`` snapshots in :mod:`prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks."
--- resolution_sector,--,"{false,``nH``; i.e. ``2H``-``6H``}","Resample the time-resolution by averaging over every ``n`` snapshots in :mod:`prepare_sector_network`."
diff --git a/doc/configtables/co2_budget.csv b/doc/configtables/co2_budget.csv
deleted file mode 100644
index 8f11f9c6a..000000000
--- a/doc/configtables/co2_budget.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-,Unit,Values,Description
-co2_budget,--,Dictionary with planning horizons as keys.,CO2 budget as a fraction of 1990 emissions. Overwritten if ``Co2Lx`` or ``cb`` are set in ``{sector_opts}`` wildcard"doc/configtables/othertoplevel.csv
diff --git a/doc/configtables/conventional.csv b/doc/configtables/conventional.csv
deleted file mode 100644
index 12902f53d..000000000
--- a/doc/configtables/conventional.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-,Unit,Values,Description
-unit_commitment ,bool,"{true, false}","Allow the overwrite of ramp_limit_up, ramp_limit_start_up, ramp_limit_shut_down, p_min_pu, min_up_time, min_down_time, and start_up_cost of conventional generators. Refer to the CSV file „unit_commitment.csv“."
-dynamic_fuel_price ,bool,"{true, false}","Consider the monthly fluctuating fuel prices for each conventional generator. Refer to the CSV file ""data/validation/monthly_fuel_price.csv""."
-{name},--,string,For any carrier/technology overwrite attributes as listed below.
--- {attribute},--,string or float,"For any attribute, can specify a float or reference to a file path to a CSV file giving floats for each country (2-letter code)."
diff --git a/doc/configtables/costs.csv b/doc/configtables/costs.csv
deleted file mode 100644
index 726ea5b06..000000000
--- a/doc/configtables/costs.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-,Unit,Values,Description
-year,--,YYYY; e.g. '2030',Year for which to retrieve cost assumptions of ``data/costs/primary/<version>/costs_<year>.csv``.
-social_discountrate,p.u.,float,Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%.
-fill_values,--,float,Default values if not specified for a technology in ``resources/costs.csv``.
-custom_cost_fn,--,str or None,Path to the custom costs file. None if it should not be used. Default ``data/custom_costs.csv`` contains minor adjustments for stabilising the optimisation results.
-overwrites,--,Keys should be in the 'parameter' column of ``resources/costs.csv``. Values are dictionaries with keys from the  'technology' column of ``resources/costs.csv`` and float values.,"For the given parameters and technologies, assumptions about their parameter are overwritten the corresponding value of the technology."
-capital_cost,EUR/MW,Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.,"For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``."
-marginal_cost,EUR/MWh,Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.,"For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``."
-emission_prices,,,Specify exogenous prices for emission types listed in ``network.carriers`` to marginal costs.
--- enable,bool,true or false,Add cost for a carbon-dioxide price configured in ``costs: emission_prices: co2`` to ``marginal_cost`` of generators. Config setting can also be enabled with the keyword ``Ep`` in the ``{opts}`` wildcard for electricity-only runs.
--- co2,EUR/t,float or dictionary with planning horizons as keys.,"Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere."
--- co2_monthly_price,bool,true or false,Add monthly cost for a carbon-dioxide price based on historical values built by the rule ``build_monthly_prices``
diff --git a/doc/configtables/countries.csv b/doc/configtables/countries.csv
deleted file mode 100644
index 709b472c5..000000000
--- a/doc/configtables/countries.csv
+++ /dev/null
@@ -1,2 +0,0 @@
- ,Unit,Values,Description
-countries,--,"Subset of {'AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'MD', 'ME', 'MK', 'NL', 'NO', 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK', 'UA', 'XK'}","European countries defined by their `Two-letter country codes (ISO 3166-1) <https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2>`_ which should be included in the energy system model."
diff --git a/doc/configtables/electricity.csv b/doc/configtables/electricity.csv
deleted file mode 100644
index 6b302dc0d..000000000
--- a/doc/configtables/electricity.csv
+++ /dev/null
@@ -1,44 +0,0 @@
-,Unit,Values,Description
-voltages,kV,"Any subset of {220., 300., 330., 380., 400., 500., 750.}. Distribution grid (experimental, set base_network to `osm-raw`): Any subset of {63., 66., 90., 110., 132., 150., 220., 300., 330., 380., 400., 500., 750.}.",Voltage levels to consider
-base_network,--,"Any value in {'entsoegridkit', 'osm-prebuilt', 'osm-raw'}","Specify the underlying base network, i.e. GridKit (based on ENTSO-E web map extract, OpenStreetMap (OSM) prebuilt or raw (built from raw OSM data), takes longer."
-gaslimit_enable,bool,true or false,Add an overall absolute gas limit configured in ``electricity: gaslimit``.
-gaslimit,MWhth,float or false,Global gas usage limit
-co2limit_enable,bool,true or false,"Add an overall absolute carbon-dioxide emissions limit configured in ``electricity: co2limit`` in :mod:`prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks."
-co2limit,:math:`t_{CO_2-eq}/a`,float,Cap on total annual system carbon dioxide emissions
-co2base,:math:`t_{CO_2-eq}/a`,float,Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in ``{opts}`` wildcard.
-operational_reserve,,,Settings for reserve requirements following `GenX <https://genxproject.github.io/GenX/dev/core/#Reserves>`_
-,,, 
--- activate,bool,true or false,Whether to take operational reserve requirements into account during optimisation
--- epsilon_load,--,float,share of total load
--- epsilon_vres,--,float,share of total renewable supply
--- contingency,MW,float,fixed reserve capacity
-max_hours,,, 
--- battery,h,float,Maximum state of charge capacity of the battery in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
--- H2,h,float,Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
-extendable_carriers,,, 
--- Generator,--,Any extendable carrier,"Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the ``conventional_carriers`` list, the lower limit of the capacity expansion is set to 0."
--- StorageUnit,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
--- Store,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
--- Link,--,"Any subset of {'H2 pipeline'}",Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``.
-powerplants_filter,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. ``Country not in ['Germany']``",Filter query for the default powerplant database.
-,,, 
-custom_powerplants,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. ``Country in ['Germany']``",Filter query for the custom powerplant database.
-,,, 
-everywhere_powerplants,--,"Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}","List of conventional power plants to add to every node in the model with zero initial capacity. To be used in combination with ``extendable_carriers`` to allow for building conventional powerplants irrespective of existing locations."
-,,, 
-conventional_carriers,--,"Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}","List of conventional power plants to include in the model from ``resources/powerplants_s_{clusters}.csv``. If an included carrier is also listed in ``extendable_carriers``, the capacity is taken as a lower bound."
-,,, 
-renewable_carriers,--,"Any subset of {solar, onwind, offwind-ac, offwind-dc, offwind-float, hydro}",List of renewable generators to include in the model.
-estimate_renewable_capacities,,, 
--- enable,,bool,Activate routine to estimate renewable capacities in rule :mod:`add_electricity`. This option should not be used in combination with pathway planning ``foresight: myopic`` or ``foresight: perfect`` as renewable capacities are added differently in :mod:`add_existing_baseyear`.
--- from_gem,--,bool,Add renewable capacities from `Global Energy Monitor's Global Solar Power Tracker <https://globalenergymonitor.org/projects/global-solar-power-tracker/>`_ and `Global Energy Monitor's Global Wind Power Tracker <https://globalenergymonitor.org/projects/global-wind-power-tracker/>`_.
--- year,--,bool,Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year
--- expansion_limit,--,float or false,"Artificially limit maximum IRENA capacities to a factor.  For example, an ``expansion_limit: 1.1`` means 110% of capacities . If false are chosen, the estimated renewable potentials determine by the workflow are used."
--- technology_mapping,,,Mapping between PyPSA-Eur and powerplantmatching technology names
--- -- Offshore,--,"{onwind}","PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM)."
--- -- Offshore,--,"Any of {offwind-ac, offwind-dc, offwind-float}","PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM)."
--- -- PV,--,{solar},"PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM)."
-autarky,,, 
--- enable,bool,true or false,Require each node to be autarkic by removing all lines and links.
--- by_country,bool,true or false,"Require each country to be autarkic by removing all cross-border lines and links. ``electricity: autarky`` must be enabled."
-transmission_limit,str,"Values like 'vopt', 'v1.25', 'copt', 'c1.25'","Limit on transmission expansion. The first part can be ``v`` (for setting a limit on line volume) or ``c`` (for setting a limit on line cost). The second part can be ``opt`` or a float bigger than one (e.g. 1.25). If ``opt`` is chosen line expansion is optimised according to its capital cost (where the choice ``v`` only considers overhead costs for HVDC transmission lines, while ``c`` uses more accurate costs distinguishing between overhead and underwater sections and including inverter pairs). The setting ``v1.25`` will limit the total volume of line expansion to 25% of currently installed capacities weighted by individual line lengths. The setting ``c1.25`` will allow to build a transmission network that costs no more than 25 % more than the current system."
diff --git a/doc/configtables/enable.csv b/doc/configtables/enable.csv
deleted file mode 100644
index 2f5360806..000000000
--- a/doc/configtables/enable.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-,Unit,Values,Description
-drop_leap_day,bool,"{true, false}","Switch to drop February 29 from all time-dependent data in leap years"
diff --git a/doc/configtables/energy.csv b/doc/configtables/energy.csv
deleted file mode 100644
index 3d13b9c38..000000000
--- a/doc/configtables/energy.csv
+++ /dev/null
@@ -1,4 +0,0 @@
-,Unit,Values,Description
-energy_totals_year ,--,"{1990,1995,2000,2005,2010,2011,…} ",The year for the sector energy use. The year must be avaliable in the Eurostat report
-base_emissions_year ,--,"YYYY; e.g. 1990","The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_."
-emissions ,--,"{CO2, All greenhouse gases - (CO2 equivalent)}","Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented."
diff --git a/doc/configtables/existing_capacities.csv b/doc/configtables/existing_capacities.csv
deleted file mode 100644
index eacae35b9..000000000
--- a/doc/configtables/existing_capacities.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-,Unit,Values,Description
-grouping_years_power ,--,A list of years,Intervals to group existing capacities for power
-grouping_years_heat ,--,A list of years below 2020,Intervals to group existing capacities for heat
-
-threshold_capacity ,MW,float,Capacities generators and links of below threshold are removed during add_existing_capacities
-default_heating_lifetime ,years,int,Default lifetime for heating technologies
-conventional_carriers ,--,"Any subset of {uranium, coal, lignite, oil} ",List of conventional power plants to include in the sectoral network
diff --git a/doc/configtables/foresight.csv b/doc/configtables/foresight.csv
deleted file mode 100644
index a19ec1393..000000000
--- a/doc/configtables/foresight.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-,Unit,Values,Description
-foresight,string,"{overnight, myopic, perfect}","See :ref:`Foresight Options` for detail explanations."
diff --git a/doc/configtables/hydro.csv b/doc/configtables/hydro.csv
deleted file mode 100644
index 205581526..000000000
--- a/doc/configtables/hydro.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-,Unit,Values,Description
-cutout,--,str|list,Specifies the weather data cutout file(s) to use.
-carriers,--,"Any subset of {'ror', 'PHS', 'hydro'}","Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams."
-PHS_max_hours,h,float,Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
-hydro_max_hours,h,"Any of {float, 'energy_capacity_totals_by_country', 'estimate_by_large_installations'}",Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom`` or heuristically determined. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
-flatten_dispatch,bool,"{true, false}",Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in  ``flatten_dispatch_buffer``
-flatten_dispatch_buffer,--,float,"If ``flatten_dispatch`` is true, specify the value added above the average capacity factor."
-clip_min_inflow,MW,float,"To avoid too small values in the inflow time series, values below this threshold are set to zero."
-eia_norm_year,--,"Year in EIA hydro generation dataset; or False to disable","To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year"
-eia_correct_by_capacity,--,boolean,"Correct EIA annual hydro generation data by installed capacity."
-eia_approximate_missing,--,boolean,"Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff."
diff --git a/doc/configtables/industry.csv b/doc/configtables/industry.csv
deleted file mode 100644
index fd80e8049..000000000
--- a/doc/configtables/industry.csv
+++ /dev/null
@@ -1,38 +0,0 @@
-,Unit,Values,Description
-St_primary_fraction,--,Dictionary with planning horizons as keys.,The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6
-DRI_fraction,--,Dictionary with planning horizons as keys.,The fraction of the primary route DRI + EAF
-,,,
-H2_DRI,--,float,The hydrogen consumption in Direct Reduced Iron (DRI)  Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_
-elec_DRI,MWh/tSt,float,The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_
-Al_primary_fraction,--,Dictionary with planning horizons as keys.,The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4
-MWh_NH3_per_tNH3,LHV,float,The energy amount per ton of ammonia.
-MWh_CH4_per_tNH3_SMR,--,float,The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_
-MWh_elec_per_tNH3_SMR,--,float,"The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3"
-Mwh_H2_per_tNH3 _electrolysis,--,float,"The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From  `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy)"
-Mwh_elec_per_tNH3 _electrolysis,--,float,"The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From  `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB)"
-Mwh_NH3_per_MWh _H2_cracker,--,float,The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker
-NH3_process_emissions,MtCO2/a,float,The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28
-petrochemical_process _emissions,MtCO2/a,float,The emission of petrochemical production. From UNFCCC for 2015 for EU28
-HVC_primary_fraction,--,float,The fraction of high value chemicals (HVC) produced via primary route
-HVC_mechanical_recycling _fraction,--,float,The fraction of high value chemicals (HVC) produced using mechanical recycling
-HVC_chemical_recycling _fraction,--,float,The fraction of high value chemicals (HVC) produced using chemical recycling
-HVC_environment_sequestration_fraction,--,float,The fraction of high value chemicals (HVC) put into landfill resulting in additional carbon sequestration. The default value is 0.
-waste_to_energy,--,bool,Switch to enable expansion of waste to energy CHPs for conversion of plastics. Default is false.
-waste_to_energy_cc,--,bool,Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false.
-,,,
-sector_ratios_fraction_future,--,Dictionary with planning horizons as keys.,The fraction of total progress in fuel and process switching achieved in the industry sector.
-basic_chemicals_without_NH3_production_today,Mt/a,float,"The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3)."
-HVC_production_today,MtHVC/a,float,"The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107"
-Mwh_elec_per_tHVC _mechanical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756."
-Mwh_elec_per_tHVC _chemical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125"
-,,,
-chlorine_production _today,MtCl/a,float,"The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43"
-MWh_elec_per_tCl,MWh/tCl,float,"The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43"
-MWh_H2_per_tCl,MWhH2/tCl,float,"The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43"
-methanol_production _today,MtMeOH/a,float,"The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62"
-MWh_elec_per_tMeOH,MWh/tMeOH,float,"The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65"
-MWh_CH4_per_tMeOH,MWhCH4/tMeOH,float,"The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65"
-MWh_MeOH_per_tMeOH,LHV,float,"The energy amount per ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 74."
-hotmaps_locate_missing,--,"{true,false}",Locate industrial sites without valid locations based on city and countries.
-reference_year,year,YYYY,The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_
-oil_refining_emissions,tCO2/MWh,float,"The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar."
diff --git a/doc/configtables/lines.csv b/doc/configtables/lines.csv
deleted file mode 100644
index f111a180c..000000000
--- a/doc/configtables/lines.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-,Unit,Values,Description
-types,--,"Values should specify a `line type in PyPSA <https://pypsa.readthedocs.io/en/latest/components.html#line-types>`_. Keys should specify the corresponding voltage level (e.g. 220., 300. and 380. kV)","Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV"
-s_max_pu,--,"Value in [0.,1.]","Correction factor for line capacities (``s_nom``) to approximate :math:`N-1` security and reserve capacity for reactive power flows"
-s_nom_max,MW,"float","Global upper limit for the maximum capacity of each extendable line."
-max_extension,MW,"float","Upper limit for the extended capacity of each extendable line."
-length_factor,--,float,"Correction factor to account for the fact that buses are *not* connected by lines through air-line distance."
-under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction."
-reconnect_crimea,--,"true or false","Whether to reconnect Crimea to the Ukrainian grid"
-dynamic_line_rating,,,
--- activate,bool,"true or false","Whether to take dynamic line rating into account"
--- cutout,--,"str|list","Specifies the weather data cutout file(s) to use."
--- correction_factor,--,"float","Factor to compensate for overestimation of wind speeds in hourly averaged wind data"
--- max_voltage_difference,deg,"float","Maximum voltage angle difference in degrees or 'false' to disable"
--- max_line_rating,--,"float","Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable"
diff --git a/doc/configtables/links.csv b/doc/configtables/links.csv
deleted file mode 100644
index dec3e304c..000000000
--- a/doc/configtables/links.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-,Unit,Values,Description
-p_max_pu,--,"Value in [0.,1.]","Correction factor for link capacities ``p_nom``."
-p_min_pu,--,"Value in [-1.,0.]","Correction factor for link capacities ``p_nom``."
-p_nom_max,MW,"float","Global upper limit for the maximum capacity of each extendable DC link."
-max_extension,MW,"float","Upper limit for the extended capacity of each extendable DC link."
-length_factor,--,float,"Correction factor to account for the fact that buses are *not* connected by links through air-line distance."
-under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction."
diff --git a/doc/configtables/load.csv b/doc/configtables/load.csv
deleted file mode 100644
index 330714c5c..000000000
--- a/doc/configtables/load.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-,Unit,Values,Description
-fill_gaps,--,--,"Gaps filling strategy used."
--- enable,bool,"{true, false}","Whether to fill gaps using interpolation for small gaps and time shift for large gaps."
--- interpolate_limit,hours,integer,"Maximum gap size (consecutive nans) which interpolated linearly."
--- time_shift_for_large_gaps,string,string,"Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid ``pandas`` period strings."
-manual_adjustments,bool,"{true, false}","Whether to adjust the load data manually according to the function in :func:`manual_adjustment`."
-scaling_factor,--,float,"Global correction factor for the load time series."
-fixed_year,--,Year or False,"To specify a fixed year for the load time series that deviates from the snapshots' year"
-supplement_synthetic,bool,"{true, false}","Whether to supplement missing data for selected time period should be supplemented by synthetic data from https://zenodo.org/records/10820928."
-distribution_key,--,--,"Distribution key for spatially disaggregating the per-country electricity demand data."
--- gdp,float,"[0, 1]","Weighting factor for the GDP data in the distribution key."
--- population,float,"[0, 1]","Weighting factor for the population data in the distribution key."
diff --git a/doc/configtables/offwind.csv b/doc/configtables/offwind.csv
deleted file mode 100644
index a62f14311..000000000
--- a/doc/configtables/offwind.csv
+++ /dev/null
@@ -1,19 +0,0 @@
-,Unit,Values,Description
-cutout,--,"str|list","Specifies the weather data cutout file(s) to use."
-resource,,,
--- method,--,"Must be 'wind'","A superordinate technology type."
--- turbine,--,"One of turbine types included in `atlite <https://github.com/PyPSA/atlite/tree/master/atlite/resources/windturbine>`_.  Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available.","Specifies the turbine type and its characteristic power curve."
--- smooth,--,"{True, False}","Switch to apply a gaussian kernel density smoothing to the power curve."
-resource_classes,--,int,"Number of resource classes per clustered region."
-capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of wind turbine placement."
-correction_factor,--,float,"Correction factor for capacity factor time series."
-excluder_resolution,m,float,"Resolution on which to perform geographical elibility analysis."
-corine,--,"Any *realistic* subset of the `CORINE Land Cover code list <http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-1/corine-land-cover-classes-and/clc_legend.csv/at_download/file>`_","Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
-luisa,--,"Any subset of the `LUISA Base Map codes in Annex 1 <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`_","Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement."
-natura,bool,"{true, false}","Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if ``true``."
-ship_threshold,--,float,"Ship density threshold from which areas are excluded."
-max_depth,m,float,"Maximum sea water depth at which wind turbines can be build. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential."
-min_shore_distance,m,float,"Minimum distance to the shore below which wind turbines cannot be build. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
-max_shore_distance,m,float,"Maximum distance to the shore above which wind turbines cannot be build. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential."
-clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero."
-landfall_length,km,float,"Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus."
diff --git a/doc/configtables/onwind.csv b/doc/configtables/onwind.csv
deleted file mode 100644
index ca6a5a70e..000000000
--- a/doc/configtables/onwind.csv
+++ /dev/null
@@ -1,20 +0,0 @@
-,Unit,Values,Description
-cutout,--,"str|list","Specifies the weather data cutout file(s) to use."
-resource,,,
--- method,--,"Must be 'wind'","A superordinate technology type."
--- turbine,--,"One of turbine types included in `atlite <https://github.com/PyPSA/atlite/tree/master/atlite/resources/windturbine>`_. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available.","Specifies the turbine type and its characteristic power curve."
--- smooth,--,"{True, False}","Switch to apply a gaussian kernel density smoothing to the power curve."
-resource_classes,--,int,"Number of resource classes per clustered region."
-capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of wind turbine placement."
-corine,,,
--- grid_codes,--,"Any subset of the `CORINE Land Cover code list <http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-1/corine-land-cover-classes-and/clc_legend.csv/at_download/file>`_","Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement."
--- distance,m,float,"Distance to keep from areas specified in ``distance_grid_codes``"
--- distance_grid_codes,--,"Any subset of the `CORINE Land Cover code list <http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-1/corine-land-cover-classes-and/clc_legend.csv/at_download/file>`_","Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting ``distance``."
-luisa,,,
--- grid_codes,--,"Any subset of the `LUISA Base Map codes in Annex 1 <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`_","Specifies areas according to the LUISA Base Map codes which are generally eligible for wind turbine placement."
--- distance,m,float,"Distance to keep from areas specified in ``distance_grid_codes``"
--- distance_grid_codes,--,"Any subset of the `LUISA Base Map codes in Annex 1 <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`_","Specifies areas according to the LUISA Base Map codes to which wind turbines must maintain a distance specified in the setting ``distance``."
-natura,bool,"{true, false}","Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if ``true``."
-clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero."
-correction_factor,--,float,"Correction factor for capacity factor time series."
-excluder_resolution,m,float,"Resolution on which to perform geographical elibility analysis."
diff --git a/doc/configtables/opts.csv b/doc/configtables/opts.csv
deleted file mode 100644
index a34ba42c5..000000000
--- a/doc/configtables/opts.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-Trigger, Description, Definition, Status
-``nH``; i.e. ``2H``-``6H``, Resample the time-resolution by averaging over every ``n`` snapshots, ``prepare_network``: `average_every_nhours() <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L110>`_ and its `caller <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L146>`__), In active use
-``nSEG``; e.g. ``4380SEG``,"Apply time series segmentation with `tsam <https://tsam.readthedocs.io/en/latest/index.html>`_ package to ``n`` adjacent snapshots of varying lengths based on capacity factors of varying renewables, hydro inflow and load.", ``prepare_network``: apply_time_segmentation(), In active use
-``Co2L``,Add an overall absolute carbon-dioxide emissions limit configured in ``electricity: co2limit``. If a float is appended an overall emission limit relative to the emission level given in ``electricity: co2base`` is added (e.g. ``Co2L0.05`` limits emissisions to 5% of what is given in ``electricity: co2base``), ``prepare_network``: `add_co2limit() <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L19>`_ and its `caller <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L154>`__, In active use
-``Ep``,Add cost for a carbon-dioxide price configured in ``costs: emission_prices: co2`` to ``marginal_cost`` of generators (other emission types listed in ``network.carriers`` possible as well), ``prepare_network``: `add_emission_prices() <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L24>`_ and its `caller <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L158>`__, In active use
-``Ept``,Add monthly cost for a carbon-dioxide price based on historical values built by the rule ``build_monthly_prices``, In active use,
-``CCL``,Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at ``electricity: agg_p_nom_limits`` in the configuration. File defaults to ``data/agg_p_nom_minmax.csv``., ``solve_network``, In active use
-``EQ``,Require each country or node to on average produce a minimal share of its total consumption itself. Example: ``EQ0.5c`` demands each country to produce on average at least 50% of its consumption; ``EQ0.5`` demands each node to produce on average at least 50% of its consumption., ``solve_network``, In active use
-``ATK``,Require each node to be autarkic. Example: ``ATK`` removes all lines and links. ``ATKc`` removes all cross-border lines and links., ``prepare_network``, In active use
-``BAU``,Add a per-``carrier`` minimal overall capacity; i.e. at least ``40GW`` of ``OCGT`` in Europe; configured in ``electricity: BAU_mincapacities``, ``solve_network``: `add_opts_constraints() <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/solve_network.py#L66>`__, Untested
-``SAFE``,Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network., ``solve_network`` `add_opts_constraints() <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/solve_network.py#L73>`__, Untested
-``carrier+component+{c|p|m|e}factor``,"Alter the capital cost (``c``), installable capacity potential (``p``), marginal costs (``m``) or installable storage potential (``e``) of components (``Generator``, ``Link``, etc.) with a given carrier by a factor. Example: ``solar+Generator+c0.5`` reduces the capital cost of solar generators to 50\% of original values.", ``prepare_network``, In active use
-``CH4L``,"Add an overall absolute gas limit. If configured in ``electricity: gaslimit`` it is given in MWh thermal, if a float is appended, the overall gaslimit is assumed to be given in TWh thermal (e.g. ``CH4L200`` limits gas dispatch to 200 TWh termal)", ``prepare_network``: ``add_gaslimit()``, In active use
-``l{v|c}factor``,"Add an overall transmission expansion limit relative to existing power transmission infrastructure based on volume (``v``) or cost (``c``). Example: ``lv1.25`` allows power grid expansion up to a volume (length times capacity) by 25%.",``prepare_network``: ``set_transmission_limit()``, In active use
diff --git a/doc/configtables/plotting.csv b/doc/configtables/plotting.csv
deleted file mode 100644
index 84487c2f3..000000000
--- a/doc/configtables/plotting.csv
+++ /dev/null
@@ -1,70 +0,0 @@
-,Unit,Values,Description
-heat_sources,,,
--- enable_heat_source_maps,--,bool,If true generate temporal aggregate maps for heat sources
-map,,,
--- boundaries,°,"[x1,x2,y1,y2]",Boundaries of the map plots in degrees latitude (y) and longitude (x)
--- geomap_colors,,,
--- -- ocean,--,str,Color of the ocean in the geomap.
--- -- land,--,str,Color of the land in the geomap.
-interactive_bus_balance,,,
--- bus_name_pattern,--,str,Regex pattern to match bus names for which interactive balance time series are plotted. E.g. 'DE*' for all buses starting with 'DE'.
-projection,,,
--- name,--,Valid Cartopy projection name,See https://scitools.org.uk/cartopy/docs/latest/reference/projections.html for list of available projections.
--- args,--,--,"Other entries under 'projection' are passed as keyword arguments to the projection constructor, e.g. ``central_longitude: 10.``."
-eu_node_location,,,
--- x,°,float,Longitude of the EU node location.
--- y,°,float,Latitude of the EU node location.
-costs_max,bn Euro,float,Upper y-axis limit in cost bar plots.
-costs_threshold,bn Euro,float,Threshold below which technologies will not be shown in cost bar plots.
-energy_max,TWh,float,Upper y-axis limit in energy bar plots.
-energy_min,TWh,float,Lower y-axis limit in energy bar plots.
-energy_threshold,TWh,float,Threshold below which technologies will not be shown in energy bar plots.
-balance_timeseries,,,
--- max_threshold,GW or kt/h for CO2,float,Technologies with maximum absolute dispatch below this threshold are grouped to 'other'.
--- mean_threshold,GW or kt/h for CO2,float,Technologies with mean absolute dispatch below this threshold are grouped to 'other'.
--- monthly,"{True,False}",bool,Whether to plot monthly balance timeseries.
--- monthly_resolution,"e.g. 1h",str,Resolution of the monthly balance timeseries. Argument to pandas.DataFrame.resample. Defaults to 'null' which uses the model-native resolution.
--- annual,"{True,False}",bool,Whether to plot annual balance timeseries.
--- annual_resolution,"e.g. 1h",str,Resolution of the annual balance timeseries. Argument to pandas.DataFrame.resample. Defaults to 'D' which applies daily resampling.
--- carriers,--,list,Subset of bus carriers to plot in the balance timeseries.
--- carrier_groups,--,dict,Mapping from carrier group names to list of bus carriers. E.g. a key 'electricity' to include 'AC' and 'low voltage'.
-heatmap_timeseries,,,Plotting configuration for :mod:`plot_heatmap_timeseries`.
--- marginal_price,--,list,Subset of bus carriers to plot marginal prices heatmap time series for.
--- utilisation_rate,--,list,Subset of carriers to plot utilisation rates heatmap time series for.
--- soc,--,list,Subset of carriers to plot state of charge heatmap time series for.
-balance_map,,,
--- bus_carriers,--,[str],List of carriers to plot. Note that an underscore `_` needs to be used instead of spaces in carrier names (e.g. instead of 'co2 stored' use 'co2_stored'). This is to ensure compatibility with queue managers like slurm.
--- {bus_carrier},,,
--- -- cmap,--,str,Colormap for the price of the regions.
--- -- vmin,--,float,Minimum value for the colormap.
--- -- vmax,--,float,Maximum value for the colormap.
--- -- region_unit,--,str,Unit for the price like €/MWh for electricity.
--- -- branch_color,--,str,Color of the branches (links) in the map.
--- -- unit,--,str,Unit of the energy carrier like TWh for electricity (with conversion factor of a million).
--- -- unit_conversion,--,float,Conversion factor for the energy carrier unit (divide the raw data by this factor).
--- -- bus_factor,--,float,Factor for the bus sizes by which they are multiplied.
--- -- branch_factor,--,float,Factor for the branch sizes by which they are multiplied.
--- -- flow_factor,--,float,Factor for the flow sizes by which they are multiplied.
--- -- bus_sizes,--,[float],Sizes for the buses in the legend.
--- -- branch_sizes,--,[float],Sizes for the branches in the legend.
-tech_colors,--,carrier -> HEX colour code,Mapping from network ``carrier`` to a colour (`HEX colour code <https://en.wikipedia.org/wiki/Web_colors#Hex_triplet>`_).
-nice_names,--,str -> str,Mapping from network ``carrier`` to a more readable name.
-balance_map_interactive,,,
--- bus_carriers,--,[str],List of carriers to plot. Note that an underscore `_` needs to be used instead of spaces in carrier names (e.g. instead of 'co2 stored' use 'co2_stored'). This is to ensure compatibility with queue managers like slurm.
--- {bus_carrier},,,
--- -- cmap,--,str,Colormap for the price of the regions.
--- -- region_unit,--,str,Unit for the regional price like €/MWh for electricity or €/t for CO2.
--- -- vmin,--,float,Minimum value for the colormap.
--- -- vmax,--,float,Maximum value for the colormap.
--- -- region_alpha,--,float,Alpha transparency between 0 and 1 for the regions.
--- -- unit_conversion,--,float,Conversion factor for the energy carrier unit (divide the raw data by this factor).
--- -- branch_color,--,str,Color of the branches (links) in the map.
--- -- branch_width_max,--,float,"Maximum width of the branches (links) in the map. Used as reference for automatic proportional scaling of branch widths. Note that proportionality is only guaranteed within a single plot, not across scenarios or carriers."
--- -- bus_size_max,--,float,"Maximum size of the buses in the map. Used as reference for automatic proportional scaling of bus sizes. Note that proportionality is only guaranteed within a single plot, not across scenarios or carriers."
--- -- arrow_size_factor,--,float,Factor to scale the size of the flow arrows on the branches (links). A factor of 1 means that the arrow size is the same width as the flow on the branch (invisible arrow).
--- -- map_style,--,str,"Style of the underlying map. Any subset of {'road', 'light', 'dark', 'light_no_labels', 'dark_no_labels', 'none'}."
--- -- region_unit,--,str,Unit for the price like €/MWh for electricity.
--- -- unit,--,str,Unit of the energy carrier like TWh for electricity (with conversion factor of a million).
--- -- tooltip,--,bool,Whether to show tooltips when hovering over regions and branches.
-tech_colors,--,carrier -> HEX colour code,Mapping from network ``carrier`` to a colour (`HEX colour code <https://en.wikipedia.org/wiki/Web_colors#Hex_triplet>`_).
-nice_names,--,str -> str,Mapping from network ``carrier`` to a more readable name.
diff --git a/doc/configtables/run.csv b/doc/configtables/run.csv
deleted file mode 100644
index 1430bd375..000000000
--- a/doc/configtables/run.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-,Unit,Values,Description
-name,--,str/list,"Specify a name for your run. Results will be stored under this name. If ``scenario: enable:`` is set to ``true``, the name must contain a subset of scenario names defined in ``scenario: file:``. If the name is 'all', all defined scenarios will be run."
-prefix,--,str,"Prefix for the run name which is used as a top-layer directory name in the results and resources folders."
-scenarios,,,
--- enable,bool,"{true, false}","Switch to select whether workflow should generate scenarios based on ``file``."
--- file,str,,"Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, ``run: scenarios`` has to be set to ``true`` and ``run: name`` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the ``config/create_scenarios.py`` script in the ``config`` directory."
-disable_progressbar,bool,"{true, false}","Switch to select whether progressbar should be disabled."
-shared_resources,,,
--- policy,bool/str,,"Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared."
--- exclude,str,"For the case shared_resources=base, specify additional files that should not be shared across runs."
-use_shadow_directory,bool,"{true, false}","Set to ``true`` (default) if snakemake shadow directories (``shallow``) should be used. Set to ``false`` if problems occcur."
diff --git a/doc/configtables/scenario.csv b/doc/configtables/scenario.csv
deleted file mode 100644
index fa6836bac..000000000
--- a/doc/configtables/scenario.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-,Unit,Values,Description
-clusters,--,cf. :ref:`clusters`,"List of ``{clusters}`` wildcards to run."
-opts,--,cf. :ref:`opts`,"List of ``{opts}`` wildcards to run."
-sector_opts,--,cf. :ref:`sector_opts`,"List of ``{sector_opts}`` wildcards to run."
-planning_horizons,--,cf. :ref:`planning_horizons`,"List of ``{planning_horizon}`` wildcards to run."
diff --git a/doc/configtables/sector-opts.csv b/doc/configtables/sector-opts.csv
deleted file mode 100644
index 10f59ef5b..000000000
--- a/doc/configtables/sector-opts.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-Trigger, Description, Definition, Status
-``nH``, i.e. ``2h``-``6h``, "Resample the time-resolution by averaging over every ``n`` snapshots, ``prepare_network``: `average_every_nhours() <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L110>`_ and its `caller <https://github.com/PyPSA/pypsa-eur/blob/6b964540ed39d44079cdabddee8333f486d0cd63/scripts/prepare_network.py#L146>`__)", In active use
-``Co2L`` + ``n``, Add an overall absolute carbon-dioxide emissions limit of ``n`` times of the 1990 base emissions (e.g. ``Co2L0.05`` limits emissisions to 5% of what is calculated in the rule :mod:``prepare_sector_network`` in the function ``co2_emissions_year()``),:mod:``prepare_sector_network`` in the function ``co2_emissions_year()`` , In active use
-``carrier+component+{c|p|m|e}factor``,"Alter the capital cost (``c``), installable capacity potential (``p``), marginal costs (``m``) or installable storage potential (``e``) of components (``Generator``, ``Link``, etc.) with a given carrier by a factor. Example: ``solar+Generator+c0.5`` reduces the capital cost of solar generators to 50\% of original values.", ``prepare_network``, In active use
-``T``,Add land transport sector,,In active use
-``H``,Add heating sector,,In active use
-``B``,Add biomass,,In active use
-``I``,Add industry sector,,In active use
-``A``,Add agriculture sector,,In active use
-``dist``+``n``,Add distribution grid with investment costs of ``n`` times costs in ``resources/costs_{cost_year}.csv``,,In active use
-``seq``+``n``,Sets the CO2 sequestration potential to ``n`` Mt CO2 per year,,In active use
diff --git a/doc/configtables/sector.csv b/doc/configtables/sector.csv
deleted file mode 100644
index 24c997854..000000000
--- a/doc/configtables/sector.csv
+++ /dev/null
@@ -1,235 +0,0 @@
-,Unit,Values,Description
-transport,--,"{true, false}",Flag to include transport sector.
-heating,--,"{true, false}",Flag to include heating sector.
-biomass,--,"{true, false}",Flag to include biomass sector.
-industry,--,"{true, false}",Flag to include industry sector.
-shipping,--,"{true, false}",Flag to include shipping sector.
-aviation,--,"{true, false}",Flag to include aviation sector.
-agriculture,--,"{true, false}",Flag to include agriculture sector.
-fossil_fuels,--,"{true, false}","Flag to include imports of fossil fuels."
-district_heating,--,,
--- potential,--,Dictionary with country codes as keys or float.,"Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries."
--- progress,--,Dictionary with planning horizons as keys.,Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating
--- district_heating_loss,--,float,Share increase in district heat demand in urban central due to heat losses
--- supply_temperature_approximation,,,
--- -- max_forward_temperature_baseyear,C,Dictionary with country codes as keys. One key must be 'default'., Max. forward temperature in district heating in baseyear (if ambient temperature lower-or-equal `lower_threshold_ambient_temperature`)
--- -- min_forward_temperature_baseyear,C,Dictionary with country codes as keys. One key must be 'default'., Min. forward temperature in district heating in baseyear (if ambient temperature higher-or-equal `upper_threshold_ambient_temperature`)
--- -- return_temperature_baseyear,C,Dictionary with country codes as keys. One key must be 'default'.,Return temperature in district heating in baseyear . Must be lower than forward temperature
--- -- lower_threshold_ambient_temperature,C,float, Assume `max_forward_temperature` if ambient temperature is below this threshold
--- -- upper_threshold_ambient_temperature,C,float, Assume `min_forward_temperature` if ambient temperature is above this threshold
--- -- rolling_window_ambient_temperature, h, int, Rolling window size for averaging ambient temperature when approximating supply temperature
--- -- relative_annual_temperature_reduction,, float, Relative annual reduction of district heating forward and return temperature - defaults to 0.01 (1%)
--- ptes,,,
--- -- dynamic_capacity,--,"{true, false}",Add option for dynamic temperature-dependent energy capacity of pit storage in district heating
--- -- supplemental_heating,,,
--- -- -- enable,--,"{true, false}",Add option to enable supplemental heating of pit storage in district heating
--- -- -- booster_heat_pump: true,--,"{true, false}",Add option to enable a booster heat pump for supplemental heating of pit storage in district heating
--- -- max_top_temperature,C,float,The maximum top temperature of the pit storage according to DEA technology catalogue (2018)
--- -- min_bottom_temperature,C,float,The minimum bottom temperature of the pit storage according to DEA technology catalogue (2018)
--- ates,,,
--- -- enable,--,"{true, false}",Enable investments in aquifer thermal energy pit storage in district heating
--- -- suitable_aquifer_types,--,List of aquifer types assumed suitable for ATES. Must be subset of [Highly productive porous aquifers';
-       'Low and moderately productive porous aquifers';
-       'Highly productive fissured aquifers (including karstified rocks)';
-       'Low and moderately productive fissured aquifers (including karstified rocks)';
-       'Locally aquiferous rocks, porous or fissured';
-       'Practically non-aquiferous rocks, porous or fissured';
-       'Inland water'; 'Snow field / ice field'],
--- -- aquifer_volumetric_heat_capacity, kJ/m³/K,float,The volumetric heat capacity of the aquifer water
--- -- fraction_of_aquifer_area_available,,float,The fraction of the aquifer area available for ATES
--- -- effective_screen_length,m,float,The effective screen length of the aquifer well. Used to estimate its thermal radius.
--- -- dh_area_buffer,m,float,Suitable aquifers must be within this distance to district heating areas. 
--- -- capex_as_fraction_of_geothermal_heat_source,,float,The capital expenditure of ATES chargers/dischargers as a fraction of the geothermal heat source per-MWh CAPEX.
--- -- recovery_factor,,float,The recovery factor of the aquifer (1- yearly_losses).
--- heat_source_cooling,K,float,Cooling of heat source for heat pumps
--- heat_pump_cop_approximation,,,
--- -- refrigerant,--,"{ammonia, isobutane}",Heat pump refrigerant assumed for COP approximation
--- -- heat_exchanger_pinch_point_temperature_difference,K,float,Heat pump pinch point temperature difference in heat exchangers assumed for approximation.
--- -- isentropic_compressor_efficiency,--,float,Isentropic efficiency of heat pump compressor assumed for approximation. Must be between 0 and 1.
--- -- heat_loss,--,float,Heat pump heat loss assumed for approximation. Must be between 0 and 1.
--- -- min_delta_t_lift,--,float,"Minimum feasible temperature lift for heat pumps, used to approximate technical limits in heat pump operation. This value accounts for practical constraints in heat pump design."
--- -- min_delta_t_lift,--,float,"Minimum feasible temperature lift for heat pumps, used to approximate technical limits in heat pump operation. This value accounts for practical constraints in heat pump design."
--- limited_heat_sources,--,,Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in `Manz et al. 2024 <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`__)
-
--- -- river_water,-,Name of the heat source. Must be the same as in ``heat_pump_sources``,
--- -- -- constant_temperature_celsius,°C,heat source temperature,
--- -- -- ignore_missing_regions,--,Boolean,Ignore missing regions in the data and fill with zeros or raise an error 
--- direct_utilisation_heat_sources,--,List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. ``geothermal``),
--- temperature_limited_stores,,Dictionary with names for stores used as limited heat sources
--- -- ptes,-,Name of the heat source. Must be the same as in ``heat_pump_sources``
--- dh_area_buffer,m,float,The buffer by which dh_area shapes from Manz et al. are increased
--- heat_pump_sources,--,,
--- -- urban central,--,"List of heat sources for heat pumps in urban central heating. Must be one of [air, river_water, sea_water, geothermal]",
--- -- urban decentral,--,"List of heat sources for heat pumps in urban decentral heating. Must be one of [air]",
--- -- rural,--,"List of heat sources for heat pumps in rural heating. Must be one of [air, ground]",
-residential_heat,--,,Configuration options for residential heat demand-side management (DSM). See `smartEn DSM study <https://smarten.eu/wp-content/uploads/2022/09/SmartEn-DSF-benefits-2030-Report_DIGITAL.pdf>`_ (Appendix A) for methodology.
--- dsm,--,,
--- -- enable,--,"{true, false}",Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage.
--- -- direction,--,"{overheat-undercool, overheat, undercool}",'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again.
--- -- restriction_value,--,Dictionary with planning horizons as keys.,Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility.
--- -- restriction_time,--,list of int,"Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10 22] creates 12-hour periods with checkpoints at 10am and 10pm."
-cluster_heat_buses,--,"{true, false}",Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_  to one to save memory.
-bev_dsm_restriction_value,--,float,Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM
-bev_dsm_restriction_time,--,float,Time at which SOC of BEV has to be dsm_restriction_value
-transport_heating_deadband_upper,C,float,"The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases."
-transport_heating_deadband_lower,C,float,"The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases."
-ICE_lower_degree_factor,--,float,Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.
-ICE_upper_degree_factor,--,float,Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.
-EV_lower_degree_factor,--,float,Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.
-EV_upper_degree_factor,--,float,Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.
-bev_dsm,--,"{true, false}",Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM)
-bev_dsm_availability,--,float,The share for battery electric vehicles (BEV) that are able to do demand side management (DSM)
-bev_energy,--,float,The average size of battery electric vehicles (BEV) in MWh
-bev_charge_efficiency,--,float,Battery electric vehicles (BEV) charge and discharge efficiency
-bev_charge_rate,MWh,float,The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.
-bev_avail_max,--,float,The maximum share plugged-in availability for passenger electric vehicles.
-bev_avail_mean,--,float,The average share plugged-in availability for passenger electric vehicles.
-v2g,--,"{true, false}","Allows feed-in to grid from EV battery. This is only enabled if BEV demand-side management is enabled, and the share of vehicles participating is V2G is given by `bev_dsm_availability`."
-land_transport_fuel_cell _share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses fuel cells in a given year
-land_transport_electric _share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses electric vehicles (EV) in a given year
-land_transport_ice _share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.
-transport_electric_efficiency,MWh/100km,float,The conversion efficiencies of electric vehicles in transport
-transport_fuel_cell_efficiency,MWh/100km,float,The H2 conversion efficiencies of fuel cells in transport
-transport_ice_efficiency,MWh/100km,float,The oil conversion efficiencies of internal combustion engine (ICE) in transport
-agriculture_machinery _electric_share,--,float,The share for agricultural machinery that uses electricity
-agriculture_machinery _oil_share,--,float,The share for agricultural machinery that uses oil
-agriculture_machinery _fuel_efficiency,--,float,The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.
-agriculture_machinery _electric_efficiency,--,float,The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.
-Mwh_MeOH_per_MWh_H2,LHV,float,"The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64."
-MWh_MeOH_per_tCO2,LHV,float,"The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 66."
-MWh_MeOH_per_MWh_e,LHV,float,"The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64."
-shipping_hydrogen _liquefaction,--,"{true, false}",Whether to include liquefaction costs for hydrogen demand in shipping.
-shipping_hydrogen_share,--,Dictionary with planning horizons as keys.,The share of ships powered by hydrogen in a given year
-shipping_methanol_share,--,Dictionary with planning horizons as keys.,The share of ships powered by methanol in a given year
-shipping_oil_share,--,Dictionary with planning horizons as keys.,The share of ships powered by oil in a given year
-shipping_methanol _efficiency,--,float,The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_
-shipping_oil_efficiency,--,float,The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011
-aviation_demand_factor,--,float,The proportion of demand for aviation compared to today's consumption
-HVC_demand_factor,--,float,The proportion of demand for high-value chemicals compared to today's consumption
-time_dep_hp_cop,--,"{true, false}",Consider the time dependent coefficient of performance (COP) of the heat pump
-heat_pump_sink_T,°C,float,The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings
-reduce_space_heat _exogenously,--,"{true, false}",Influence on space heating demand by a certain factor (applied before losses in district heating).
-reduce_space_heat _exogenously_factor,--,Dictionary with planning horizons as keys.,"A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_"
-retrofitting,,,
--- retro_endogen,--,"{true, false}",Add retrofitting as an endogenous system which co-optimise space heat savings.
--- cost_factor,--,float,Weight costs for building renovation
--- interest_rate,--,float,The interest rate for investment in building components
--- annualise_cost,--,"{true, false}",Annualise the investment costs of retrofitting
--- tax_weighting,--,"{true, false}",Weight the costs of retrofitting depending on taxes in countries
--- construction_index,--,"{true, false}",Weight the costs of retrofitting depending on labour/material costs per country
-tes,--,"{true, false}",Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES)
-boilers,--,"{true, false}",Add option for transforming gas into heat using gas boilers
-resistive_heaters,--,"{true, false}",Add option for transforming electricity into heat using resistive heaters (independently from gas boilers)
-oil_boilers,--,"{true, false}",Add option for transforming oil into heat using boilers
-biomass_boiler,--,"{true, false}",Add option for transforming biomass into heat using boilers
-overdimension_heat_generators,,,Add option for overdimensioning heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1.
--- decentral,--,float,The factor for overdimensioning (increasing CAPEX) decentral heating systems
--- central,--,float,The factor for overdimensioning (increasing CAPEX) central heating systems
-chp,--,,
--- enable,--,"{true, false}",Add option for using Combined Heat and Power (CHP)
--- fuel,--,list of fuels,"Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are ""gas"", ""oil"", ""methanol"", ""lignite"", ""coal"" as well as ""solid biomass"". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added."
--- micro_chp,--,"{true, false}",Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas.
-solar_thermal,--,"{true, false}",Add option for using solar thermal to generate heat.
-solar_cf_correction,--,float,The correction factor for the value provided by the solar thermal profile calculations
-marginal_cost_heat_vent,"currency/MWh ",float,The marginal cost of heat-venting in all heating systems
-methanation,--,"{true, false}",Add option for transforming hydrogen and CO2 into methane using methanation.
-coal_cc,--,"{true, false}",Add option for coal CHPs with carbon capture
-dac,--,"{true, false}",Add option for Direct Air Capture (DAC)
-co2_vent,--,"{true, false}",Add option for vent out CO2 from storages to the atmosphere.
-heat_vent,--,--,--
--- urban central, --,"{true, false}",Allow heat-venting in central heating.
--- urban decentral, --,"{true, false}",Allow heat-venting in urban decentral heating.
--- rural, --,"{true, false}",Allow heat-venting in rural heating.
-allam_cycle_gas,--,"{true, false}",Add option to include `Allam cycle gas power plants <https://en.wikipedia.org/wiki/Allam_power_cycle>`_
-hydrogen_fuel_cell,--,"{true, false}",Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs
-hydrogen_turbine,--,"{true, false}",Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs
-SMR,--,"{true, false}",Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR)
-SMR CC,--,"{true, false}",Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR) and Carbon Capture (CC)
-regional_oil_demand,--,"{true, false}",Spatially resolve oil demand. Set to true if regional CO2 constraints needed.
-regional_co2 _sequestration_potential,,,
--- enable,--,"{true, false}",Add option for regionally-resolved geological carbon dioxide sequestration potentials based on `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`_.
--- attribute,--,string or list,Name (or list of names) of the attribute(s) for the sequestration potential
--- include_onshore,--,"{true, false}",Add options for including onshore sequestration potentials
--- min_size,Gt ,float,Any sites with lower potential than this value will be excluded
--- max_size,Gt ,float,The maximum sequestration potential for any one site.
--- years_of_storage,years,float,The years until potential exhausted at optimised annual rate
-co2_sequestration_potential,--,Dictionary with planning horizons as keys.,The potential of sequestering CO2 in Europe per year and investment period
-co2_sequestration_cost,currency/tCO2,float,The cost of sequestering a ton of CO2
-co2_sequestration_lifetime,years,int,The lifetime of a CO2 sequestration site
-co2_spatial,--,"{true, false}","Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites."
-co2_network,--,"{true, false}",Add option for planning a new carbon dioxide transmission network
-co2_network_cost_factor,p.u.,float,The cost factor for the capital cost of the carbon dioxide transmission network
-cc_fraction,--,float,The default fraction of CO2 captured with post-combustion capture
-hydrogen_underground _storage,--,"{true, false}",Add options for storing hydrogen underground. Storage potential depends regionally.
-hydrogen_underground _storage_locations,,"{onshore, nearshore, offshore}","The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively."
-methanol,--,--,Add methanol as carrrier and add enabled methnol technologies
--- regional_methanol_demand,--,"{true, false}",Spatially resolve methanol demand. Set to true if regional CO2 constraints needed.
--- methanol_reforming,--,"{true, false}"," Add methanol reforming"
--- methanol_reforming_cc,--,"{true, false}"," Add methanol reforming with carbon capture"
--- methanol_to_kerosene,--,"{true, false}"," Add methanol to kerosene"
--- methanol_to_power,--,--," Add different methanol to power technologies"
--- -- ccgt,--,"{true, false}"," Add combined cycle gas turbine (CCGT) using methanol"
--- -- ccgt_cc,--,"{true, false}"," Add combined cycle gas turbine (CCGT) with carbon capture using methanol"
--- -- ocgt,--,"{true, false}"," Add open cycle gas turbine (OCGT) using methanol"
--- -- allam,--,"{true, false}"," Add Allam cycle gas power plants using methanol"
--- -- biomass_to_methanol,--,"{true, false}"," Add biomass to methanol"
--- -- biomass_to_methanol_cc,--,"{true, false}"," Add biomass to methanol with carbon capture"
-ammonia,--,"{true, false, regional}","Add ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or ""regional"" (regionalised NH3 without network)"
-min_part_load_electrolysis,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for electrolysis
-min_part_load_fischer _tropsch,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for the Fischer-Tropsch process
-min_part_load _methanolisation,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for the methanolisation process
-use_fischer_tropsch _waste_heat,--,"{true, false}",Add option for using waste heat of Fischer Tropsch in district heating networks
-use_fuel_cell_waste_heat,--,"{true, false}",Add option for using waste heat of fuel cells in district heating networks
-use_electrolysis_waste _heat,--,"{true, false}",Add option for using waste heat of electrolysis in district heating networks
-electricity_transmission _grid,--,"{true, false}",Switch for enabling/disabling the electricity transmission grid.
-electricity_distribution _grid,--,"{true, false}",Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.
-electricity_distribution _grid_cost_factor,,,Multiplies the investment cost of the electricity distribution grid
-electricity_grid _connection,--,"{true, false}",Add the cost of electricity grid connection for onshore wind and solar
-transmission_efficiency,,,Section to specify transmission losses or compression energy demands of bidirectional links. Splits them into two capacity-linked unidirectional links.
--- enable,--,list,Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission.
--- {carrier},--,str,The carrier of the link.
--- -- efficiency_static,p.u.,float,Length-independent transmission efficiency.
--- -- efficiency_per_1000km,p.u. per 1000 km,float,Length-dependent transmission efficiency ($\eta^{\text{length}}$)
--- -- compression_per_1000km,p.u. per 1000 km,float,Length-dependent electricity demand for compression ($\eta \cdot \text{length}$) implemented as multi-link to local electricity bus.
-H2_network,--,"{true, false}",Add option for new hydrogen pipelines
-gas_network,--,"{true, false}","Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm   <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_   can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well."
-H2_retrofit,--,"{true, false}",Add option for retrofiting existing pipelines to transport hydrogen.
-H2_retrofit_capacity _per_CH4,--,float,"The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity."
-"gas_network_connectivity _upgrade ",--,float,The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network
-gas_distribution_grid,--,"{true, false}",Add a gas distribution grid
-gas_distribution_grid _cost_factor,,,Multiplier for the investment cost of the gas distribution grid
-biomass_spatial,--,"{true, false}",Add option for resolving biomass demand regionally
-biomass_transport,--,"{true, false}",Add option for transporting solid biomass between nodes
-biogas_upgrading_cc,--,"{true, false}",Add option to capture CO2 from biomass upgrading
-conventional_generation,,,Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.
-biomass_to_liquid,--,"{true, false}",Add option for transforming solid biomass into liquid fuel with the same properties as oil
-biomass_to_liquid_cc,--,"{true, false}",Add option for transforming solid biomass into liquid fuel with the same properties as oil with carbon capture
-biosng,--,"{true, false}",Add option for transforming solid biomass into synthesis gas with the same properties as natural gas
-biosng_cc,--,"{true, false}",Add option for transforming solid biomass into synthesis gas with the same properties as natural gas with carbon capture
-bioH2,--,"{true, false}",Add option for transforming solid biomass into hydrogen with carbon capture
-municipal_solid_waste,--,"{true, false}",Add option for municipal solid waste
-limit_max_growth,,,
--- enable,--,"{true, false}",Add option to limit the maximum growth of a carrier
--- factor,p.u.,float,The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth)
--- max_growth,,,
--- -- {carrier},GW,float,The historic maximum growth of a carrier
--- max_relative_growth,,,
--- -- {carrier},p.u.,float,The historic maximum relative growth of a carrier
-enhanced_geothermal,,,
--- enable,--,"{true, false}",Add option to include Enhanced Geothermal Systems
--- flexible,--,"{true, false}",Add option for flexible operation (see Ricks et al. 2024)
--- max_hours,--,int,The maximum hours the reservoir can be charged under flexible operation
--- max_boost,--,float,The maximum boost in power output under flexible operation
--- var_cf,--,"{true, false}",Add option for variable capacity factor (see Ricks et al. 2024)
--- sustainability_factor,--,float,Share of sourced heat that is replenished by the earth's core (see details in `build_egs_potentials.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py>`_)
-solid_biomass_import,,,
--- enable,--,"{true, false}",Add option to include solid biomass imports
--- price,currency/MWh,float,Price for importing solid biomass
--- max_amount,Twh,float,Maximum solid biomass import potential
--- upstream_emissions_factor,p.u.,float,Upstream emissions of solid biomass imports
-imports,,,
--- enable,--,"{true, false}",Add option to include renewable energy imports
--- limit,TWh,float,Maximum allowed renewable energy imports
--- limit_sense,--,"{==, <=, >=}",Sense of the limit
--- price,,"{H2, NH3, methanol, gas, oil}",
--- -- {carrier},currency/MWh,float,Price for importing renewable energy of carrier
diff --git a/doc/configtables/snapshots.csv b/doc/configtables/snapshots.csv
deleted file mode 100644
index fb7654685..000000000
--- a/doc/configtables/snapshots.csv
+++ /dev/null
@@ -1,4 +0,0 @@
-,Unit,Values,Description
-start,--,str or list of datetime-like; e.g. YYYY-MM-DD,Left bound of date range
-end,--,str or list of datetime-like; e.g. YYYY-MM-DD,Right bound of date range
-inclusive,--,"One of {'neither', 'both', 'left', 'right'}","Make the time interval closed to the ``left``, ``right``, or both sides ``both`` or neither side ``None``."
diff --git a/doc/configtables/solar-thermal.csv b/doc/configtables/solar-thermal.csv
deleted file mode 100644
index 4575ae0d4..000000000
--- a/doc/configtables/solar-thermal.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-,Unit,Values,Description
-clearsky_model ,--,"{‘simple’, ‘enhanced’}",Type of clearsky model for diffuse irradiation
-orientation ,--,"{units of degrees, ‘latitude_optimal’}",Panel orientation with slope and azimuth
--- azimuth,float,units of degrees,The angle between the North and the sun with panels on the local horizon
-
--- slope,float,units of degrees,The angle between the ground and the panels
diff --git a/doc/configtables/solar.csv b/doc/configtables/solar.csv
deleted file mode 100644
index f17630189..000000000
--- a/doc/configtables/solar.csv
+++ /dev/null
@@ -1,16 +0,0 @@
-,Unit,Values,Description
-cutout,--,"str|list","Specifies the weather data cutout file(s) to use."
-resource,,,
--- method,--,"Must be 'pv'","A superordinate technology type."
--- panel,--,"One of {'Csi', 'CdTe', 'KANENA'} as defined in `atlite <https://github.com/PyPSA/atlite/tree/master/atlite/resources/solarpanel>`_ . Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available.","Specifies the solar panel technology and its characteristic attributes."
--- orientation,,,
--- -- slope,°,"Realistically any angle in [0., 90.]","Specifies the tilt angle (or slope) of the solar panel. A slope of zero corresponds to the face of the panel aiming directly overhead. A positive tilt angle steers the panel towards the equator."
--- -- azimuth,°,"Any angle in [0., 360.]","Specifies the `azimuth <https://en.wikipedia.org/wiki/Azimuth>`_ orientation of the solar panel. South corresponds to 180.°."
-resource_classes,--,int,"Number of resource classes per clustered region."
-capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of solar panel placement."
-correction_factor,--,float,"A correction factor for the capacity factor (availability) time series."
-corine,--,"Any subset of the `CORINE Land Cover code list <http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-1/corine-land-cover-classes-and/clc_legend.csv/at_download/file>`_","Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement."
-luisa,--,"Any subset of the `LUISA Base Map codes in Annex 1 <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`_","Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement."
-natura,bool,"{true, false}","Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if ``true``."
-clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero."
-excluder_resolution,m,float,"Resolution on which to perform geographical elibility analysis."
diff --git a/doc/configtables/solving.csv b/doc/configtables/solving.csv
deleted file mode 100644
index b389bd868..000000000
--- a/doc/configtables/solving.csv
+++ /dev/null
@@ -1,52 +0,0 @@
-,Unit,Values,Description
-options,,,
--- clip_p_max_pu,p.u.,float,To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.
--- load_shedding,bool/float,"{'true','false', float}",Set to true to add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. The default value is 1e5 €/MWh = 100 €/kWh (see http://journal.frontiersin.org/article/10.3389/fenrg.2015.00055/full). Override this value by setting a float denoting the new cost in MWh. Consider lowering the cost if you are struggling with long solve times.
--- curtailment_mode,bool/float,"{'true','false'}",Fixes the dispatch profiles of generators with time-varying p_max_pu by setting ``p_min_pu = p_max_pu`` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to ``false``.
--- noisy_costs,bool,"{'true','false'}","Add random noise to marginal cost of generators by :math:`\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\mathcal{U}(0.09,0,11)`."
--- skip_iterations,bool,"{'true','false'}","Skip iterating, do not update impedances of branches. Defaults to true."
--- rolling_horizon,bool,"{'true','false'}","Switch for rule :mod:`solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks."
--- seed,--,int,Random seed for increased deterministic behaviour.
--- custom_extra_functionality,--,str,Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to ``rules`` directory.
--- io_api,string,"{'lp','mps','direct'}",Passed to linopy and determines the API used to communicate with the solver. With the ``'lp'`` and ``'mps'`` options linopy passes a file to the solver; with the ``'direct'`` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance.
--- track_iterations,bool,"{'true','false'}",Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in ``network.lines['s_nom_opt_X']`` (where ``X`` labels the iteration)
--- min_iterations,--,int,Minimum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run.
--- max_iterations,--,int,Maximum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run.
--- transmission_losses,int,[0-9],"Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored."
--- linearized_unit_commitment,bool,"{'true','false'}",Whether to optimise using the linearized unit commitment formulation.
--- horizon,--,int,Number of snapshots to consider in each iteration. Defaults to 100.
--- post_discretization,,,
--- -- enable,bool,"{'true','false'}",Switch to enable post-discretization of the network. Disabled by default.
--- -- line_unit_size,MW,float,Discrete unit size of lines in MW.
--- -- line_threshold,,float,The threshold relative to the discrete line unit size beyond which to round up to the next unit.
--- -- link_unit_size,MW,float,Discrete unit size of links in MW by carrier (given in dictionary style).
--- -- -- {carrier},,,
--- -- link_threshold,,float,The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style).
--- -- -- {carrier},,,
--- -- fractional_last_unit_size,bool,"{'true','false'}","When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size."
--- model_kwargs,,,
--- -- solver_dir, str, '/tmp'', Absolute path to the directory where linopy saves files.
--- keep_files, bool, False, Whether to keep LPs and MPS files after solving.
-agg_p_nom_limits,,,Configure per carrier generator nominal capacity constraints for individual countries if ``'CCL'`` is in ``{opts}`` wildcard.
--- agg_offwind,bool,"{'true','false'}",Aggregate together all the types of offwind when writing the constraint (``offwind-all`` as a carrier in the ``.csv`` file). Default is false.
--- agg_solar,bool,"{'true','false'}",Aggregate together all the types of electric solar when writing the constraint (``solar-all`` as a carrier in the ``.csv`` file). Default is false.
--- include_existing,bool,"{'true','false'}",Take existing capacities into account when writing the constraint. Default is false.
--- file,file,path,Reference to ``.csv`` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to ``data/agg_p_nom_minmax.csv``.
-"constraints ",,,
--- CCL,bool,"{'true','false'}",Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at ``electricity: agg_p_nom_limits`` in the configuration. File defaults to ``data/agg_p_nom_minmax.csv``. Does not work with a time resolution resampling.
--- EQ,bool/string,"{'false',`n(c| )``; i.e. ``0.5``-``0.7c``}",Require each country or node to on average produce a minimal share of its total consumption itself. Example: ``EQ0.5c`` demands each country to produce on average at least 50% of its consumption; ``EQ0.5`` demands each node to produce on average at least 50% of its consumption.
--- BAU,bool,"{'true','false'}",Add a per-``carrier`` minimal overall capacity; i.e. at least ``40GW`` of ``OCGT`` in Europe; configured in ``electricity: BAU_mincapacities``
--- SAFE,bool,"{'true','false'}",Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network.
-solver,,,
--- name,--,"One of {'gurobi', 'cplex', 'highs', 'cbc', 'glpk'}; potentially more possible",Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow.
--- options,--,Key listed under ``solver_options``.,Link to specific parameter settings.
-solver_options,,dict,Dictionaries with solver-specific parameter settings.
-oetc,,,Configuration options for Open Energy Transition Computing (OETC) cluster support.
--- name,--,str,Name identifier for the OETC job.
--- authentication_server_url,--,str,URL of the OETC authentication server for job submission.
--- orchestrator_server_url,--,str,URL of the OETC orchestrator server for job management.
--- cpu_cores,--,int,Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8)
--- disk_space_gb,GB,int,Amount of disk space in gigabytes to request for the OETC job.
--- delete_worker_on_error,bool,"{'true','false'}",Whether to delete the worker instance when an error occurs during job execution.
-mem,MB,int,Estimated maximum memory requirement for solving networks.
-mem_logging_frequency,s,int,Interval in seconds at which memory usage is logged.
diff --git a/doc/configtables/toplevel.csv b/doc/configtables/toplevel.csv
deleted file mode 100644
index 22a4fce10..000000000
--- a/doc/configtables/toplevel.csv
+++ /dev/null
@@ -1,18 +0,0 @@
-,Unit,Values,Description
-version,--,0.x.x,"Version of PyPSA-Eur. Descriptive only."
-tutorial,bool,"{true, false}","Switch to retrieve the tutorial data set instead of the full data set."
-logging,,,
--- level,--,"Any of {'INFO', 'WARNING', 'ERROR'}","Restrict console outputs to infos, warnings, or errors only."
--- format,--,"","Custom format for log messages. See `LogRecord <https://docs.python.org/3/library/logging.html#logging.LogRecord>`_ attributes."
-remote,,,
--- ssh,--,,"Optionally specify the SSH of a remote cluster to be synchronized."
--- path,--,,"Optionally specify the file path within the remote cluster to be synchronized."
-secrets,,,
--- corine,--,,"API token for corine dataset retrieval. You can also pass the token by setting the environment variable `CORINE_API_TOKEN`. See `scripts/retrieve_corine_dataset_primary.py` for more instructions."
-overpass_api,,,
--- url,--,string,"Overpass API endpoint URL. See `https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances`_ for available public instances."
--- max_tries,--,integer,"Maximum retry attempts for Overpass API requests. Please be respectful to the Overpass API fair use policy of the individual instances."
--- user_agent,,,"Please provide your own user agent details when using the Overpass API,so the instance operators can contact you if needed."
--- -- project_name,--,string,"Project name used to identify the user agent of the Overpass API requests."
--- -- email,--,string,"Contact email addres for the project using the Overpass API."
--- -- website,--,string,"Website URL for the project using the Overpass API."
diff --git a/doc/configtables/transformers.csv b/doc/configtables/transformers.csv
deleted file mode 100644
index 0ccd8e87e..000000000
--- a/doc/configtables/transformers.csv
+++ /dev/null
@@ -1,4 +0,0 @@
-,Unit,Values,Description
-x,p.u.,float,"Series reactance (per unit, using ``s_nom`` as base power of the transformer. Overwritten if ``type`` is specified."
-s_nom,MVA,float,"Limit of apparent power which can pass through branch. Overwritten if ``type`` is specified."
-type,--,"A `transformer type in PyPSA <https://pypsa.readthedocs.io/en/latest/components.html#transformer-types>`_.","Specifies transformer types to assume for the transformers of the ENTSO-E grid extraction."
diff --git a/doc/configtables/transmission_projects.csv b/doc/configtables/transmission_projects.csv
deleted file mode 100644
index acba48426..000000000
--- a/doc/configtables/transmission_projects.csv
+++ /dev/null
@@ -1,9 +0,0 @@
-,Unit,Values,Description
-enable,bool,"{true,false}",Whether to integrate this transmission projects or not.
-include,--,,"Name of the transmission projects. They should be unique and have to be provided in the `data/transmission_projects` folder."
--- tyndp2020,bool,"{true,false}",Whether to integrate the TYNDP 2020 dataset.
--- nep,bool,"{true,false}",Whether to integrate the German network development plan dataset.
--- manual,bool,"{true,false}",Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file.
-skip,list,,"Type of lines to skip from all transmission projects. Possible values are: ``upgraded_lines``, ``upgraded_links``, ``new_lines``, ``new_links``."
-status,list or dict,,"Status to include into the model as list or as dict with name of project and status to include. Possible values for status are ``under_construction``, ``in_permitting``, ``confirmed``, ``planned_not_yet_permitted``, ``under_consideration``."
-new_link_capacity,--,"{zero,keep}",Whether to set the new link capacity to the provided capacity or set it to zero.
diff --git a/doc/configuration.rst b/doc/configuration.rst
index 55c50f060..e9e140365 100644
--- a/doc/configuration.rst
+++ b/doc/configuration.rst
@@ -15,17 +15,17 @@ PyPSA-Eur has several configuration options which are documented in this section
 Configuration Files
 ===================
 
-Any PyPSA-Eur configuration can be set in a ``.yaml`` file. The default configurations 
-``config/config.default.yaml`` and ``config/plotting.default.yaml`` are maintained in 
+Any PyPSA-Eur configuration can be set in a ``.yaml`` file. The default configurations
+``config/config.default.yaml`` and ``config/plotting.default.yaml`` are maintained in
 the repository and cover all the options that are used/ can be set.
 
-To pass your own configuration, you can create a new file, e.g. ``my_config.yaml``, 
-and specify the options you want to change. They will override the default settings and 
+To pass your own configuration, you can create a new file, e.g. ``my_config.yaml``,
+and specify the options you want to change. They will override the default settings and
 options which are not set, will be inherited from the defaults above.
 
-Another way is to use the ``config/config.yaml`` file, which does not exist in the 
-repository and is also not tracked by git. But snakemake will always use this file if 
-it exists. This way you can run snakemake with a custom config without having to 
+Another way is to use the ``config/config.yaml`` file, which does not exist in the
+repository and is also not tracked by git. But snakemake will always use this file if
+it exists. This way you can run snakemake with a custom config without having to
 specify the config file each time.
 
 Configuration order of precedence is as follows:
@@ -34,7 +34,7 @@ Configuration order of precedence is as follows:
 3. The ``config/config.yaml`` file (optional)
 4. The default configuration files ``config/config.default.yaml`` and ``config/plotting.default.yaml``
 
-To use your custom configuration file, you need to pass it to the ``snakemake`` command 
+To use your custom configuration file, you need to pass it to the ``snakemake`` command
 using the ``--configfile`` option:
 
 .. code:: console
@@ -44,26 +44,75 @@ using the ``--configfile`` option:
 .. warning::
 
     In a previous version of PyPSA-Eur (``<=2025.04.0``), a full copy of the created config
-    was stored in the ``config/config.yaml`` file. This is no longer the case. If the 
+    was stored in the ``config/config.yaml`` file. This is no longer the case. If the
     file exists, snakemake will use it, but no new copy will be created.
 
 
-.. _toplevel_cf:
+.. _version_cf:
 
-Top-level configuration
-=======================
+``version``
+===========
 
-"Remote" indicates the address of a server used for data exchange, often for clusters and data pushing/pulling.
+.. jsonschema:: ../config/schema.json#/properties/version
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
 
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: version:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/toplevel.csv
+.. _tutorial_cf:
+
+``tutorial``
+============
+
+.. jsonschema:: ../config/schema.json#/properties/tutorial
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
+.. literalinclude:: ../config/config.default.yaml
+   :language: yaml
+   :start-at: tutorial:
+   :end-before: # docs
+
+.. _logging_cf:
+
+``logging``
+===========
+
+.. jsonschema:: ../config/schema.json#/$defs/LoggingConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
+.. literalinclude:: ../config/config.default.yaml
+   :language: yaml
+   :start-at: logging:
+   :end-before: # docs
+
+.. _remote_cf:
+
+``remote``
+==========
+
+"Remote" indicates the address of a server used for data exchange, often for clusters and data pushing/pulling.
+
+.. jsonschema:: ../config/schema.json#/$defs/RemoteConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
+.. literalinclude:: ../config/config.default.yaml
+   :language: yaml
+   :start-at: remote:
+   :end-before: # docs
 
 .. _run_cf:
 
@@ -78,30 +127,32 @@ The ``run`` section is used for running and storing scenarios with different con
 It determines the path at which resources, networks and results are stored.
 Therefore the user can run different configurations within the same directory.
 
+.. jsonschema:: ../config/schema.json#/$defs/RunConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: run:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/run.csv
-
 .. _foresight_cf:
 
 ``foresight``
 =============
 
+.. jsonschema:: ../config/schema.json#/$defs/ForesightConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: foresight:
-   :end-at: foresight:
-
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/foresight.csv
+   :end-before: # docs
 
 .. note::
     If you use myopic or perfect foresight, the planning horizon in
@@ -138,31 +189,33 @@ An exemplary dependency graph (starting from the simplification rules) then look
 
 .. image:: img/scenarios.png
 
+.. jsonschema:: ../config/schema.json#/$defs/ScenarioConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: scenario:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/scenario.csv
-
 .. _countries:
 
 ``countries``
 =============
 
+.. jsonschema:: ../config/schema.json#/$defs/CountriesConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: countries:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/countries.csv
-
 .. _snapshots_cf:
 
 ``snapshots``
@@ -170,16 +223,17 @@ An exemplary dependency graph (starting from the simplification rules) then look
 
 Specifies the temporal range to build an energy system model for as arguments to `pandas.date_range <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.date_range.html>`__
 
+.. jsonschema:: ../config/schema.json#/$defs/SnapshotsConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: snapshots:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/snapshots.csv
-
 .. _enable_cf:
 
 ``enable``
@@ -187,31 +241,33 @@ Specifies the temporal range to build an energy system model for as arguments to
 
 Switches for some rules and optional features.
 
+.. jsonschema:: ../config/schema.json#/$defs/EnableConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
-   :start-after: #enable
+   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#enable
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/enable.csv
-
 .. _CO2_budget_cf:
 
 ``co2 budget``
 ==============
 
+.. jsonschema:: ../config/schema.json#/$defs/Co2BudgetConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: co2_budget:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/co2_budget.csv
-
 .. note::
     this parameter is over-ridden if ``Co2Lx`` or ``cb`` is set in
     sector_opts.
@@ -221,16 +277,17 @@ Switches for some rules and optional features.
 ``electricity``
 ===============
 
+.. jsonschema:: ../config/schema.json#/$defs/ElectricityConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: electricity:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/electricity.csv
-
 .. _atlite_cf:
 
 ``atlite``
@@ -238,16 +295,17 @@ Switches for some rules and optional features.
 
 Define and specify the ``atlite.Cutout`` used for calculating renewable potentials and time-series. All options except for ``features`` are directly used as `cutout parameters <https://atlite.readthedocs.io/en/latest/ref_api.html#cutout>`__.
 
+.. jsonschema:: ../config/schema.json#/$defs/AtliteConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: atlite:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/atlite.csv
-
 .. _renewable_cf:
 
 ``renewable``
@@ -256,15 +314,16 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
 ``onwind``
 ----------
 
+.. jsonschema:: ../config/schema.json#/$defs/RenewableConfig/properties/onwind
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: renewable:
-   :end-before:   offwind-ac:
-
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/onwind.csv
+   :end-before: "offwind-ac":
 
 .. note::
    Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
@@ -278,15 +337,24 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
 ``offwind-x``
 --------------
 
+.. jsonschema:: ../config/schema.json#/$defs/RenewableConfig/properties/offwind-ac
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
-   :start-at:   offwind-ac:
-   :end-before:   solar:
+   :start-at: "offwind-ac":
+   :end-before: solar:
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/offwind.csv
+.. jsonschema:: ../config/schema.json#/$defs/RenewableConfig/properties/offwind-dc
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+.. jsonschema:: ../config/schema.json#/$defs/RenewableConfig/properties/offwind-float
+   :lift_description:
+   :hide_key: /**/additionalProperties
 
 .. note::
    Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
@@ -301,16 +369,17 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
 ``solar``
 ---------------
 
+.. jsonschema:: ../config/schema.json#/$defs/RenewableConfig/properties/solar
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at:   solar:
    :end-before:   hydro:
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/solar.csv
-
 .. note::
    Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels.
    Correction factor determined by comparing uncorrected area-weighted full-load hours to those
@@ -323,17 +392,18 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
 ``hydro``
 ---------------
 
+.. jsonschema:: ../config/schema.json#/$defs/RenewableConfig/properties/hydro
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at:   hydro:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/hydro.csv
-
-.. _lines_cf:
+.. _conventional_cf:
 
 ``conventional``
 ================
@@ -345,91 +415,99 @@ with country specific values. Then, the values are read in and applied to all
 generators of the given carrier in the given country. Note that the value(s)
 overwrite the existing values.
 
+.. jsonschema:: ../config/schema.json#/$defs/ConventionalConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at:   conventional:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/conventional.csv
+.. _lines_cf:
 
 ``lines``
-=============
+=========
+
+.. jsonschema:: ../config/schema.json#/$defs/LinesConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
 
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: lines:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/lines.csv
-
 .. _links_cf:
 
 ``links``
 =============
 
+.. jsonschema:: ../config/schema.json#/$defs/LinksConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: links:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/links.csv
+.. _transmission_projects_cf:
 
-.. _transformers_cf:
-
-``transmission projects``
+``transmission_projects``
 =========================
 
 Allows to define additional transmission projects that will be added to the base network, e.g., from the TYNDP 2020 dataset. The projects are read in from the CSV files in the subfolder of ``data/transmission_projects/``. New transmission projects, e.g. from TYNDP 2024, can be added in a new subfolder of transmission projects, e.g. ``data/transmission_projects/tyndp2024`` while extending the list of ``transmission_projects`` in the ``config.yaml`` by ``tyndp2024``. The CSV files in the project folder should have the same columns as the CSV files in the template folder ``data/transmission_projects/template``.
 
+.. jsonschema:: ../config/schema.json#/$defs/TransmissionProjectsConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: transmission_projects:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/transmission_projects.csv
-
 .. _transformers_cf:
 
 ``transformers``
 ================
 
+.. jsonschema:: ../config/schema.json#/$defs/TransformersConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: transformers:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/transformers.csv
-
 .. _load_cf:
 
 ``load``
 =============
 
+.. jsonschema:: ../config/schema.json#/$defs/LoadConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
-   :start-after: # docs-load
+   :start-at: load:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/load.csv
-
 .. _energy_cf:
 
 ``energy``
@@ -438,16 +516,17 @@ Allows to define additional transmission projects that will be added to the base
 .. note::
    Only used for sector-coupling studies.
 
+.. jsonschema:: ../config/schema.json#/$defs/EnergyConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: energy:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/energy.csv
-
 .. _biomass_cf:
 
 ``biomass``
@@ -456,16 +535,17 @@ Allows to define additional transmission projects that will be added to the base
 .. note::
    Only used for sector-coupling studies.
 
+.. jsonschema:: ../config/schema.json#/$defs/BiomassConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: biomass:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/biomass.csv
-
 The list of available biomass is given by the category in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`__, namely:
 
 - Agricultural waste
@@ -494,16 +574,17 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
 .. note::
    Only used for sector-coupling studies.
 
+.. jsonschema:: ../config/schema.json#/$defs/SolarThermalConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: solar_thermal:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/solar-thermal.csv
-
 .. _existing_capacities_cf:
 
 ``existing_capacities``
@@ -512,16 +593,17 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
 .. note::
    Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
 
+.. jsonschema:: ../config/schema.json#/$defs/ExistingCapacitiesConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: existing_capacities:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/existing_capacities.csv
-
 .. _sector_cf:
 
 ``sector``
@@ -530,15 +612,18 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
 .. note::
    Only used for sector-coupling studies.
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: sector:
-   :end-before: # docs
+.. dropdown:: Details
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/sector.csv
+   .. jsonschema:: ../config/schema.json#/$defs/SectorConfig
+      :lift_description:
+      :hide_key: /**/additionalProperties
+
+.. dropdown:: YAML Syntax
+
+   .. literalinclude:: ../config/config.default.yaml
+      :language: yaml
+      :start-at: sector:
+      :end-before: # docs
 
 .. _industry_cf:
 
@@ -548,47 +633,50 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
 .. note::
    Only used for sector-coupling studies.
 
+.. jsonschema:: ../config/schema.json#/$defs/IndustryConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
-   :start-at: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#industry
+   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#industry
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/industry.csv
-
 .. _costs_cf:
 
 ``costs``
 =============
 
+.. jsonschema:: ../config/schema.json#/$defs/CostsConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: costs:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/costs.csv
-
 
 .. _clustering_cf:
 
 ``clustering``
 ==============
 
+.. jsonschema:: ../config/schema.json#/$defs/ClusteringConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
    :start-at: clustering:
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/clustering.csv
-
 .. tip::
    use ``min`` in ``p_nom_max:`` for more conservative assumptions.
 
@@ -597,15 +685,32 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
 ``adjustments``
 ===============
 
+.. jsonschema:: ../config/schema.json#/$defs/AdjustmentsConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
-   :start-at: adjustments:
+   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#adjustments
    :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/adjustments.csv
+.. _solving_cf:
+
+``solving``
+===========
+
+.. jsonschema:: ../config/schema.json#/$defs/SolvingConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
+.. literalinclude:: ../config/config.default.yaml
+   :language: yaml
+   :start-at: solving:
+   :end-before: # docs
 
 .. _data_cf:
 
@@ -622,29 +727,54 @@ Some datasets support `primary` or `build` as a source option, meaning that the
 data source or build it from the latest available data.
 See the `data/versions.csv` file for all available datasets and their sources/versions that are supported.
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: data:
-   :end-before: # docs
+.. dropdown:: Details
+
+   .. jsonschema:: ../config/schema.json#/$defs/DataConfig
+      :lift_description:
+      :hide_key: /**/additionalProperties
+
+.. dropdown:: YAML Syntax
+
+   .. literalinclude:: ../config/config.default.yaml
+      :language: yaml
+      :start-at: data:
+      :end-before: # docs
 
 .. csv-table::
    :header-rows: 1
    :widths: 22,7,22,33
    :file: configtables/data.csv
 
-.. _solving_cf:
+.. _overpass_api_cf:
 
-``solving``
-=============
+``overpass_api``
+================
+
+.. jsonschema:: ../config/schema.json#/$defs/OverpassApiConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
 
 .. literalinclude:: ../config/config.default.yaml
    :language: yaml
-   :start-at: solving:
+   :start-at: overpass_api:
+   :end-before: # docs
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/solving.csv
+.. _secrets_cf:
+
+``secrets``
+===========
+
+.. jsonschema:: ../config/schema.json#/$defs/SecretsConfig
+   :lift_description:
+   :hide_key: /**/additionalProperties
+
+**YAML Syntax**
+
+.. literalinclude:: ../config/config.default.yaml
+   :language: yaml
+   :start-at: secrets:
 
 .. _plotting_cf:
 
diff --git a/doc/contributing.rst b/doc/contributing.rst
index d24a011a7..c8d4f59d5 100644
--- a/doc/contributing.rst
+++ b/doc/contributing.rst
@@ -45,3 +45,9 @@ We strive to keep documentation useful and up to date for all PyPSA users. If yo
 #. Compile your changes by running the following command in your terminal in the ``doc`` folder: ``pixi run build-docs doc/_build html``
    You may encounter some warnings, but end up with a message such as ``build succeeded, XX warnings.``. html files to review your changes can then be found under ``doc/_build/html``.
 #. Contribute your documentation in a pull request (`here is a guide <https://help.github.com/en/articles/about-pull-requests>`_).
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Developer Guides
+
+   validation_dev
diff --git a/doc/data_sources.rst b/doc/data_sources.rst
index 15cdc37fd..4aae62643 100644
--- a/doc/data_sources.rst
+++ b/doc/data_sources.rst
@@ -27,7 +27,7 @@ To ensure reproducibility, PyPSA-Eur uses a versioning system for data sources w
 
 .. note::
     For users, selection and control over which is managed through the configuration file.
-    See :ref:`_data_cf` for details.
+    See :ref:`data_cf` for details.
 
 ##########################################
 Creating a new version of the data sources
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index e6f493cba..163d3cd1b 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,13 @@ Release Notes
 Upcoming Release
 ================
 
+* Important: PyPSA-Eur now uses a validation schema for configuration files. The schema 
+  also contains the default values for all known configuration options, which means 
+  `config/config.default.yaml` still exists and can be used, but will be automatically
+  exported from the schema. Changes to the default config, therefore now require the
+  schema to be updated. Find a detailed explanation in the contributors documentation
+  (https://github.com/PyPSA/pypsa-eur/pull/1912).
+  
 * Fix bugs when using PyPSA-Eur as a Snakemake module by making sure that all file paths are defined relative to a rule's input or an output (https://github.com/PyPSA/pypsa-eur/pull/1967).
 
 * Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955).
diff --git a/doc/requirements.txt b/doc/requirements.txt
deleted file mode 100644
index 4b87afaa7..000000000
--- a/doc/requirements.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: CC0-1.0
-
-setuptools
-sphinx
-sphinx_book_theme
-sphinxcontrib-bibtex
-myst-parser  # recommark is deprecated, https://stackoverflow.com/a/71660856/13573820
-
-pypsa
-powerplantmatching>=0.5.5
-atlite>=0.2.9
-dask[distributed]
-matplotlib>3.5.1,<3.6
-tabula-py
-
-# HTML map retrieval
-requests
-
-# cartopy
-scikit-learn
-pyyaml
-seaborn
-memory_profiler
-tables
-descartes
-fiona
diff --git a/doc/retrieve.rst b/doc/retrieve.rst
index 93f05cb52..fb52cb166 100644
--- a/doc/retrieve.rst
+++ b/doc/retrieve.rst
@@ -48,7 +48,7 @@ The :ref:`tutorial` uses a smaller cutout than required for the full model (30 M
 
 .. seealso::
     Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`toplevel_cf`
+    :ref:`tutorial_cf` and :ref:`enable_cf`.
 
 **Outputs**
 
diff --git a/doc/validation_dev.rst b/doc/validation_dev.rst
new file mode 100644
index 000000000..dae7063fb
--- /dev/null
+++ b/doc/validation_dev.rst
@@ -0,0 +1,170 @@
+.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+..
+.. SPDX-License-Identifier: CC-BY-4.0
+
+##########################################
+Validation
+##########################################
+
+PyPSA-Eur uses `Pydantic <https://docs.pydantic.dev/>`_ models for validation.
+This system provides type checking, default values, and documentation in a single place.
+
+Configuration
+=============
+
+The configuration validation system consists of:
+
+- **Pydantic models** in ``scripts/lib/validation/config/`` that define all options and validates the snakemake config.
+- **Auto-generated files**: ``config/config.default.yaml`` and ``config/schema.json``.
+
+Adding a New Config Option
+--------------------------
+
+To add a new option to an existing config section, edit the corresponding module in
+``scripts/lib/validation/config/``. Each field uses Pydantic's ``Field()`` function.
+
+For example, the ``logging`` section in ``scripts/lib/validation/config/__init__.py``:
+
+.. code-block:: python
+
+   from typing import Literal
+   from pydantic import Field
+   from scripts.lib.validation.config._base import ConfigModel
+
+   class LoggingConfig(ConfigModel):
+       """Configuration for top level `logging` settings."""
+
+       # ... existing fields ...
+
+       # An option with default 0.5, float type and between 0 and 1. If anything else is passed,
+       # the validation will fail
+       new_option: float = Field(
+           0.5,  # default value
+           description="Threshold for the new feature.",  # shown in docs and IDE
+           ge=0,  # greater than or equal
+           le=1,  # less than or equal
+           examples=[0.3, 0.7],  # example values for docs
+       )
+
+For more Field parameters, see the `Pydantic Field documentation <https://docs.pydantic.dev/latest/concepts/fields/>`__.
+
+Adding a New Config Section
+---------------------------
+
+To add a nested config section, define a helper class and add it to an existing config.
+For example, adding a ``file`` section to ``LoggingConfig``:
+
+.. code-block:: python
+
+   class _LoggingFileConfig(ConfigModel):
+       """Configuration for logging to file."""
+
+       enabled: bool = Field(False, description="Enable file logging.")
+       path: str = Field("logs/pypsa.log", description="Log file path.")
+       format: str | None = Field(None, description="Custom log format for that file.")
+
+
+   class LoggingConfig(ConfigModel):
+       """Configuration for top level `logging` settings."""
+
+       # ... existing fields ...
+
+       file: _LoggingFileConfig = Field(
+           default_factory=_LoggingFileConfig,
+           description="File logging configuration.",
+       )
+
+
+There is one python module for each top level configuration. Helper classes for nested
+keys usee underscore prefix (e.g., ``_LoggingFileConfig``) by convention.
+
+Regenerating Config Files
+-------------------------
+
+Snakemake will only read from the ``config/config.default.yaml``, which needs to be generated
+after making changes to the Pydantic model. To regenerate the default config and JSON
+schema:
+
+.. code-block:: console
+
+   $ pixi run generate-config
+
+This updates ``config/config.default.yaml`` and ``config/schema.json``.
+For example, the two examples above would now generate:
+
+.. code-block:: yaml
+
+   logging:
+     level: INFO
+     format: "%(levelname)s:%(name)s:%(message)s"
+     new_option: 0.5
+     file:
+       enabled: false
+       path: logs/pypsa.log
+       format: null
+
+Always commit these regenerated files alongside your model changes.
+
+Extending for Soft-Forks
+------------------------
+
+If you maintain a soft-fork of PyPSA-Eur with custom config options, you have two approaches:
+
+**Allow extra fields**: The ``ConfigSchema`` uses ``extra="allow"`` by default, so
+unrecognized config keys won't cause validation errors. Your custom options will pass
+through without type checking. Only if you changed existing config settings, you will
+need to adjust the schema. But you will lose the sync of Pydantic model and defaults
+YAML, which is currently enforced via an upstream CI job.
+
+**Extend the schema**: It is better to add full validation of your additional
+configuration, which means you will need to update the Pydantic model as explained above.
+
+Custom Validators
+-----------------
+
+For validation logic beyond simple type checks and constraints, Pydantic provides
+``field_validator`` (for single fields) and ``model_validator`` (for cross-field validation).
+
+**Field Validator**: Validate a single field's value. For example, ensuring the log level
+is uppercase:
+
+.. code-block:: python
+
+   from pydantic import Field, field_validator
+   from scripts.lib.validation.config._base import ConfigModel
+
+   class LoggingConfig(ConfigModel):
+       """Configuration for top level `logging` settings."""
+
+       level: str = Field("INFO", description="Logging level.")
+
+       @field_validator("level")
+       @classmethod
+       def validate_level(cls, v):
+           if v.upper() != v:
+               raise ValueError("Logging level must be uppercase (e.g., 'INFO', 'DEBUG').")
+           return v
+
+**Model Validator**: Validate relationships between multiple fields. For example,
+ensuring the file path is set when file logging is enabled:
+
+.. code-block:: python
+
+   from pydantic import Field, model_validator
+   from scripts.lib.validation.config._base import ConfigModel
+
+   class LoggingConfig(ConfigModel):
+       """Configuration for top level `logging` settings."""
+
+       file_enabled: bool = Field(False, description="Enable file logging.")
+       file_path: str | None = Field(None, description="Log file path.")
+
+       @model_validator
+       def check_file_path_required(self):
+           if self.file_enabled and not self.file_path:
+               raise ValueError("file_path is required when file_enabled is True.")
+           return self
+
+Again, find more information in the Pydantic documentation on
+`Field Validators <https://docs.pydantic.dev/latest/concepts/validators/#field-validators>`_
+and `Model Validators <https://docs.pydantic.dev/latest/concepts/validators/#model-validators>`_.
diff --git a/pixi.lock b/pixi.lock
index ac6a5b162..9489a907a 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,6 +5,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -13,7 +15,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py312h5d8c7f2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py313hd6074c6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
@@ -23,10 +25,10 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py312h4c3975b_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py313h07c4f96_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py312h7900ff3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py313h78bf25f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.5-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
@@ -54,7 +56,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.11.0-h3d7a050_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.13.0-hf38f1be_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.17.0-pyhd8ed1ab_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.7.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.8.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/google-crc32c-1.8.0-py313h5327936_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ruamel.yaml-0.19.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ruamel.yaml.clib-0.2.15-py313h5fd188c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.14.11-h37e10c4_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.0.0-pyh6dadd2b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh6dadd2b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
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   timestamp: 1767525761337
-- conda: https://conda.anaconda.org/conda-forge/noarch/aiohttp-3.13.3-pyhf64b827_0.conda
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-  md5: abc989db55212705beb173f9963cb41a
+- conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py313hd6074c6_0.conda
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   - attrs >=17.3.0
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   - multidict >=4.5,<7.0
   - propcache >=0.2.0
-  - python >=3.10
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - yarl >=1.17.0,<2.0
+  license: MIT AND Apache-2.0
+  license_family: Apache
+  size: 1028803
+  timestamp: 1767525054962
+- conda: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.3-py312h80cd6c1_0.conda
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+  - multidict >=4.5,<7.0
+  - propcache >=0.2.0
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   - yarl >=1.17.0,<2.0
-  track_features:
-  - aiohttp_no_compile
   license: MIT AND Apache-2.0
   license_family: Apache
-  size: 479374
-  timestamp: 1767524816758
+  size: 993471
+  timestamp: 1767525057464
 - conda: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.3-py313h537e735_0.conda
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   license_family: Apache
   size: 1000418
   timestamp: 1767524921989
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.13.3-py312h9f8c436_0.conda
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+  - propcache >=0.2.0
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  - yarl >=1.17.0,<2.0
+  license: MIT AND Apache-2.0
+  license_family: Apache
+  size: 989060
+  timestamp: 1767524911343
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.13.3-py313h53c0e3e_0.conda
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   size: 1001234
   timestamp: 1767525001456
+- conda: https://conda.anaconda.org/conda-forge/win-64/aiohttp-3.13.3-py312h6b91d65_0.conda
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+  - propcache >=0.2.0
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - yarl >=1.17.0,<2.0
+  license: MIT AND Apache-2.0
+  license_family: Apache
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 - conda: https://conda.anaconda.org/conda-forge/win-64/aiohttp-3.13.3-py313h51e1470_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py312h4c3975b_2.conda
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-  md5: 1567f06d717246abab170736af8bad1b
+- conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py313h07c4f96_2.conda
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
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-  timestamp: 1762509443854
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-25.1.0-py313hf050af9_2.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py312h7900ff3_0.conda
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-  md5: d52bf8682166142541a533c7a15d4780
+- conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py313h78bf25f_0.conda
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: LGPL-2.1-or-later
   license_family: LGPL
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-  timestamp: 1767498464921
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-- conda: https://conda.anaconda.org/conda-forge/noarch/async-timeout-5.0.1-pyhcf101f3_2.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.9.1-h48c9088_3.conda
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+  - aws-c-http >=0.10.4,<0.10.5.0a0
+  - aws-c-sdkutils >=0.2.4,<0.2.5.0a0
+  - aws-c-common >=0.12.4,<0.12.5.0a0
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   timestamp: 1764765235190
+- conda: https://conda.anaconda.org/conda-forge/osx-64/aws-c-auth-0.9.1-h2e727e9_3.conda
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+  - aws-c-http >=0.10.4,<0.10.5.0a0
+  - aws-c-cal >=0.9.2,<0.9.3.0a0
+  - aws-c-common >=0.12.4,<0.12.5.0a0
+  license: Apache-2.0
+  license_family: APACHE
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-auth-0.9.1-h41ebd0a_3.conda
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+  - aws-c-http >=0.10.4,<0.10.5.0a0
+  - aws-c-sdkutils >=0.2.4,<0.2.5.0a0
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.2-he7b75e1_1.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/aws-c-cal-0.9.2-h6f29d6d_1.conda
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   size: 20342
   timestamp: 1764017988883
+- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb03c661_4.conda
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+  md5: ca4ed8015764937c81b830f7f5b68543
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+  - libbrotlidec 1.1.0 hb03c661_4
+  - libbrotlienc 1.1.0 hb03c661_4
+  - libgcc >=14
+  license: MIT
+  license_family: MIT
+  size: 19615
+  timestamp: 1756599385418
 - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
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@@ -7665,6 +8469,17 @@ packages:
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   size: 21021
   timestamp: 1764017221344
+- conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.1.0-h1c43f85_4.conda
+  sha256: 549ea0221019cfb4b370354f2c3ffbd4be1492740e1c73b2cdf9687ed6ad7364
+  md5: 718fb8aa4c8cb953982416db9a82b349
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+  - libbrotlidec 1.1.0 h1c43f85_4
+  - libbrotlienc 1.1.0 h1c43f85_4
+  license: MIT
+  license_family: MIT
+  size: 17311
+  timestamp: 1756599830763
 - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.2.0-h8616949_1.conda
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@@ -7676,6 +8491,17 @@ packages:
   license_family: MIT
   size: 18589
   timestamp: 1764017635544
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-bin-1.1.0-h6caf38d_4.conda
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+  md5: ab57f389f304c4d2eb86d8ae46d219c3
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+  - libbrotlidec 1.1.0 h6caf38d_4
+  - libbrotlienc 1.1.0 h6caf38d_4
+  license: MIT
+  license_family: MIT
+  size: 17373
+  timestamp: 1756599741779
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-bin-1.2.0-hc919400_1.conda
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   timestamp: 1764017952449
-- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
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-  md5: 64088dffd7413a2dd557ce837b4cbbdb
+- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h1289d80_4.conda
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+  md5: fd0e7746ed0676f008daacb706ce69e4
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   - libgcc >=14
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   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   constrains:
-  - libbrotlicommon 1.2.0 hb03c661_1
+  - libbrotlicommon 1.1.0 hb03c661_4
   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py314h3de4e8d_1.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
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   - libgcc >=14
   - libstdcxx >=14
-  - python >=3.14,<3.15.0a0
-  - python_abi 3.14.* *_cp314
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   constrains:
   - libbrotlicommon 1.2.0 hb03c661_1
   license: MIT
   license_family: MIT
-  size: 367376
-  timestamp: 1764017265553
+  size: 367721
+  timestamp: 1764017371123
+- conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312h462f358_4.conda
+  sha256: f5b7f28d19f21c2f5bd4608b2a075e872727dae8409303f53c756f44044a3a7f
+  md5: 6ed15514446509f33df546dcc1752eb1
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+  - __osx >=10.13
+  - libcxx >=19
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  constrains:
+  - libbrotlicommon 1.1.0 h1c43f85_4
+  license: MIT
+  license_family: MIT
+  size: 369380
+  timestamp: 1756600123615
 - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.2.0-py313h8d69aa9_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.2.0-py314h3262eb8_1.conda
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-  md5: 389d75a294091e0d7fa5a6fc683c4d50
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h6b01ec3_4.conda
+  sha256: e45f24660a89c734c3d54f185ecdc359e52a5604d7e0b371e35dce042fa3cf3a
+  md5: 0d50ab05d6d8fa7a38213c809637ba6d
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-  - __osx >=10.13
+  - __osx >=11.0
   - libcxx >=19
-  - python >=3.14,<3.15.0a0
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
   constrains:
-  - libbrotlicommon 1.2.0 h8616949_1
+  - libbrotlicommon 1.1.0 h6caf38d_4
   license: MIT
   license_family: MIT
-  size: 390153
-  timestamp: 1764017784596
+  size: 341750
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   size: 359568
   timestamp: 1764018359470
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.2.0-py314h3daef5d_1.conda
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-  md5: f9501812fe7c66b6548c7fcaa1c1f252
+- conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.2.0-py312hc6d9e41_1.conda
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+  md5: e8e7a6346a9e50d19b4daf41f367366f
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-  - libcxx >=19
-  - python >=3.14,<3.15.0a0
-  - python >=3.14,<3.15.0a0 *_cp314
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   constrains:
-  - libbrotlicommon 1.2.0 hc919400_1
+  - libbrotlicommon 1.2.0 hfd05255_1
   license: MIT
   license_family: MIT
-  size: 359854
-  timestamp: 1764018178608
+  size: 335482
+  timestamp: 1764018063640
 - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.2.0-py313h3ebfc14_1.conda
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@@ -7803,21 +8644,6 @@ packages:
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   timestamp: 1764018132514
-- conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.2.0-py314he701e3d_1.conda
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-  - python_abi 3.14.* *_cp314
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  constrains:
-  - libbrotlicommon 1.2.0 hfd05255_1
-  license: MIT
-  license_family: MIT
-  size: 335782
-  timestamp: 1764018443683
 - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda
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   md5: 51a19bba1b8ebfb60df25cde030b7ebc
@@ -7985,6 +8811,31 @@ packages:
   license_family: BSD
   size: 11065
   timestamp: 1615209567874
+- conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda
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+  md5: 09262e66b19567aff4f592fb53b28760
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+  - fontconfig >=2.15.0,<3.0a0
+  - fonts-conda-ecosystem
+  - freetype >=2.12.1,<3.0a0
+  - icu >=75.1,<76.0a0
+  - libexpat >=2.6.4,<3.0a0
+  - libgcc >=13
+  - libglib >=2.82.2,<3.0a0
+  - libpng >=1.6.47,<1.7.0a0
+  - libstdcxx >=13
+  - libxcb >=1.17.0,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pixman >=0.44.2,<1.0a0
+  - xorg-libice >=1.1.2,<2.0a0
+  - xorg-libsm >=1.2.5,<2.0a0
+  - xorg-libx11 >=1.8.11,<2.0a0
+  - xorg-libxext >=1.3.6,<2.0a0
+  - xorg-libxrender >=0.9.12,<0.10.0a0
+  license: LGPL-2.1-only or MPL-1.1
+  size: 978114
+  timestamp: 1741554591855
 - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
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   md5: bb6c4808bfa69d6f7f6b07e5846ced37
@@ -8030,6 +8881,42 @@ packages:
   license: LGPL-2.1-only or MPL-1.1
   size: 896676
   timestamp: 1766416262450
+- conda: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.18.4-h950ec3b_0.conda
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+  md5: 32403b4ef529a2018e4d8c4f2a719f16
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+  - fontconfig >=2.15.0,<3.0a0
+  - fonts-conda-ecosystem
+  - freetype >=2.12.1,<3.0a0
+  - icu >=75.1,<76.0a0
+  - libcxx >=18
+  - libexpat >=2.6.4,<3.0a0
+  - libglib >=2.82.2,<3.0a0
+  - libpng >=1.6.47,<1.7.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pixman >=0.44.2,<1.0a0
+  license: LGPL-2.1-only or MPL-1.1
+  size: 893252
+  timestamp: 1741554808521
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/cairo-1.18.4-h6a3b0d2_0.conda
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+  md5: 38f6df8bc8c668417b904369a01ba2e2
+  depends:
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+  - fontconfig >=2.15.0,<3.0a0
+  - fonts-conda-ecosystem
+  - freetype >=2.12.1,<3.0a0
+  - icu >=75.1,<76.0a0
+  - libcxx >=18
+  - libexpat >=2.6.4,<3.0a0
+  - libglib >=2.82.2,<3.0a0
+  - libpng >=1.6.47,<1.7.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pixman >=0.44.2,<1.0a0
+  license: LGPL-2.1-only or MPL-1.1
+  size: 896173
+  timestamp: 1741554795915
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cairo-1.18.4-he0f2337_1.conda
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   md5: 36200ecfbbfbcb82063c87725434161f
@@ -8049,26 +8936,6 @@ packages:
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   size: 900035
   timestamp: 1766416416791
-- conda: https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.4-h477c42c_1.conda
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-  - fonts-conda-ecosystem
-  - icu >=78.1,<79.0a0
-  - libexpat >=2.7.3,<3.0a0
-  - libfreetype >=2.14.1
-  - libfreetype6 >=2.14.1
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-  - libzlib >=1.3.1,<2.0a0
-  - pixman >=0.46.4,<1.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  license: LGPL-2.1-only or MPL-1.1
-  size: 1537783
-  timestamp: 1766416059188
 - conda: https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.4-h5782bbf_0.conda
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   md5: 20e32ced54300292aff690a69c5e7b97
@@ -8107,9 +8974,9 @@ packages:
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   size: 1541225
   timestamp: 1756883734658
-- conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py314ha0b5721_1.conda
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-  md5: fe89c5fa422f215b0d75046ecd4667de
+- conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py313h08cd8bf_1.conda
+  sha256: 0ee1bf217caa0841b08d9182575cbf951bf40686afbfae5286cdd0e10ad20071
+  md5: a0d8dc5c90850d9f1a79f69c98aef0ff
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   - libgcc >=14
@@ -8119,13 +8986,31 @@ packages:
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   - pyproj >=3.3.1
   - pyshp >=2.3
-  - python >=3.14.0rc2,<3.15.0a0
-  - python_abi 3.14.* *_cp314
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - shapely >=2.0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 1554872
+  timestamp: 1756883736828
+- conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py312h86abcb1_1.conda
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+  md5: 63eee5b20461ca89c738160bd502363e
+  depends:
+  - __osx >=10.13
+  - libcxx >=19
+  - matplotlib-base >=3.6
+  - numpy >=1.23,<3
+  - packaging >=21
+  - pyproj >=3.3.1
+  - pyshp >=2.3
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   - shapely >=2.0
   license: BSD-3-Clause
   license_family: BSD
-  size: 1557508
-  timestamp: 1756883731412
+  size: 1520207
+  timestamp: 1756884040833
 - conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py313h2f264a9_1.conda
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   md5: 6d810702a3cccf099574172e96807159
@@ -8144,24 +9029,25 @@ packages:
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   timestamp: 1756883995278
-- conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py314hc4308db_1.conda
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-  md5: 86496825870c3bc6af922d58ed3ba613
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/cartopy-0.25.0-py312h5978115_1.conda
+  sha256: b4e4c3c765da889c4de984f0e3d290ed546efd78b81b3494bd34e7f87f95cbc5
+  md5: cd69cf54cee41b81bbed095a5e2a61d7
   depends:
-  - __osx >=10.13
+  - __osx >=11.0
   - libcxx >=19
   - matplotlib-base >=3.6
   - numpy >=1.23,<3
   - packaging >=21
   - pyproj >=3.3.1
   - pyshp >=2.3
-  - python >=3.14.0rc2,<3.15.0a0
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
   - shapely >=2.0
   license: BSD-3-Clause
   license_family: BSD
-  size: 1538463
-  timestamp: 1756884078733
+  size: 1518509
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cartopy-0.25.0-py313h7d16b84_1.conda
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@@ -8181,25 +9067,25 @@ packages:
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   size: 1526507
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+  - python >=3.12,<3.13.0a0 *_cpython
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+  - python >=3.13,<3.14.0a0
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   license: PROPRIETARY
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+  - python >=3.12,<3.13.0a0
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   timestamp: 1767631176024
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+  - libcxx >=19
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+  - libprotobuf >=6.31.1,<6.31.2.0a0
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   timestamp: 1760295839166
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   timestamp: 1766092633429
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   timestamp: 1766093828044
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgdal-core-3.12.1-ha937536_0.conda
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   size: 193450
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.45-hc749103_0.conda
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@@ -20694,6 +23520,17 @@ packages:
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/pcre2-10.45-hf733adb_0.conda
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@@ -20705,6 +23542,17 @@ packages:
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   license: BSD-3-Clause
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+  - vc >=14.2
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   constrains:
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   license: BSD-3-Clause
   license_family: BSD
-  size: 471093
-  timestamp: 1760394536621
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   - libgcc >=14
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+  - __glibc >=2.17,<3.0.a0
+  - python_abi 3.13.* *_cp313
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   license: BSD-3-Clause
   license_family: BSD
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+  - __osx >=11.0
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+  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
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+  - vc >=14.3,<15
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+  - ucrt >=10.0.20348.0
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   license: BSD-3-Clause
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+  - python_abi 3.13.* *_cp313
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   license_family: MIT
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+  - python_abi 3.13.* *_cp313
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+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: Apache-2.0
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-  - python_abi 3.14.* *_cp314
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyarrow-21.0.0-py312h1f38498_1.conda
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-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: Apache-2.0
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-  - python_abi 3.14.* *_cp314
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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+  - numpy >=1.21,<3
+  license: Apache-2.0
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/pyarrow-core-21.0.0-py312hefc66a4_1_cpu.conda
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   - numpy >=1.21,<3
   license: Apache-2.0
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   - libzlib >=1.3.1,<2.0a0
-  - python >=3.14,<3.15.0a0
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
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-  - apache-arrow-proc * cpu
   - numpy >=1.21,<3
+  - apache-arrow-proc * cpu
   license: Apache-2.0
   license_family: APACHE
-  size: 4792989
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-  - python >=3.14,<3.15.0a0
-  - python >=3.14,<3.15.0a0 *_cp314
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
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   - apache-arrow-proc * cpu
   license: Apache-2.0
   license_family: APACHE
-  size: 3912295
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-  - python_abi 3.12.* *_cp312
+  - python_abi 3.13.* *_cp313
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   license: MIT
   license_family: MIT
-  size: 1935221
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+  - libgcc >=13
+  - libgdal-core >=3.10.3,<3.11.0a0
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   license: MIT
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
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+  timestamp: 1764402539337
+- conda: https://conda.anaconda.org/conda-forge/osx-64/pyogrio-0.11.0-py312h4bcfd6b_0.conda
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+  - python_abi 3.12.* *_cp312
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   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/pyogrio-0.12.1-py314h687fbad_0.conda
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-  md5: adbb3fccb1336078d0263369698285cc
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyogrio-0.11.0-py312hfd5e53c_0.conda
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+  - __osx >=11.0
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+  - libgdal-core >=3.10.3,<3.11.0a0
   - numpy
   - packaging
-  - python >=3.14,<3.15.0a0
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
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+- conda: https://conda.anaconda.org/conda-forge/win-64/pyogrio-0.11.0-py312h6e88f47_0.conda
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-  - libcxx >=19
-  - libgdal-core >=3.12.0,<3.13.0a0
+  - libgdal-core >=3.10.3,<3.11.0a0
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   - packaging
-  - python >=3.14,<3.15.0a0
-  - python >=3.14,<3.15.0a0 *_cp314
-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
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   license: MIT
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-- conda: https://conda.anaconda.org/conda-forge/win-64/pyogrio-0.12.1-py314h1c1cb05_0.conda
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-  - python_abi 3.14.* *_cp314
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - setuptools
+  license: BSD-3-Clause
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/pyomo-6.9.5-py312h69bf00f_0.conda
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   license: BSD-3-Clause
   license_family: BSD
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+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
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   license: BSD-3-Clause
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+  - python >=3.12,<3.13.0a0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/pyomo-6.9.5-py314h13fbf68_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.2-py312h9b6a7d9_2.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.2-py312h1c88c49_1.conda
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   timestamp: 1758892258120
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+  - python_abi 3.13.* *_cp313
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+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
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-  - python_abi 3.14.* *_cp314
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
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+  - __osx >=10.13
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.7,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 462661
+  timestamp: 1762512711429
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_1.conda
+  sha256: af843b0fe62d128a70f91dc954b2cb692f349a237b461788bd25dd928d0d1ef8
+  md5: 9300889791d4decceea3728ad3b423ec
+  depends:
+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - python 3.12.* *_cpython
+  - __osx >=11.0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.7,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 390920
+  timestamp: 1762512713481
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
   sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
   md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
diff --git a/pixi.toml b/pixi.toml
index fda036f49..d612ab787 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -34,6 +34,8 @@ update-dags = """
 	snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png
 """
 
+generate-config = "python -c 'from scripts.lib.validation.config import generate_config_defaults, generate_config_schema; generate_config_defaults(); generate_config_schema()'"
+
 [dependencies]
 atlite = ">=0.3"
 bokeh = ">=3.8.0"
@@ -67,6 +69,7 @@ openpyxl = ">=3.1.5"
 pandas = ">=2.1"
 plotly = ">=6.4.0"
 powerplantmatching = ">=0.5.15"
+pydantic = ">=2"
 pre-commit = ">=4.3.0"
 proj = ">=9.6.2"
 pylint = ">=4.0.2"
@@ -80,6 +83,7 @@ pyxlsb = ">=1.0.10"
 rasterio = ">=1.4.3"
 rioxarray = ">=0.20.0"
 ruff = ">=0.14.3"
+"ruamel.yaml" = ">=0.18.0"
 scipy = ">=1.16.3"
 seaborn = ">=0.13.2"
 shapely = ">=2.0"
@@ -100,30 +104,32 @@ args = ["dir", {"arg" = "output", "default" = "html"}]
 cmd = "dot -c && sphinx-build -T -b {{ output }} doc {{ dir }}/{{ output }} "
 
 [feature.doc.dependencies]
-atlite = ">=0.2.9"
-cartopy = ">=0.25.0"
-dask = ">=2025.10.0"
-descartes = ">=1.1.0"
-fiona = ">=1.10.1"
-graphviz = ">=13.1.2"
-matplotlib = ">3.5.1"
-memory_profiler = ">=0.61.0"
-myst-parser = ">=4.0.1"
-powerplantmatching = ">=0.5.5"
-pydot = ">=4.0.1,<5"
-pypsa = ">=0.35.2"
-pytables = ">=3.10.1"
-python = ">=3.10.19"
-pyyaml = ">=6.0.3"
-requests = ">=2.32.5"
-scikit-learn = ">=1.7.2"
-seaborn = ">=0.13.2"
-sphinx = ">=8.1.3"
-sphinx-book-theme = ">=1.1.4"
-sphinxcontrib-bibtex = ">=2.6.5"
-tabula-py = ">=2.7.0"
-tenacity = ">=9.1.2"
-tsam = ">=2.3.1"
+atlite = "==0.4.1"
+cartopy = "==0.25.0"
+dask = "==2025.11.0"
+descartes = "==1.1.0"
+fiona = "==1.10.1"
+graphviz = "==13.1.2"
+matplotlib = "==3.10.7"
+memory_profiler = "==0.61.0"
+myst-parser = "==4.0.1"
+powerplantmatching = "==0.7.1"
+pydot = "==4.0.1"
+pypsa = "==1.0.3"
+pytables = "==3.10.2"
+python = "==3.12.12"
+pyyaml = "==6.0.3"
+requests = "==2.32.5"
+scikit-learn = "==1.7.2"
+seaborn = "==0.13.2"
+sphinx = "==8.2.3"
+sphinx-book-theme = "==1.1.4"
+sphinx-design = "==0.6.1"
+sphinx-jsonschema = "==1.19.2"
+sphinxcontrib-bibtex = "==2.6.5"
+tabula-py = "==2.7.0"
+tenacity = "==9.1.2"
+tsam = "==2.3.9"
 
 [feature.test.tasks]
 
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index 747b14a1a..a490b0616 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -270,7 +270,7 @@ rule determine_availability_matrix:
         unpack(input_ua_md_availability_matrix),
         corine=ancient(rules.retrieve_corine.output["tif_file"]),
         natura=lambda w: (
-            f"{NATURA_DATASET["folder"]}/natura.tiff"
+            f"{NATURA_DATASET['folder']}/natura.tiff"
             if config_provider("renewable", w.technology, "natura")(w)
             else []
         ),
@@ -396,7 +396,7 @@ rule build_hydro_profile:
         country_shapes=resources("country_shapes.geojson"),
         eia_hydro_generation="data/eia_hydro_annual_generation.csv",
         eia_hydro_capacity="data/eia_hydro_annual_capacity.csv",
-        era5_runoff=f"{COUNTRY_RUNOFF_DATASET["folder"]}/era5-runoff-per-country.csv",
+        era5_runoff=f"{COUNTRY_RUNOFF_DATASET['folder']}/era5-runoff-per-country.csv",
         cutout=lambda w: input_cutout(
             w, config_provider("renewable", "hydro", "cutout")(w)
         ),
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index c7650bb0f..56f6af5d3 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -786,7 +786,7 @@ if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["build"
             cutouts=["cutouts/europe-1940-2024-era5.nc"],
             country_shapes=resources("country_shapes.geojson"),
         output:
-            era5_hdd=f"{COUNTRY_HDD_DATASET["folder"]}/era5-HDD-per-country.csv",
+            era5_hdd=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
         log:
             logs("build_country_hdd.log"),
         benchmark:
@@ -799,7 +799,7 @@ if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["build"
 
 rule build_heat_totals:
     input:
-        hdd=f"{COUNTRY_HDD_DATASET["folder"]}/era5-HDD-per-country.csv",
+        hdd=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
         energy_totals=resources("energy_totals.csv"),
     output:
         heat_totals=resources("heat_totals.csv"),
@@ -1285,8 +1285,8 @@ rule build_transport_demand:
             "pop_weighted_energy_totals_s_{clusters}.csv"
         ),
         transport_data=resources("transport_data.csv"),
-        traffic_data_KFZ=f"{MOBILITY_PROFILES_DATASET["folder"]}/kfz.csv",
-        traffic_data_Pkw=f"{MOBILITY_PROFILES_DATASET["folder"]}/pkw.csv",
+        traffic_data_KFZ=f"{MOBILITY_PROFILES_DATASET['folder']}/kfz.csv",
+        traffic_data_Pkw=f"{MOBILITY_PROFILES_DATASET['folder']}/pkw.csv",
         temp_air_total=resources("temp_air_total_base_s_{clusters}.nc"),
     output:
         transport_demand=resources("transport_demand_s_{clusters}.csv"),
@@ -1528,7 +1528,7 @@ rule prepare_sector_network:
             "biomass_potentials_s_{clusters}_{planning_horizons}.csv"
         ),
         costs=lambda w: (
-            resources(f"costs_{config_provider("costs", "year")(w)}_processed.csv")
+            resources(f"costs_{config_provider('costs', 'year')(w)}_processed.csv")
             if config_provider("foresight")(w) == "overnight"
             else resources("costs_{planning_horizons}_processed.csv")
         ),
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 110a3f0b6..2b5c09a95 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -330,7 +330,7 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))["source"] in [
         input:
             storage(COUNTRY_RUNOFF_DATASET["url"]),
         output:
-            era5_runoff=f"{COUNTRY_RUNOFF_DATASET["folder"]}/era5-runoff-per-country.csv",
+            era5_runoff=f"{COUNTRY_RUNOFF_DATASET['folder']}/era5-runoff-per-country.csv",
         run:
             copy2(input[0], output[0])
 
@@ -341,7 +341,7 @@ if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["archiv
         input:
             storage(COUNTRY_HDD_DATASET["url"]),
         output:
-            era5_runoff=f"{COUNTRY_HDD_DATASET["folder"]}/era5-HDD-per-country.csv",
+            era5_runoff=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
         run:
             copy2(input[0], output[0])
 
@@ -907,7 +907,7 @@ if (NATURA_DATASET := dataset_version("natura"))["source"] in ["archive"]:
         input:
             storage(NATURA_DATASET["url"]),
         output:
-            f"{NATURA_DATASET["folder"]}/natura.tiff",
+            f"{NATURA_DATASET['folder']}/natura.tiff",
         log:
             "logs/retrieve_natura.log",
         run:
@@ -920,9 +920,9 @@ elif NATURA_DATASET["source"] == "build":
             online=storage(NATURA_DATASET["url"]),
             cutout=lambda w: input_cutout(w),
         output:
-            zip=f"{NATURA_DATASET["folder"]}/raw/natura.zip",
-            raw=directory(f"{NATURA_DATASET["folder"]}/raw"),
-            raster=f"{NATURA_DATASET["folder"]}/natura.tiff",
+            zip=f"{NATURA_DATASET['folder']}/raw/natura.zip",
+            raw=directory(f"{NATURA_DATASET['folder']}/raw"),
+            raster=f"{NATURA_DATASET['folder']}/natura.tiff",
         resources:
             mem_mb=5000,
         log:
@@ -937,7 +937,7 @@ if (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in [
 
     rule retrieve_osm_boundaries:
         output:
-            json=f"{OSM_BOUNDARIES_DATASET["folder"]}/{country}_adm1.json",
+            json=f"{OSM_BOUNDARIES_DATASET['folder']}/{country}_adm1.json",
         log:
             "logs/retrieve_osm_boundaries_{country}_adm1.log",
         threads: 1
@@ -1150,8 +1150,8 @@ if (MOBILITY_PROFILES_DATASET := dataset_version("mobility_profiles"))["source"]
             kfz=storage(MOBILITY_PROFILES_DATASET["url"] + "/kfz.csv"),
             pkw=storage(MOBILITY_PROFILES_DATASET["url"] + "/pkw.csv"),
         output:
-            kfz=f"{MOBILITY_PROFILES_DATASET["folder"]}/kfz.csv",
-            pkw=f"{MOBILITY_PROFILES_DATASET["folder"]}/pkw.csv",
+            kfz=f"{MOBILITY_PROFILES_DATASET['folder']}/kfz.csv",
+            pkw=f"{MOBILITY_PROFILES_DATASET['folder']}/pkw.csv",
         threads: 1
         resources:
             mem_mb=1000,
diff --git a/rules/solve_myopic.smk b/rules/solve_myopic.smk
index 620bb768b..fa815ee4a 100644
--- a/rules/solve_myopic.smk
+++ b/rules/solve_myopic.smk
@@ -18,7 +18,7 @@ rule add_existing_baseyear:
         ),
         powerplants=resources("powerplants_s_{clusters}.csv"),
         costs=lambda w: resources(
-            f"costs_{config_provider("scenario", "planning_horizons",0)(w)}_processed.csv"
+            f"costs_{config_provider('scenario', 'planning_horizons',0)(w)}_processed.csv"
         ),
         cop_profiles=resources("cop_profiles_base_s_{clusters}_{planning_horizons}.nc"),
         existing_heating_distribution=resources(
diff --git a/rules/solve_perfect.smk b/rules/solve_perfect.smk
index 8586d4436..c1d7aec4b 100644
--- a/rules/solve_perfect.smk
+++ b/rules/solve_perfect.smk
@@ -19,7 +19,7 @@ rule add_existing_baseyear:
         busmap=resources("busmap_base_s_{clusters}.csv"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
         costs=lambda w: resources(
-            f"costs_{config_provider("scenario", "planning_horizons",0)(w)}_processed.csv"
+            f"costs_{config_provider('scenario', 'planning_horizons',0)(w)}_processed.csv"
         ),
         cop_profiles=resources("cop_profiles_base_s_{clusters}_{planning_horizons}.nc"),
         existing_heating_distribution=resources(
diff --git a/scripts/lib/validation/config/__init__.py b/scripts/lib/validation/config/__init__.py
new file mode 100644
index 000000000..8bc0ebd56
--- /dev/null
+++ b/scripts/lib/validation/config/__init__.py
@@ -0,0 +1,399 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Config validation for PyPSA-EUR.
+
+The schema is exported to both `config/config.default.yaml` and `config/schema.json`.
+The json schema is also contributed to the schemastore.org and matches
+`**/pypsa-eur*/config/*.yaml` to get IDE support without additional configuration.
+"""
+
+import re
+from typing import Literal
+
+from pydantic import BaseModel, ConfigDict, Field, ValidationError
+from ruamel.yaml import YAML
+
+from scripts.lib.validation.config._base import ConfigModel
+from scripts.lib.validation.config.adjustments import AdjustmentsConfig
+from scripts.lib.validation.config.atlite import AtliteConfig
+from scripts.lib.validation.config.biomass import BiomassConfig
+from scripts.lib.validation.config.clustering import ClusteringConfig
+from scripts.lib.validation.config.co2_budget import Co2BudgetConfig
+from scripts.lib.validation.config.conventional import ConventionalConfig
+from scripts.lib.validation.config.costs import CostsConfig
+from scripts.lib.validation.config.countries import CountriesConfig
+from scripts.lib.validation.config.data import DataConfig
+from scripts.lib.validation.config.electricity import ElectricityConfig
+from scripts.lib.validation.config.enable import EnableConfig
+from scripts.lib.validation.config.energy import EnergyConfig
+from scripts.lib.validation.config.existing_capacities import ExistingCapacitiesConfig
+from scripts.lib.validation.config.foresight import ForesightConfig
+from scripts.lib.validation.config.industry import IndustryConfig
+from scripts.lib.validation.config.lines import LinesConfig
+from scripts.lib.validation.config.links import LinksConfig
+from scripts.lib.validation.config.load import LoadConfig
+from scripts.lib.validation.config.overpass_api import OverpassApiConfig
+from scripts.lib.validation.config.pypsa_eur import PypsaEurConfig
+from scripts.lib.validation.config.renewable import RenewableConfig
+from scripts.lib.validation.config.run import RunConfig
+from scripts.lib.validation.config.scenario import ScenarioConfig
+from scripts.lib.validation.config.sector import SectorConfig
+from scripts.lib.validation.config.snapshots import SnapshotsConfig
+from scripts.lib.validation.config.solar_thermal import SolarThermalConfig
+from scripts.lib.validation.config.solving import SolvingConfig
+from scripts.lib.validation.config.transformers import TransformersConfig
+from scripts.lib.validation.config.transmission_projects import (
+    TransmissionProjectsConfig,
+)
+
+
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
+
+    level: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = Field(
+        "INFO",
+        description="Restrict console outputs to all infos, warning or errors only",
+    )
+    format: str = Field(
+        "%(levelname)s:%(name)s:%(message)s",
+        description="Custom format for log messages. See `LogRecord <https://docs.python.org/3/library/logging.html#logging.LogRecord>`_ attributes.",
+    )
+
+
+class RemoteConfig(ConfigModel):
+    """Configuration for top level `remote` settings."""
+
+    ssh: str = Field(
+        "",
+        description="Optionally specify the SSH of a remote cluster to be synchronized.",
+    )
+    path: str = Field(
+        "",
+        description="Optionally specify the file path within the remote cluster to be synchronized.",
+    )
+
+
+class SecretsConfig(ConfigModel):
+    """Configuration for top level `secrets` settings."""
+
+    corine: str = Field(
+        "",
+        description='API token for corine dataset retrieval. You can also pass the token by setting the environment variable "CORINE_API_TOKEN". See `scripts/retrieve_corine_dataset_primary.py` for more instructions.',
+    )
+
+
+class ConfigSchema(BaseModel):
+    """
+    Combined configuration schema for PyPSA-EUR.
+    """
+
+    # TODO Change to extra='forbid' once schema covers all config options
+    # For soft-forks it is recommended to either extend the schema for full config
+    # coverage or allow extra fields with extra='allow'
+    model_config = ConfigDict(extra="allow", title="PyPSA-Eur Configuration")
+
+    # Top-level fields (from TopLevelConfig)
+    version: str = Field(
+        "v2025.07.0", description="Version of PyPSA-Eur. Descriptive only."
+    )
+    tutorial: bool = Field(
+        False,
+        description="Switch to retrieve the tutorial data set instead of the full data set.",
+    )
+    logging: LoggingConfig = Field(
+        default_factory=LoggingConfig,
+        description="Logging configuration for the workflow",
+    )
+    remote: RemoteConfig = Field(
+        default_factory=RemoteConfig,
+        description="Configuration for remote workflow execution",
+    )
+
+    run: RunConfig = Field(
+        default_factory=RunConfig,
+        description="Run configuration for PyPSA-EUR workflow execution.",
+    )
+    foresight: ForesightConfig = Field(
+        default_factory=ForesightConfig,
+        description="Foresight mode for the optimization. See Foresight Options for detailed explanations.",
+    )
+    scenario: ScenarioConfig = Field(
+        default_factory=ScenarioConfig,
+        description="Scenario configuration defining wildcards for the workflow.",
+    )
+    countries: CountriesConfig = Field(
+        default_factory=CountriesConfig,
+        description="European countries defined by their Two-letter country codes (ISO 3166-1) which should be included in the energy system model.",
+    )
+    snapshots: SnapshotsConfig = Field(
+        default_factory=SnapshotsConfig,
+        description="Configuration for the time period snapshots.",
+    )
+    enable: EnableConfig = Field(
+        default_factory=EnableConfig,
+        description="Flags to enable/disable workflow features.",
+    )
+    co2_budget: Co2BudgetConfig = Field(
+        default_factory=Co2BudgetConfig,
+        description="CO2 budget as fraction of 1990 emissions per planning horizon year.",
+    )
+    electricity: ElectricityConfig = Field(
+        default_factory=ElectricityConfig,
+        description="Electricity sector configuration.",
+    )
+    atlite: AtliteConfig = Field(
+        default_factory=AtliteConfig,
+        description="Atlite cutout configuration for weather data.",
+    )
+    renewable: RenewableConfig = Field(
+        default_factory=RenewableConfig,
+        description="Renewable energy technologies configuration.",
+    )
+    conventional: ConventionalConfig = Field(
+        default_factory=ConventionalConfig,
+        description="Conventional power plants configuration.",
+    )
+    lines: LinesConfig = Field(
+        default_factory=LinesConfig,
+        description="Transmission lines configuration.",
+    )
+    links: LinksConfig = Field(
+        default_factory=LinksConfig,
+        description="HVDC links configuration.",
+    )
+    transmission_projects: TransmissionProjectsConfig = Field(
+        default_factory=TransmissionProjectsConfig,
+        description="Transmission projects configuration.",
+    )
+    transformers: TransformersConfig = Field(
+        default_factory=TransformersConfig,
+        description="Transformers configuration.",
+    )
+    load: LoadConfig = Field(
+        default_factory=LoadConfig,
+        description="Electrical load configuration.",
+    )
+    pypsa_eur: PypsaEurConfig = Field(
+        default_factory=PypsaEurConfig,
+        description="PyPSA-Eur component filtering configuration.",
+    )
+    energy: EnergyConfig = Field(
+        default_factory=EnergyConfig,
+        description="Energy totals configuration.",
+    )
+    biomass: BiomassConfig = Field(
+        default_factory=BiomassConfig,
+        description="Biomass configuration.",
+    )
+    solar_thermal: SolarThermalConfig = Field(
+        default_factory=SolarThermalConfig,
+        description="Solar thermal configuration.",
+    )
+    existing_capacities: ExistingCapacitiesConfig = Field(
+        default_factory=ExistingCapacitiesConfig,
+        description="Existing capacities grouping configuration.",
+    )
+    sector: SectorConfig = Field(
+        default_factory=SectorConfig,
+        description="Sector coupling configuration.",
+    )
+    industry: IndustryConfig = Field(
+        default_factory=IndustryConfig,
+        description="Industry sector configuration.",
+    )
+    costs: CostsConfig = Field(
+        default_factory=CostsConfig,
+        description="Cost assumptions configuration.",
+    )
+    clustering: ClusteringConfig = Field(
+        default_factory=ClusteringConfig,
+        description="Network clustering configuration.",
+    )
+    adjustments: AdjustmentsConfig = Field(
+        default_factory=AdjustmentsConfig,
+        description="Network adjustments configuration.",
+    )
+    solving: SolvingConfig = Field(
+        default_factory=SolvingConfig,
+        description="Solver and optimization configuration.",
+    )
+    data: DataConfig = Field(
+        default_factory=DataConfig,
+        description="Data source configuration.",
+    )
+    overpass_api: OverpassApiConfig = Field(
+        default_factory=OverpassApiConfig,
+        description="Overpass API configuration for OSM data retrieval.",
+    )
+    secrets: SecretsConfig = Field(
+        default_factory=SecretsConfig,
+        description="Secrets configuration for API tokens.",
+    )
+
+
+def validate_config(config: dict) -> ConfigSchema:
+    """Validate config dict against schema."""
+    return ConfigSchema(**config)
+
+
+def generate_config_defaults(path: str = "config/config.default.yaml") -> dict:
+    """Generate config defaults YAML file and return the defaults dict."""
+    from ruamel.yaml.comments import CommentedMap
+
+    def convert_to_field_name(key: str) -> str:
+        """Convert dash-case to snake_case for field lookup."""
+        return key.replace("-", "_")
+
+    # by_alias is needed to export dash-case instead of snake_case (which are some set aliases)
+    # the goal should be to use snake_case consistently
+    defaults = ConfigSchema().model_dump(by_alias=True)
+
+    # Create YAML instance with custom settings
+    yaml_writer = YAML()
+    yaml_writer.version = (1, 1)  # Make sure to quote boolean-looking strings
+    yaml_writer.default_flow_style = False
+    yaml_writer.width = 4096  # Avoid line wrapping
+    yaml_writer.indent(mapping=2, sequence=2, offset=0)
+
+    # Custom string representer for controlling quote style
+    def str_representer(dumper, data):
+        """Use block style for multiline, quotes for special chars, plain otherwise."""
+        TAG = "tag:yaml.org,2002:str"
+        if "\n" in data:
+            return dumper.represent_scalar(TAG, data, style="|")
+        if data == "" or any(c in data for c in ":{}[]&*#?|-<>=!%@"):
+            return dumper.represent_scalar(TAG, data, style='"')
+        return dumper.represent_scalar(TAG, data, style="")
+
+    yaml_writer.representer.add_representer(str, str_representer)
+
+    # Create a CommentedMap to add comments
+    data = CommentedMap()
+
+    # Add yaml-language-server comment at the very top (before first key)
+    data.yaml_set_start_comment("yaml-language-server: $schema=./schema.json")
+
+    for key, value in defaults.items():
+        data[key] = value
+
+        field_name = convert_to_field_name(key)
+        docs_url = f"https://pypsa-eur.readthedocs.io/en/latest/configuration.html#{field_name}"
+        data.yaml_set_comment_before_after_key(key, before=f"\ndocs in {docs_url}")
+
+    # Write to file
+    with open(path, "w") as f:
+        yaml_writer.dump(data, f)
+
+    return defaults
+
+
+def generate_config_schema(path: str = "config/schema.json") -> dict:
+    """Generate JSON schema file and return the schema dict."""
+    import json
+    import math
+
+    def resolve_refs(obj: dict, defs: dict) -> dict:
+        """Resolve nested schema references to show them nicely in the documentation."""
+        if isinstance(obj, dict):
+            if "$ref" in obj:
+                ref_path = obj["$ref"]  # "#/$defs/RunConfig
+                ref_name = ref_path.split("/")[-1]
+                if ref_name in defs:
+                    resolved = resolve_refs(defs[ref_name].copy(), defs)
+                    # Keep description from the reference
+                    if "description" in obj and "description" not in resolved:
+                        resolved["description"] = obj["description"]
+                    return resolved
+            return {k: resolve_refs(v, defs) for k, v in obj.items()}
+        elif isinstance(obj, list):
+            return [resolve_refs(item, defs) for item in obj]
+        return obj
+
+    def sanitize_for_json(obj):
+        """Replace infinity values with None for valid JSON."""
+        if isinstance(obj, dict):
+            return {k: sanitize_for_json(v) for k, v in obj.items()}
+        elif isinstance(obj, list):
+            return [sanitize_for_json(v) for v in obj]
+        elif isinstance(obj, float) and math.isinf(obj):
+            return None
+        return obj
+
+    def remove_nested_titles(obj, is_root=True):
+        """Remove nested titles (e.g. model class names)."""
+        if isinstance(obj, dict):
+            result = {}
+            for k, v in obj.items():
+                if k == "title" and not is_root:
+                    continue
+                result[k] = remove_nested_titles(v, is_root=False)
+            return result
+        elif isinstance(obj, list):
+            return [remove_nested_titles(item, is_root=False) for item in obj]
+        return obj
+
+    def remove_object_type(obj, is_root=True):
+        """Remove 'type: object' from nested objects (redundant when properties exist)."""
+        if isinstance(obj, dict):
+            result = {}
+            for k, v in obj.items():
+                if (
+                    k == "type"
+                    and v == "object"
+                    and not is_root
+                    and "properties" in obj
+                ):
+                    continue
+                result[k] = remove_object_type(v, is_root=False)
+            return result
+        elif isinstance(obj, list):
+            return [remove_object_type(item, is_root=False) for item in obj]
+        return obj
+
+    def convert_rst_to_markdown(obj):
+        """Convert RST-style links in 'description' to Markdown in 'markdownDescription'."""
+
+        def rst_to_md(text):
+            """Convert RST link format `Link Text <URL>`_ to Markdown [Link Text](URL)."""
+            # Pattern matches: `Link Text <URL>`_
+            pattern = r"`([^<>`]+)\s*<([^>]+)>`_"
+            return re.sub(pattern, r"[\1](\2)", text)
+
+        if isinstance(obj, dict):
+            result = {}
+            for k, v in obj.items():
+                if k == "description" and isinstance(v, str) and "`" in v and "<" in v:
+                    result[k] = v
+                    md_text = rst_to_md(v)
+                    if md_text != v:
+                        result["markdownDescription"] = md_text
+                else:
+                    result[k] = convert_rst_to_markdown(v)
+            return result
+        elif isinstance(obj, list):
+            return [convert_rst_to_markdown(item) for item in obj]
+        return obj
+
+    schema = ConfigSchema.model_json_schema()
+    defs = schema.get("$defs", {})
+    schema = resolve_refs(schema, defs)
+    schema = sanitize_for_json(schema)
+    schema = remove_nested_titles(schema)
+    schema = remove_object_type(schema)
+    schema = convert_rst_to_markdown(schema)
+    with open(path, "w") as f:
+        json.dump(schema, f, indent=2)
+        f.write("\n")
+    return schema
+
+
+__all__ = [
+    "ConfigSchema",
+    "validate_config",
+    "generate_config_defaults",
+    "generate_config_schema",
+    "ValidationError",
+]
diff --git a/scripts/lib/validation/config/_base.py b/scripts/lib/validation/config/_base.py
new file mode 100644
index 000000000..e9606d689
--- /dev/null
+++ b/scripts/lib/validation/config/_base.py
@@ -0,0 +1,38 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""Base classes for config validation models."""
+
+from collections.abc import Iterator
+from typing import Any
+
+from pydantic import BaseModel
+
+
+class ConfigModel(BaseModel):
+    """Base model for all config classes with dict-like access for Snakemake compatibility."""
+
+    def __getitem__(self, key: str) -> Any:
+        """Enable: config['key']."""
+        return getattr(self, key)
+
+    def __contains__(self, key: str) -> bool:
+        """Enable: 'key' in config."""
+        return hasattr(self, key)
+
+    def get(self, key: str, default: Any = None) -> Any:
+        """Enable: config.get('key', default)."""
+        return getattr(self, key, default)
+
+    def keys(self) -> Iterator[str]:
+        """Enable: config.keys()."""
+        return iter(self.model_fields.keys())
+
+    def values(self) -> Iterator[Any]:
+        """Enable: config.values()."""
+        return (getattr(self, k) for k in self.model_fields.keys())
+
+    def items(self) -> Iterator[tuple[str, Any]]:
+        """Enable: config.items()."""
+        return ((k, getattr(self, k)) for k in self.model_fields.keys())
diff --git a/scripts/lib/validation/config/adjustments.py b/scripts/lib/validation/config/adjustments.py
new file mode 100644
index 000000000..321a4375a
--- /dev/null
+++ b/scripts/lib/validation/config/adjustments.py
@@ -0,0 +1,48 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Adjustments configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#adjustments
+"""
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _AdjustmentConfig(ConfigModel):
+    """Configuration for adjustment settings (factor/absolute)"""
+
+    factor: bool | dict[str, dict[str, dict[str, float | dict[int, float]]]] = Field(
+        False,
+        description="Multiply original value with given factor",
+    )
+    absolute: bool | dict[str, dict[str, dict[str, float | dict[int, float]]]] = Field(
+        False,
+        description="Set attribute to absolute value. Can be also a dictionary with planning horizons as keys.",
+    )
+
+
+class AdjustmentsConfig(BaseModel):
+    """Configuration for top-level adjustments key."""
+
+    electricity: bool | _AdjustmentConfig = Field(
+        False,
+        description="Parameter adjustments applied in `prepare_network`.",
+    )
+    sector: bool | _AdjustmentConfig = Field(
+        default_factory=lambda: _AdjustmentConfig(
+            factor={
+                "Link": {
+                    "electricity distribution grid": {
+                        "capital_cost": 1.0,
+                    }
+                }
+            },
+            absolute=False,
+        ),
+        description="Parameter adjustments applied in `prepare_sector_network`.",
+    )
diff --git a/scripts/lib/validation/config/atlite.py b/scripts/lib/validation/config/atlite.py
new file mode 100644
index 000000000..0cb7ece16
--- /dev/null
+++ b/scripts/lib/validation/config/atlite.py
@@ -0,0 +1,142 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Atlite configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#atlite
+"""
+
+from pydantic import BaseModel, Field, field_validator
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _PrepareKwargsConfig(ConfigModel):
+    """Configuration for `atlite.cutouts.{name}.prepare_kwargs` settings."""
+
+    features: str | list[str] | None = Field(
+        None,
+        description="When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features.",
+    )
+    sarah_dir: str | None = Field(
+        None,
+        description="Path to the location where SARAH-2 or SARAH-3 data is stored; SARAH data requires a manual separate download, see the `atlite documentation <https://atlite.readthedocs.io>`_ for details. Required for building cutouts with SARAH, not required for ERA5 cutouts.",
+    )
+    monthly_requests: bool | None = Field(
+        None,
+        description="Whether to use monthly requests for ERA5 data when building the cutout. Helpful to avoid running into request limits with large cutouts.",
+    )
+    tmpdir: str | None = Field(
+        None,
+        description="Path to a temporary directory where intermediate files are stored when building the cutout. Helpful when building large cutouts.",
+    )
+
+
+class _ChunksConfig(ConfigModel):
+    """Configuration for `atlite.cutouts.{name}.chunks` settings."""
+
+    time: int | None = Field(
+        None,
+        description="Chunk size for time dimension when preparing cutout.",
+    )
+
+
+class _CutoutConfig(ConfigModel):
+    """Configuration for a single cutout in `atlite.cutouts`."""
+
+    module: str | list[str] | None = Field(
+        None,
+        description="Source of the reanalysis weather dataset (e.g. `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_ or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`_).",
+    )
+    x: list[float] | None = Field(
+        None,
+        description="Range of longitudes [°] to download weather data for. Float interval within [-180, 180]. If not defined, it defaults to the spatial bounds of all bus shapes.",
+    )
+    y: list[float] | None = Field(
+        None,
+        description="Range of latitudes [°] to download weather data for. Float interval within [-90, 90]. If not defined, it defaults to the spatial bounds of all bus shapes.",
+    )
+    dx: float | None = Field(
+        None,
+        gt=0.25,
+        description="Grid resolution [°] for longitude. Must be larger than 0.25°.",
+    )
+    dy: float | None = Field(
+        None,
+        gt=0.25,
+        description="Grid resolution [°] for latitude. Must be larger than 0.25°.",
+    )
+    time: list[str] | None = Field(
+        None,
+        description="Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots.",
+    )
+    chunks: _ChunksConfig | None = Field(
+        None,
+        description="Chunking configuration for cutout preparation.",
+    )
+    prepare_kwargs: _PrepareKwargsConfig | None = Field(
+        None,
+        description="Dictionary of keyword arguments passed to ``atlite.Cutout.prepare()`` when building the cutout.",
+    )
+
+    @field_validator("x")
+    @classmethod
+    def validate_longitude(cls, v):
+        if v is not None:
+            if len(v) != 2:
+                raise ValueError("x must be a list of two floats [min, max]")
+            if not all(-180 <= val <= 180 for val in v):
+                raise ValueError("Longitude values must be within [-180, 180]")
+            if v[0] >= v[1]:
+                raise ValueError("x[0] must be less than x[1]")
+        return v
+
+    @field_validator("y")
+    @classmethod
+    def validate_latitude(cls, v):
+        if v is not None:
+            if len(v) != 2:
+                raise ValueError("y must be a list of two floats [min, max]")
+            if not all(-90 <= val <= 90 for val in v):
+                raise ValueError("Latitude values must be within [-90, 90]")
+            if v[0] >= v[1]:
+                raise ValueError("y[0] must be less than y[1]")
+        return v
+
+
+class AtliteConfig(BaseModel):
+    """Configuration for `atlite` settings."""
+
+    default_cutout: str | list[str] = Field(
+        "europe-1940-2024-era5",
+        description="Defines a default cutout. Can refer to a single cutout or a list of cutouts.",
+    )
+    nprocesses: int = Field(
+        16,
+        description="Number of parallel processes in cutout preparation.",
+    )
+    show_progress: bool = Field(
+        False,
+        description="Whether progressbar for atlite conversion processes should be shown. False saves time.",
+    )
+    cutouts: dict[str, _CutoutConfig] = Field(
+        default_factory=lambda: {
+            "europe-1940-2024-era5": _CutoutConfig(
+                module="era5",
+                x=[-12.0, 42.0],
+                y=[33.0, 72.0],
+                dx=0.3,
+                dy=0.3,
+                time=["1940", "2024"],
+                chunks=_ChunksConfig(time=500),
+                prepare_kwargs=_PrepareKwargsConfig(
+                    features=["temperature", "height", "runoff"],
+                    monthly_requests=True,
+                    tmpdir="./cutouts_tmp/",
+                ),
+            ),
+        },
+        description="Named cutout configurations.",
+    )
diff --git a/scripts/lib/validation/config/biomass.py b/scripts/lib/validation/config/biomass.py
new file mode 100644
index 000000000..2d02af18d
--- /dev/null
+++ b/scripts/lib/validation/config/biomass.py
@@ -0,0 +1,105 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Biomass configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#biomass
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _BiomassClassesConfig(ConfigModel):
+    """Configuration for `biomass.classes` settings."""
+
+    solid_biomass: list[str] = Field(
+        default_factory=lambda: [
+            "Agricultural waste",
+            "Fuelwood residues",
+            "Secondary Forestry residues - woodchips",
+            "Sawdust",
+            "Residues from landscape care",
+        ],
+        alias="solid biomass",
+        description="The comodity that are included as solid biomass.",
+    )
+    not_included: list[str] = Field(
+        default_factory=lambda: [
+            "Sugar from sugar beet",
+            "Rape seed",
+            "Sunflower, soya seed ",
+            "Bioethanol barley, wheat, grain maize, oats, other cereals and rye",
+            "Miscanthus, switchgrass, RCG",
+            "Willow",
+            "Poplar",
+            "FuelwoodRW",
+            "C&P_RW",
+        ],
+        alias="not included",
+        description="The comodity that are not included as a biomass potential.",
+    )
+    biogas: list[str] = Field(
+        default_factory=lambda: [
+            "Manure solid, liquid",
+            "Sludge",
+        ],
+        description="The comodity that are included as biogas.",
+    )
+    municipal_solid_waste: list[str] = Field(
+        default_factory=lambda: [
+            "Municipal waste",
+        ],
+        alias="municipal solid waste",
+        description="The commodities that are included as municipal solid waste.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class BiomassConfig(BaseModel):
+    """Configuration for `biomass` settings."""
+
+    year: int = Field(
+        2030,
+        ge=2010,
+        le=2050,
+        description="Year for which to retrieve biomass potential according to the assumptions of the `JRC ENSPRESO <https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f>`_.",
+    )
+    scenario: Literal["ENS_Low", "ENS_Med", "ENS_High"] = Field(
+        "ENS_Med",
+        description="Scenario for which to retrieve biomass potential. The scenario definition can be seen in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`_.",
+    )
+    classes: _BiomassClassesConfig = Field(
+        default_factory=_BiomassClassesConfig,
+        description="Classification of biomass commodities.",
+    )
+    share_unsustainable_use_retained: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 1,
+            2025: 1,
+            2030: 0.66,
+            2035: 0.33,
+            2040: 0,
+            2045: 0,
+            2050: 0,
+        },
+        description="Share of unsustainable biomass use retained using primary production of Eurostat data as reference.",
+    )
+    share_sustainable_potential_available: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0,
+            2030: 0.33,
+            2035: 0.66,
+            2040: 1,
+            2045: 1,
+            2050: 1,
+        },
+        description="Share determines phase-in of ENSPRESO biomass potentials.",
+    )
diff --git a/scripts/lib/validation/config/clustering.py b/scripts/lib/validation/config/clustering.py
new file mode 100644
index 000000000..b367a4679
--- /dev/null
+++ b/scripts/lib/validation/config/clustering.py
@@ -0,0 +1,156 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Clustering configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#clustering
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _AdministrativeConfig(ConfigModel):
+    """Configuration for `clustering.administrative` settings."""
+
+    level: Literal[0, 1, 2, 3, "bz"] = Field(
+        1,
+        description="Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level, 'bz': Bidding zones. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1.",
+    )
+    countries: dict[str, int] = Field(
+        default_factory=dict,
+        description="Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`.",
+    )
+
+
+class _BuildBiddingZonesConfig(BaseModel):
+    """Configuration for `clustering.build_bidding_zones` settings."""
+
+    remove_islands: bool = Field(
+        False,
+        description="Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira.",
+    )
+    aggregate_to_tyndp: bool = Field(
+        False,
+        description="Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape.",
+    )
+
+
+class _SimplifyNetworkConfig(BaseModel):
+    """Configuration for `clustering.simplify_network` settings."""
+
+    to_substations: bool = Field(
+        False,
+        description="Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
+    )
+    exclude_carriers: list[str] = Field(
+        default_factory=list,
+        description="List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+    )
+    remove_stubs: bool = Field(
+        True,
+        description="Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
+    )
+    remove_stubs_across_borders: bool = Field(
+        False,
+        description="Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true.",
+    )
+
+
+class _ClusterNetworkConfig(BaseModel):
+    """Configuration for `clustering.cluster_network` settings."""
+
+    algorithm: Literal["kmeans", "hac"] = Field(
+        "kmeans",
+        description="Clustering algorithm to use.",
+    )
+    hac_features: list[str] = Field(
+        default_factory=lambda: ["wnd100m", "influx_direct"],
+        description="List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
+    )
+
+
+class _AggregationStrategiesConfig(BaseModel):
+    """Configuration for `clustering.aggregation_strategies` settings."""
+
+    generators: dict[str, str] = Field(
+        default_factory=lambda: {
+            "committable": "any",
+            "ramp_limit_up": "max",
+            "ramp_limit_down": "max",
+        },
+        description="Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator.",
+    )
+    buses: dict[str, str] = Field(
+        default_factory=dict,
+        description="Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus.",
+    )
+
+
+class _TemporalConfig(BaseModel):
+    """Configuration for `clustering.temporal` settings."""
+
+    resolution_elec: bool | str = Field(
+        False,
+        description="Resample the time-resolution by averaging over every `n` snapshots in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks.",
+    )
+    resolution_sector: bool | str = Field(
+        False,
+        description="Resample the time-resolution by averaging over every `n` snapshots in `prepare_sector_network`.",
+    )
+
+
+class ClusteringConfig(BaseModel):
+    """Configuration for `clustering` settings."""
+
+    mode: Literal["busmap", "custom_busmap", "administrative", "custom_busshapes"] = (
+        Field(
+            "busmap",
+            description="'busmap': Default. 'custom_busmap': Enable the use of custom busmaps in rule `cluster_network`. If activated the rule looks for provided busmaps at ``data/busmaps/base_s_{clusters}_{base_network}.csv`` which should have the same format as ``resources/busmap_base_s_{clusters}.csv``, i.e. the index should contain the buses of ``networks/base_s.nc``. {base_network} is the name of the selected base_network in electricity, e.g. ``gridkit``, ``osm-prebuilt``, or ``osm-raw``. 'administrative': Clusters and indexes the network based on the administrative regions of the countries based on ``nuts3_shapes.geojson`` (level: 1, 2, 3, bz). To activate this, additionally set the ``clusters`` wildcard in ``scenario`` to 'adm'. 'custom_busshapes': Enable the use of custom shapes in rule `cluster_network`. If activated the rule looks for provided busshapes at ``data/busshapes/base_s_{clusters}_{base_network}.geojson``.",
+        )
+    )
+    administrative: _AdministrativeConfig = Field(
+        default_factory=_AdministrativeConfig,
+        description="Administrative clustering settings.",
+    )
+    focus_weights: bool | dict[str, float] = Field(
+        False,
+        description="Optionally specify the focus weights for the clustering of countries. For instance: `DE: 0.8` will distribute 80% of all nodes to Germany and 20% to the rest of the countries. Only applies when mode is set to `busmap`.",
+    )
+    copperplate_regions: list[list[str]] = Field(
+        default_factory=list,
+        description="Optionally specify the regions to copperplate as a list of groups. Each group is a list of region codes that will be connected with infinite capacity lines.",
+    )
+    build_bidding_zones: _BuildBiddingZonesConfig = Field(
+        default_factory=_BuildBiddingZonesConfig,
+        description="Build bidding zones configuration.",
+    )
+    simplify_network: _SimplifyNetworkConfig = Field(
+        default_factory=_SimplifyNetworkConfig,
+        description="Network simplification settings.",
+    )
+    cluster_network: _ClusterNetworkConfig = Field(
+        default_factory=_ClusterNetworkConfig,
+        description="Network clustering algorithm settings.",
+    )
+    exclude_carriers: list[str] = Field(
+        default_factory=list,
+        description="List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
+    )
+    consider_efficiency_classes: bool = Field(
+        False,
+        description="Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
+    )
+    aggregation_strategies: _AggregationStrategiesConfig = Field(
+        default_factory=_AggregationStrategiesConfig,
+        description="Aggregation strategies for different components.",
+    )
+    temporal: _TemporalConfig = Field(
+        default_factory=_TemporalConfig,
+        description="Options for temporal resolution.",
+    )
diff --git a/scripts/lib/validation/config/co2_budget.py b/scripts/lib/validation/config/co2_budget.py
new file mode 100644
index 000000000..63922685c
--- /dev/null
+++ b/scripts/lib/validation/config/co2_budget.py
@@ -0,0 +1,32 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+CO2 budget configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#co2-budget
+"""
+
+from pydantic import Field, RootModel
+
+
+class Co2BudgetConfig(RootModel[dict[int, float]]):
+    """Configuration for `co2_budget` settings."""
+
+    root: dict[int, float] = Field(
+        default_factory=lambda: {
+            # CO2 budget values as fraction of 1990 emissions per planning horizon year.
+            2020: 0.720,  # Average emissions of 2019-2021 relative to 1990, CO2 excl LULUCF
+            2025: 0.648,  # WAM projection from EEA Member States' GHG projections 2023
+            2030: 0.450,  # 55% reduction by 2030 (Fit for 55)
+            2035: 0.250,  # Interpolated
+            2040: 0.100,  # 90% reduction target by 2040
+            2045: 0.050,  # Interpolated
+            2050: 0.000,  # Climate-neutral by 2050
+            # Sources:
+            # - EEA Annual European Union GHG inventory 1990-2021 (https://unfccc.int/documents/627830)
+            # - EEA Member States' GHG projections 2023 (https://www.eea.europa.eu/en/datahub/datahubitem-view/4b8d94a4-aed7-4e67-a54c-0623a50f48e8)
+        },
+        description="CO2 budget as a fraction of 1990 emissions. Overwritten if `Co2Lx` or `cb` are set in `{sector_opts}` wildcard.",
+    )
diff --git a/scripts/lib/validation/config/conventional.py b/scripts/lib/validation/config/conventional.py
new file mode 100644
index 000000000..eccc2654a
--- /dev/null
+++ b/scripts/lib/validation/config/conventional.py
@@ -0,0 +1,32 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Conventional generators configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#conventional
+"""
+
+from pydantic import ConfigDict, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class ConventionalConfig(ConfigModel):
+    """Configuration for `conventional` settings."""
+
+    model_config = ConfigDict(extra="allow")
+
+    unit_commitment: bool = Field(
+        False,
+        description="Allow the overwrite of ramp_limit_up, ramp_limit_start_up, ramp_limit_shut_down, p_min_pu, min_up_time, min_down_time, and start_up_cost of conventional generators. Refer to the CSV file 'unit_commitment.csv'.",
+    )
+    dynamic_fuel_price: bool = Field(
+        False,
+        description="Consider the monthly fluctuating fuel prices for each conventional generator. Refer to the CSV file 'data/validation/monthly_fuel_price.csv'.",
+    )
+    nuclear: dict[str, str | float] = Field(
+        default_factory=lambda: {"p_max_pu": "data/nuclear_p_max_pu.csv"},
+        description="For any carrier/technology overwrite attributes as listed below.",
+    )
diff --git a/scripts/lib/validation/config/costs.py b/scripts/lib/validation/config/costs.py
new file mode 100644
index 000000000..afc1d289d
--- /dev/null
+++ b/scripts/lib/validation/config/costs.py
@@ -0,0 +1,91 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Costs configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs
+"""
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _EmissionPricesConfig(ConfigModel):
+    """Configuration for `costs.emission_prices` settings."""
+
+    enable: bool = Field(
+        False,
+        description="Add cost for a carbon-dioxide price configured in `costs: emission_prices: co2` to `marginal_cost` of generators. Config setting can also be enabled with the keyword `Ep` in the `{opts}` wildcard for electricity-only runs.",
+    )
+    co2: float | dict[str, float] = Field(
+        0.0,
+        description="Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere.",
+    )
+    co2_monthly_prices: bool = Field(
+        False,
+        description="Add monthly cost for a carbon-dioxide price based on historical values built by the rule `build_monthly_prices`.",
+    )
+
+
+class _FillValuesConfig(BaseModel):
+    """Configuration for `costs.fill_values` settings."""
+
+    FOM: float = Field(0, description="Default fixed operation and maintenance cost.")
+    VOM: float = Field(
+        0, description="Default variable operation and maintenance cost."
+    )
+    efficiency: float = Field(1, description="Default efficiency.")
+    fuel: float = Field(0, description="Default fuel cost.")
+    investment: float = Field(0, description="Default investment cost.")
+    lifetime: int = Field(25, description="Default lifetime in years.")
+    CO2_intensity: float = Field(
+        0, alias="CO2 intensity", description="Default CO2 intensity."
+    )
+    discount_rate: float = Field(
+        0.07, alias="discount rate", description="Default discount rate."
+    )
+    standing_losses: float = Field(
+        0, alias="standing losses", description="Default standing losses."
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class CostsConfig(BaseModel):
+    """Configuration for `costs` settings."""
+
+    year: int = Field(
+        2050,
+        description="Year for which to retrieve cost assumptions of `data/costs/primary/<version>/costs_<year>.csv`.",
+    )
+    social_discountrate: float = Field(
+        0.02,
+        description="Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%.",
+    )
+    fill_values: _FillValuesConfig = Field(
+        default_factory=_FillValuesConfig,
+        description="Default values if not specified for a technology in `resources/costs.csv`.",
+    )
+    custom_cost_fn: str | None = Field(
+        "data/custom_costs.csv",
+        description="Path to the custom costs file. None if it should not be used. Default `data/custom_costs.csv` contains minor adjustments for stabilising the optimisation results.",
+    )
+    overwrites: dict[str, dict[str, float]] = Field(
+        default_factory=dict,
+        description="For the given parameters and technologies, assumptions about their parameter are overwritten the corresponding value of the technology.",
+    )
+    capital_cost: dict[str, float] = Field(
+        default_factory=dict,
+        description="For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`.",
+    )
+    marginal_cost: dict[str, float] = Field(
+        default_factory=dict,
+        description="For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`.",
+    )
+    emission_prices: _EmissionPricesConfig = Field(
+        default_factory=_EmissionPricesConfig,
+        description="Specify exogenous prices for emission types listed in `network.carriers` to marginal costs.",
+    )
diff --git a/scripts/lib/validation/config/countries.py b/scripts/lib/validation/config/countries.py
new file mode 100644
index 000000000..2e7fc046d
--- /dev/null
+++ b/scripts/lib/validation/config/countries.py
@@ -0,0 +1,55 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Countries configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#countries
+"""
+
+from pydantic import Field, RootModel
+
+
+class CountriesConfig(RootModel[list[str]]):
+    """Configuration for `countries` settings."""
+
+    root: list[str] = Field(
+        default=[
+            "AL",
+            "AT",
+            "BA",
+            "BE",
+            "BG",
+            "CH",
+            "CZ",
+            "DE",
+            "DK",
+            "EE",
+            "ES",
+            "FI",
+            "FR",
+            "GB",
+            "GR",
+            "HR",
+            "HU",
+            "IE",
+            "IT",
+            "LT",
+            "LU",
+            "LV",
+            "ME",
+            "MK",
+            "NL",
+            "NO",
+            "PL",
+            "PT",
+            "RO",
+            "RS",
+            "SE",
+            "SI",
+            "SK",
+            "XK",
+        ],
+        description="European countries defined by their `Two-letter country codes (ISO 3166-1) <https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2>`_ which should be included in the energy system model.",
+    )
diff --git a/scripts/lib/validation/config/data.py b/scripts/lib/validation/config/data.py
new file mode 100644
index 000000000..0fa614e34
--- /dev/null
+++ b/scripts/lib/validation/config/data.py
@@ -0,0 +1,217 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Data source configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#data
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _DataSourceConfig(ConfigModel):
+    """Configuration for a single data source."""
+
+    source: Literal["archive", "primary", "build"] = Field(
+        "archive",
+        description="Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+    )
+    version: str = Field(
+        "latest",
+        description="Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+    )
+
+
+class DataConfig(BaseModel):
+    """Configuration for `data` settings."""
+
+    hotmaps_industrial_sites: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Hotmaps industrial sites data source configuration.",
+    )
+    enspreso_biomass: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Enspreso biomass data source configuration.",
+    )
+    osm: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="OSM data source configuration.",
+    )
+    worldbank_urban_population: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="World Bank urban population data source configuration.",
+    )
+    gem_europe_gas_tracker: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="GEM Europe Gas Tracker data source configuration.",
+    )
+    co2stop: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="CO2Stop data source configuration.",
+    )
+    nitrogen_statistics: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Nitrogen statistics data source configuration.",
+    )
+    eu_nuts2013: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="EU NUTS 2013 data source configuration.",
+    )
+    eu_nuts2021: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="EU NUTS 2021 data source configuration.",
+    )
+    eurostat_balances: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Eurostat balances data source configuration.",
+    )
+    eurostat_household_balances: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Eurostat household balances data source configuration.",
+    )
+    wdpa: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="WDPA data source configuration.",
+    )
+    wdpa_marine: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="WDPA Marine data source configuration.",
+    )
+    luisa_land_cover: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="LUISA land cover data source configuration.",
+    )
+    jrc_idees: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="JRC IDEES data source configuration.",
+    )
+    scigrid_gas: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="SciGRID Gas data source configuration.",
+    )
+    synthetic_electricity_demand: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="Synthetic electricity demand data source configuration.",
+    )
+    copernicus_land_cover: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="Copernicus land cover data source configuration.",
+    )
+    ship_raster: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Ship raster data source configuration.",
+    )
+    eez: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="EEZ data source configuration.",
+    )
+    nuts3_population: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="NUTS3 population data source configuration.",
+    )
+    gdp_per_capita: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="GDP per capita data source configuration.",
+    )
+    population_count: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Population count data source configuration.",
+    )
+    ghg_emissions: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="GHG emissions data source configuration.",
+    )
+    gebco: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="GEBCO data source configuration.",
+    )
+    attributed_ports: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Attributed ports data source configuration.",
+    )
+    corine: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="CORINE data source configuration.",
+    )
+    emobility: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="E-mobility data source configuration.",
+    )
+    h2_salt_caverns: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="H2 salt caverns data source configuration.",
+    )
+    lau_regions: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="LAU regions data source configuration.",
+    )
+    aquifer_data: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Aquifer data source configuration.",
+    )
+    osm_boundaries: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="OSM boundaries data source configuration.",
+    )
+    gem_gspt: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="GEM GSPT data source configuration.",
+    )
+    tyndp: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="TYNDP data source configuration.",
+    )
+    powerplants: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="Powerplants data source configuration.",
+    )
+    costs: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="Costs data source configuration.",
+    )
+    country_runoff: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Country runoff data source configuration.",
+    )
+    country_hdd: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Country HDD data source configuration.",
+    )
+    natura: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Natura data source configuration.",
+    )
+    bfs_road_vehicle_stock: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="BFS road vehicle stock data source configuration.",
+    )
+    bfs_gdp_and_population: _DataSourceConfig = Field(
+        default_factory=lambda: _DataSourceConfig(source="primary"),
+        description="BFS GDP and population data source configuration.",
+    )
+    mobility_profiles: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Mobility profiles data source configuration.",
+    )
+    cutout: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Cutout data source configuration.",
+    )
+    dh_areas: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="District heating areas data source configuration.",
+    )
+    geothermal_heat_utilisation_potentials: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Geothermal heat utilisation potentials data source configuration.",
+    )
+    jrc_ardeco: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="JRC ARDECO data source configuration.",
+    )
diff --git a/scripts/lib/validation/config/electricity.py b/scripts/lib/validation/config/electricity.py
new file mode 100644
index 000000000..87c6f7d7f
--- /dev/null
+++ b/scripts/lib/validation/config/electricity.py
@@ -0,0 +1,230 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Electricity configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#electricity
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _OperationalReserveConfig(ConfigModel):
+    """Configuration for `electricity.operational_reserve` settings."""
+
+    activate: bool = Field(
+        False,
+        description="Whether to take operational reserve requirements into account during optimisation.",
+    )
+    epsilon_load: float = Field(
+        0.02,
+        description="share of total load.",
+    )
+    epsilon_vres: float = Field(
+        0.02,
+        description="share of total renewable supply.",
+    )
+    contingency: float = Field(
+        4000,
+        description="Fixed reserve capacity (MW).",
+    )
+
+
+class _MaxHoursConfig(BaseModel):
+    """Configuration for `electricity.max_hours` settings."""
+
+    battery: float = Field(
+        6,
+        description="Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+    )
+    H2: float = Field(
+        168,
+        description="Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+    )
+
+
+class _ExtendableCarriersConfig(BaseModel):
+    """Configuration for `electricity.extendable_carriers` settings."""
+
+    Generator: list[str] = Field(
+        default_factory=lambda: [
+            "solar",
+            "solar-hsat",
+            "onwind",
+            "offwind-ac",
+            "offwind-dc",
+            "offwind-float",
+            "OCGT",
+            "CCGT",
+        ],
+        description="Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the `conventional_carriers` list, the lower limit of the capacity expansion is set to 0.",
+    )
+    StorageUnit: list[str] = Field(
+        default_factory=list,
+        description="Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+    )
+    Store: list[str] = Field(
+        default_factory=lambda: ["battery", "H2"],
+        description="Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.",
+    )
+    Link: list[str] = Field(
+        default_factory=list,
+        description="Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as `Store`.",
+    )
+
+
+class _TechnologyMappingConfig(BaseModel):
+    """Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings."""
+
+    Offshore: str = Field(
+        "offwind-ac",
+        description="PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM).",
+    )
+    Onshore: str = Field(
+        "onwind",
+        description="PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM).",
+    )
+    PV: str = Field(
+        "solar",
+        description="PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM).",
+    )
+
+
+class _EstimateRenewableCapacitiesConfig(BaseModel):
+    """Configuration for `electricity.estimate_renewable_capacities` settings."""
+
+    enable: bool = Field(
+        True,
+        description="Activate routine to estimate renewable capacities in rule `add_electricity`. This option should not be used in combination with pathway planning `foresight: myopic` or `foresight: perfect` as renewable capacities are added differently in `add_existing_baseyear`.",
+    )
+    from_gem: bool = Field(
+        True,
+        description="Add renewable capacities from `Global Energy Monitor's Global Solar Power Tracker <https://globalenergymonitor.org/projects/global-solar-power-tracker/>`_ and `Global Energy Monitor's Global Wind Power Tracker <https://globalenergymonitor.org/projects/global-wind-power-tracker/>`_.",
+    )
+    year: int = Field(
+        2020,
+        description="Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year.",
+    )
+    expansion_limit: float | bool = Field(
+        False,
+        description="Artificially limit maximum IRENA capacities to a factor. For example, an `expansion_limit: 1.1` means 110% of capacities. If false are chosen, the estimated renewable potentials determine by the workflow are used.",
+    )
+    technology_mapping: _TechnologyMappingConfig = Field(
+        default_factory=_TechnologyMappingConfig,
+        description="Mapping between PyPSA-Eur and powerplantmatching technology names.",
+    )
+
+
+class _AutarkyConfig(BaseModel):
+    """Configuration for `electricity.autarky` settings."""
+
+    enable: bool = Field(
+        False,
+        description="Require each node to be autarkic by removing all lines and links.",
+    )
+    by_country: bool = Field(
+        False,
+        description="Require each country to be autarkic by removing all cross-border lines and links. `electricity: autarky` must be enabled.",
+    )
+
+
+class ElectricityConfig(BaseModel):
+    """Configuration for `electricity` settings."""
+
+    voltages: list[float] = Field(
+        default_factory=lambda: [220.0, 300.0, 330.0, 380.0, 400.0, 500.0, 750.0],
+        description="Voltage levels to consider.",
+    )
+    base_network: Literal["entsoegridkit", "osm", "tyndp"] = Field(
+        "osm",
+        description="Specify the underlying base network, i.e. GridKit (based on ENTSO-E web map extract), OpenStreetMap (OSM), or TYNDP.",
+    )
+    gaslimit_enable: bool = Field(
+        False,
+        description="Add an overall absolute gas limit configured in `electricity: gaslimit`.",
+    )
+    gaslimit: float | bool = Field(
+        False,
+        description="Global gas usage limit.",
+    )
+    co2limit_enable: bool = Field(
+        False,
+        description="Add an overall absolute carbon-dioxide emissions limit configured in `electricity: co2limit` in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks.",
+    )
+    co2limit: float = Field(
+        7.75e7,
+        description="Cap on total annual system carbon dioxide emissions.",
+    )
+    co2base: float = Field(
+        1.487e9,
+        description="Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in `{opts}` wildcard.",
+    )
+    operational_reserve: _OperationalReserveConfig = Field(
+        default_factory=_OperationalReserveConfig,
+        description="Settings for reserve requirements following `GenX <https://genxproject.github.io/GenX/dev/core/#Reserves>`_.",
+    )
+    max_hours: _MaxHoursConfig = Field(
+        default_factory=_MaxHoursConfig,
+        description="Maximum storage hours configuration.",
+    )
+    extendable_carriers: _ExtendableCarriersConfig = Field(
+        default_factory=_ExtendableCarriersConfig,
+        description="Defines which carriers are extendable during optimization.",
+    )
+    powerplants_filter: str | bool = Field(
+        "(DateOut >= 2024 or DateOut != DateOut) and not (Country == 'Germany' and Fueltype == 'Nuclear')",
+        description="Filter query for the default powerplant database.",
+    )
+    custom_powerplants: str | bool = Field(
+        False,
+        description="Filter query for the custom powerplant database.",
+    )
+    everywhere_powerplants: list[str] = Field(
+        default_factory=list,
+        description="List of conventional power plants to add to every node in the model with zero initial capacity. To be used in combination with `extendable_carriers` to allow for building conventional powerplants irrespective of existing locations.",
+    )
+    conventional_carriers: list[str] = Field(
+        default_factory=lambda: [
+            "nuclear",
+            "oil",
+            "OCGT",
+            "CCGT",
+            "coal",
+            "lignite",
+            "geothermal",
+            "biomass",
+        ],
+        description="List of conventional power plants to include in the model from `resources/powerplants_s_{clusters}.csv`. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound.",
+    )
+    renewable_carriers: list[str] = Field(
+        default_factory=lambda: [
+            "solar",
+            "solar-hsat",
+            "onwind",
+            "offwind-ac",
+            "offwind-dc",
+            "offwind-float",
+            "hydro",
+        ],
+        description="List of renewable generators to include in the model.",
+    )
+    estimate_renewable_capacities: _EstimateRenewableCapacitiesConfig = Field(
+        default_factory=_EstimateRenewableCapacitiesConfig,
+        description="Configuration for estimating renewable capacities.",
+    )
+    autarky: _AutarkyConfig = Field(
+        default_factory=_AutarkyConfig,
+        description="Autarky configuration.",
+    )
+    transmission_limit: str = Field(
+        "vopt",
+        description="Limit on transmission expansion. The first part can be `v` (for setting a limit on line volume) or `c` (for setting a limit on line cost). The second part can be `opt` or a float bigger than one (e.g. 1.25). If `opt` is chosen line expansion is optimised according to its capital cost (where the choice `v` only considers overhead costs for HVDC transmission lines, while `c` uses more accurate costs distinguishing between overhead and underwater sections and including inverter pairs). The setting `v1.25` will limit the total volume of line expansion to 25% of currently installed capacities weighted by individual line lengths. The setting `c1.25` will allow to build a transmission network that costs no more than 25 % more than the current system.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
diff --git a/scripts/lib/validation/config/enable.py b/scripts/lib/validation/config/enable.py
new file mode 100644
index 000000000..74b529854
--- /dev/null
+++ b/scripts/lib/validation/config/enable.py
@@ -0,0 +1,22 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Enable configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#enable
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class EnableConfig(ConfigModel):
+    """Configuration for `enable` settings."""
+
+    drop_leap_day: bool = Field(
+        True,
+        description="Switch to drop February 29 from all time-dependent data in leap years.",
+    )
diff --git a/scripts/lib/validation/config/energy.py b/scripts/lib/validation/config/energy.py
new file mode 100644
index 000000000..29898c600
--- /dev/null
+++ b/scripts/lib/validation/config/energy.py
@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Energy configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#energy
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class EnergyConfig(ConfigModel):
+    """Configuration for `energy` settings."""
+
+    energy_totals_year: int = Field(
+        2019,
+        description="The year for the sector energy use. The year must be available in the Eurostat report.",
+    )
+    base_emissions_year: int = Field(
+        1990,
+        description="The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_.",
+    )
+    emissions: str = Field(
+        "CO2",
+        description="Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented.",
+    )
diff --git a/scripts/lib/validation/config/existing_capacities.py b/scripts/lib/validation/config/existing_capacities.py
new file mode 100644
index 000000000..105760211
--- /dev/null
+++ b/scripts/lib/validation/config/existing_capacities.py
@@ -0,0 +1,66 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Existing capacities configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#existing-capacities
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class ExistingCapacitiesConfig(ConfigModel):
+    """Configuration for `existing_capacities` settings."""
+
+    grouping_years_power: list[int] = Field(
+        default_factory=lambda: [
+            1920,
+            1950,
+            1955,
+            1960,
+            1965,
+            1970,
+            1975,
+            1980,
+            1985,
+            1990,
+            1995,
+            2000,
+            2005,
+            2010,
+            2015,
+            2020,
+            2025,
+        ],
+        description="Intervals to group existing capacities for power.",
+    )
+    grouping_years_heat: list[int] = Field(
+        default_factory=lambda: [
+            1980,
+            1985,
+            1990,
+            1995,
+            2000,
+            2005,
+            2010,
+            2015,
+            2019,
+        ],
+        description="Intervals to group existing capacities for heat.",
+    )
+    threshold_capacity: float = Field(
+        10,
+        description="Capacities (MW) of generators and links below threshold are removed during add_existing_capacities.",
+    )
+    default_heating_lifetime: int = Field(
+        20,
+        description="Default lifetime for heating technologies (years).",
+    )
+    conventional_carriers: list[str] = Field(
+        default_factory=lambda: ["lignite", "coal", "oil", "uranium"],
+        description="List of conventional power plants to include in the sectoral network.",
+    )
diff --git a/scripts/lib/validation/config/foresight.py b/scripts/lib/validation/config/foresight.py
new file mode 100644
index 000000000..86d92c813
--- /dev/null
+++ b/scripts/lib/validation/config/foresight.py
@@ -0,0 +1,22 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Foresight configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#foresight
+"""
+
+from typing import Literal
+
+from pydantic import Field, RootModel
+
+
+class ForesightConfig(RootModel[Literal["overnight", "myopic", "perfect"]]):
+    """Configuration for `foresight` settings."""
+
+    root: Literal["overnight", "myopic", "perfect"] = Field(
+        "overnight",
+        description="See Foresight Options for detail explanations.",
+    )
diff --git a/scripts/lib/validation/config/industry.py b/scripts/lib/validation/config/industry.py
new file mode 100644
index 000000000..9af8d343d
--- /dev/null
+++ b/scripts/lib/validation/config/industry.py
@@ -0,0 +1,210 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Industry configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#industry
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class IndustryConfig(ConfigModel):
+    """Configuration for `industry` settings."""
+
+    St_primary_fraction: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.6,
+            2025: 0.55,
+            2030: 0.5,
+            2035: 0.45,
+            2040: 0.4,
+            2045: 0.35,
+            2050: 0.3,
+        },
+        description="The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6.",
+    )
+    DRI_fraction: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0,
+            2030: 0.05,
+            2035: 0.2,
+            2040: 0.4,
+            2045: 0.7,
+            2050: 1,
+        },
+        description="The fraction of the primary route DRI + EAF.",
+    )
+    H2_DRI: float = Field(
+        1.7,
+        description="The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_.",
+    )
+    elec_DRI: float = Field(
+        0.322,
+        description="The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_.",
+    )
+    Al_primary_fraction: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.4,
+            2025: 0.375,
+            2030: 0.35,
+            2035: 0.325,
+            2040: 0.3,
+            2045: 0.25,
+            2050: 0.2,
+        },
+        description="The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4.",
+    )
+    MWh_NH3_per_tNH3: float = Field(
+        5.166,
+        description="The energy amount per ton of ammonia (LHV).",
+    )
+    MWh_CH4_per_tNH3_SMR: float = Field(
+        10.8,
+        description="The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_.",
+    )
+    MWh_elec_per_tNH3_SMR: float = Field(
+        0.7,
+        description="The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3.",
+    )
+    MWh_H2_per_tNH3_electrolysis: float = Field(
+        5.93,
+        description="The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy).",
+    )
+    MWh_elec_per_tNH3_electrolysis: float = Field(
+        0.2473,
+        description="The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB).",
+    )
+    MWh_NH3_per_MWh_H2_cracker: float = Field(
+        1.46,
+        description="The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker.",
+    )
+    NH3_process_emissions: float = Field(
+        24.5,
+        description="The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28.",
+    )
+    petrochemical_process_emissions: float = Field(
+        25.5,
+        description="The emission of petrochemical production. From UNFCCC for 2015 for EU28.",
+    )
+    HVC_primary_fraction: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.88,
+            2025: 0.85,
+            2030: 0.78,
+            2035: 0.7,
+            2040: 0.6,
+            2045: 0.5,
+            2050: 0.4,
+        },
+        description="The fraction of high value chemicals (HVC) produced via primary route.",
+    )
+    HVC_mechanical_recycling_fraction: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.12,
+            2025: 0.15,
+            2030: 0.18,
+            2035: 0.21,
+            2040: 0.24,
+            2045: 0.27,
+            2050: 0.30,
+        },
+        description="The fraction of high value chemicals (HVC) produced using mechanical recycling.",
+    )
+    HVC_chemical_recycling_fraction: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.0,
+            2025: 0.0,
+            2030: 0.04,
+            2035: 0.08,
+            2040: 0.12,
+            2045: 0.16,
+            2050: 0.20,
+        },
+        description="The fraction of high value chemicals (HVC) produced using chemical recycling.",
+    )
+    HVC_environment_sequestration_fraction: float = Field(
+        0.0,
+        description="The fraction of high value chemicals (HVC) put into landfill resulting in additional carbon sequestration. The default value is 0.",
+    )
+    waste_to_energy: bool = Field(
+        False,
+        description="Switch to enable expansion of waste to energy CHPs for conversion of plastics. Default is false.",
+    )
+    waste_to_energy_cc: bool = Field(
+        False,
+        description="Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false.",
+    )
+    sector_ratios_fraction_future: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.0,
+            2025: 0.05,
+            2030: 0.2,
+            2035: 0.45,
+            2040: 0.7,
+            2045: 0.85,
+            2050: 1.0,
+        },
+        description="The fraction of total progress in fuel and process switching achieved in the industry sector.",
+    )
+    basic_chemicals_without_NH3_production_today: float = Field(
+        69.0,
+        description="The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3).",
+    )
+    HVC_production_today: float = Field(
+        52.0,
+        description="The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107.",
+    )
+    MWh_elec_per_tHVC_mechanical_recycling: float = Field(
+        0.547,
+        description="The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.",
+    )
+    MWh_elec_per_tHVC_chemical_recycling: float = Field(
+        6.9,
+        description="The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125.",
+    )
+    chlorine_production_today: float = Field(
+        9.58,
+        description="The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43.",
+    )
+    MWh_elec_per_tCl: float = Field(
+        3.6,
+        description="The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43.",
+    )
+    MWh_H2_per_tCl: float = Field(
+        -0.9372,
+        description="The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43.",
+    )
+    methanol_production_today: float = Field(
+        1.5,
+        description="The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62.",
+    )
+    MWh_elec_per_tMeOH: float = Field(
+        0.167,
+        description="The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65.",
+    )
+    MWh_CH4_per_tMeOH: float = Field(
+        10.25,
+        description="The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65.",
+    )
+    MWh_MeOH_per_tMeOH: float = Field(
+        5.528,
+        description="The energy amount per ton of methanol (LHV). From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 74.",
+    )
+    hotmaps_locate_missing: bool = Field(
+        False,
+        description="Locate industrial sites without valid locations based on city and countries.",
+    )
+    reference_year: int = Field(
+        2019,
+        description="The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
+    )
+    oil_refining_emissions: float = Field(
+        0.013,
+        description="The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar.",
+    )
diff --git a/scripts/lib/validation/config/lines.py b/scripts/lib/validation/config/lines.py
new file mode 100644
index 000000000..7ef71cc85
--- /dev/null
+++ b/scripts/lib/validation/config/lines.py
@@ -0,0 +1,91 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Lines configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#lines
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _DynamicLineRatingConfig(ConfigModel):
+    """Configuration for `lines.dynamic_line_rating` settings."""
+
+    activate: bool = Field(
+        False,
+        description="Whether to take dynamic line rating into account.",
+    )
+    cutout: str | list[str] = Field(
+        "default",
+        description="Specifies the weather data cutout file(s) to use.",
+    )
+    correction_factor: float = Field(
+        0.95,
+        description="Factor to compensate for overestimation of wind speeds in hourly averaged wind data.",
+    )
+    max_voltage_difference: float | Literal[False] = Field(
+        False,
+        description="Maximum voltage angle difference in degrees or 'false' to disable.",
+    )
+    max_line_rating: float | Literal[False] = Field(
+        False,
+        description="Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable.",
+    )
+
+
+class LinesConfig(BaseModel):
+    """Configuration for `lines` settings."""
+
+    types: dict[float, str] = Field(
+        default_factory=lambda: {
+            63.0: "94-AL1/15-ST1A 20.0",
+            66.0: "94-AL1/15-ST1A 20.0",
+            90.0: "184-AL1/30-ST1A 110.0",
+            110.0: "184-AL1/30-ST1A 110.0",
+            132.0: "243-AL1/39-ST1A 110.0",
+            150.0: "243-AL1/39-ST1A 110.0",
+            220.0: "Al/St 240/40 2-bundle 220.0",
+            300.0: "Al/St 240/40 3-bundle 300.0",
+            330.0: "Al/St 240/40 3-bundle 300.0",
+            380.0: "Al/St 240/40 4-bundle 380.0",
+            400.0: "Al/St 240/40 4-bundle 380.0",
+            500.0: "Al/St 240/40 4-bundle 380.0",
+            750.0: "Al/St 560/50 4-bundle 750.0",
+        },
+        description="Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV.",
+    )
+    s_max_pu: float = Field(
+        0.7,
+        description="Correction factor for line capacities (`s_nom`) to approximate N-1 security and reserve capacity for reactive power flows.",
+    )
+    s_nom_max: float = Field(
+        float("inf"),
+        description="Global upper limit for the maximum capacity of each extendable line (MW).",
+    )
+    max_extension: float = Field(
+        20000,
+        description="Upper limit for the extended capacity of each extendable line (MW).",
+    )
+    length_factor: float = Field(
+        1.25,
+        description="Correction factor to account for the fact that buses are *not* connected by lines through air-line distance.",
+    )
+    reconnect_crimea: bool = Field(
+        True,
+        description="Whether to reconnect Crimea to the Ukrainian grid.",
+    )
+    under_construction: Literal["zero", "remove", "keep"] = Field(
+        "keep",
+        description="Specifies how to handle lines which are currently under construction.",
+    )
+    dynamic_line_rating: _DynamicLineRatingConfig = Field(
+        default_factory=_DynamicLineRatingConfig,
+        description="Configuration for dynamic line rating.",
+    )
diff --git a/scripts/lib/validation/config/links.py b/scripts/lib/validation/config/links.py
new file mode 100644
index 000000000..a994c20af
--- /dev/null
+++ b/scripts/lib/validation/config/links.py
@@ -0,0 +1,44 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Links configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#links
+"""
+
+from typing import Literal
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class LinksConfig(ConfigModel):
+    """Configuration for `links` settings."""
+
+    p_max_pu: float = Field(
+        1.0,
+        description="Correction factor for link capacities `p_nom`.",
+    )
+    p_min_pu: float = Field(
+        -1.0,
+        description="Correction factor for link capacities `p_nom`.",
+    )
+    p_nom_max: float = Field(
+        float("inf"),
+        description="Global upper limit for the maximum capacity of each extendable DC link (MW).",
+    )
+    max_extension: float = Field(
+        30000,
+        description="Upper limit for the extended capacity of each extendable DC link (MW).",
+    )
+    length_factor: float = Field(
+        1.25,
+        description="Correction factor to account for the fact that buses are *not* connected by links through air-line distance.",
+    )
+    under_construction: Literal["zero", "remove", "keep"] = Field(
+        "keep",
+        description="Specifies how to handle lines which are currently under construction.",
+    )
diff --git a/scripts/lib/validation/config/load.py b/scripts/lib/validation/config/load.py
new file mode 100644
index 000000000..e23152b10
--- /dev/null
+++ b/scripts/lib/validation/config/load.py
@@ -0,0 +1,72 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Load configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#load
+"""
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _FillGapsConfig(ConfigModel):
+    """Configuration for `load.fill_gaps` settings."""
+
+    enable: bool = Field(
+        True,
+        description="Whether to fill gaps using interpolation for small gaps and time shift for large gaps.",
+    )
+    interpolate_limit: int = Field(
+        3,
+        description="Maximum gap size (consecutive nans) which interpolated linearly.",
+    )
+    time_shift_for_large_gaps: str = Field(
+        "1w",
+        description="Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid `pandas` period strings.",
+    )
+
+
+class _DistributionKeyConfig(BaseModel):
+    """Configuration for `load.distribution_key` settings."""
+
+    gdp: float = Field(
+        0.6,
+        description="Weighting factor for the GDP data in the distribution key.",
+    )
+    population: float = Field(
+        0.4,
+        description="Weighting factor for the population data in the distribution key.",
+    )
+
+
+class LoadConfig(BaseModel):
+    """Configuration for `load` settings."""
+
+    fill_gaps: _FillGapsConfig = Field(
+        default_factory=_FillGapsConfig,
+        description="Gaps filling strategy used.",
+    )
+    manual_adjustments: bool = Field(
+        True,
+        description="Whether to adjust the load data manually according to the function in `manual_adjustment`.",
+    )
+    scaling_factor: float = Field(
+        1.0,
+        description="Global correction factor for the load time series.",
+    )
+    fixed_year: int | bool = Field(
+        False,
+        description="To specify a fixed year for the load time series that deviates from the snapshots' year.",
+    )
+    supplement_synthetic: bool = Field(
+        True,
+        description="Whether to supplement missing data for selected time period should be supplemented by synthetic data from `Zenodo <https://zenodo.org/records/10820928>`_.",
+    )
+    distribution_key: _DistributionKeyConfig = Field(
+        default_factory=_DistributionKeyConfig,
+        description="Distribution key for spatially disaggregating the per-country electricity demand data.",
+    )
diff --git a/scripts/lib/validation/config/overpass_api.py b/scripts/lib/validation/config/overpass_api.py
new file mode 100644
index 000000000..5ab095fc2
--- /dev/null
+++ b/scripts/lib/validation/config/overpass_api.py
@@ -0,0 +1,49 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Overpass API configuration.
+"""
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _UserAgentConfig(ConfigModel):
+    """Configuration for `overpass_api.user_agent` settings."""
+
+    project_name: str = Field(
+        "PyPSA-Eur",
+        description="Project name used to identify the user agent of the Overpass API requests.",
+    )
+    email: str = Field(
+        "contact@pypsa.org",
+        description="Contact email address for the project using the Overpass API.",
+    )
+    website: str = Field(
+        "https://github.com/PyPSA/pypsa-eur",
+        description="Website URL for the project using the Overpass API.",
+    )
+
+
+class OverpassApiConfig(BaseModel):
+    """Configuration for `overpass_api` settings."""
+
+    url: str = Field(
+        "https://overpass-api.de/api/interpreter",
+        description="Overpass API endpoint URL. See `Overpass API Wiki <https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances>`_ for available public instances.",
+    )
+    max_tries: int = Field(
+        5,
+        description="Maximum retry attempts for Overpass API requests. Please be respectful to the Overpass API fair use policy of the individual instances.",
+    )
+    timeout: int = Field(
+        600,
+        description="Timeout in seconds for Overpass API requests.",
+    )
+    user_agent: _UserAgentConfig = Field(
+        default_factory=_UserAgentConfig,
+        description="Please provide your own user agent details when using the Overpass API,so the instance operators can contact you if needed.",
+    )
diff --git a/scripts/lib/validation/config/pypsa_eur.py b/scripts/lib/validation/config/pypsa_eur.py
new file mode 100644
index 000000000..2ffbf0b57
--- /dev/null
+++ b/scripts/lib/validation/config/pypsa_eur.py
@@ -0,0 +1,49 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+PyPSA-Eur component configuration.
+
+Regulates what components with which carriers are kept from PyPSA-Eur.
+Some technologies are removed because they are implemented differently
+(e.g. battery or H2 storage) or have different year-dependent costs.
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class PypsaEurConfig(ConfigModel):
+    """Configuration for `pypsa_eur` settings."""
+
+    Bus: list[str] = Field(
+        default_factory=lambda: ["AC"],
+        description="Bus carriers to keep from PyPSA-Eur.",
+    )
+    Link: list[str] = Field(
+        default_factory=lambda: ["DC"],
+        description="Link carriers to keep from PyPSA-Eur.",
+    )
+    Generator: list[str] = Field(
+        default_factory=lambda: [
+            "onwind",
+            "offwind-ac",
+            "offwind-dc",
+            "offwind-float",
+            "solar-hsat",
+            "solar",
+            "ror",
+            "nuclear",
+        ],
+        description="Generator carriers to keep from PyPSA-Eur.",
+    )
+    StorageUnit: list[str] = Field(
+        default_factory=lambda: ["PHS", "hydro"],
+        description="StorageUnit carriers to keep from PyPSA-Eur.",
+    )
+    Store: list[str] = Field(
+        default_factory=list,
+        description="Store carriers to keep from PyPSA-Eur.",
+    )
diff --git a/scripts/lib/validation/config/renewable.py b/scripts/lib/validation/config/renewable.py
new file mode 100644
index 000000000..85cbf124d
--- /dev/null
+++ b/scripts/lib/validation/config/renewable.py
@@ -0,0 +1,357 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Renewable energy configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#renewable
+"""
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _WindResourceConfig(ConfigModel):
+    """Configuration for wind resource settings."""
+
+    method: str = Field("wind", description="A superordinate technology type.")
+    turbine: str | dict[int, str] = Field(
+        ...,
+        description="Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available.",
+    )
+    smooth: bool = Field(
+        False,
+        description="Switch to apply a gaussian kernel density smoothing to the power curve.",
+    )
+    add_cutout_windspeed: bool = Field(
+        True,
+        description="Whether to add cutout windspeed data.",
+    )
+
+
+class _SolarResourceConfig(BaseModel):
+    """Configuration for solar resource settings."""
+
+    method: str = Field("pv", description="A superordinate technology type.")
+    panel: str | dict[int, str] = Field(
+        "CSi",
+        description="Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available.",
+    )
+    orientation: dict[str, float] = Field(
+        default_factory=lambda: {"slope": 35.0, "azimuth": 180.0},
+        description="Panel orientation with slope and azimuth.",
+    )
+    tracking: str | None = Field(
+        None,
+        description="Tracking type (e.g., 'horizontal').",
+    )
+
+
+class _CorineConfig(BaseModel):
+    """Configuration for CORINE land cover settings."""
+
+    grid_codes: list[int] = Field(
+        ...,
+        description="Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement.",
+    )
+    distance: float = Field(
+        1000,
+        description="Distance in meters to keep from areas specified in `distance_grid_codes`.",
+    )
+    distance_grid_codes: list[int] = Field(
+        default_factory=list,
+        description="Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`.",
+    )
+
+
+class _OnwindConfig(BaseModel):
+    """Configuration for onshore wind."""
+
+    cutout: str | list[str] = Field(
+        "default", description="Specifies the weather data cutout file(s) to use."
+    )
+    resource: _WindResourceConfig = Field(
+        default_factory=lambda: _WindResourceConfig(turbine="Vestas_V112_3MW"),
+        description="Wind resource configuration.",
+    )
+    resource_classes: int = Field(
+        1, description="Number of resource classes per clustered region."
+    )
+    capacity_per_sqkm: float = Field(
+        3, description="Allowable density of wind turbine placement."
+    )
+    correction_factor: float = Field(
+        1.0, description="Correction factor for capacity factor time series."
+    )
+    corine: _CorineConfig = Field(
+        default_factory=lambda: _CorineConfig(
+            grid_codes=[
+                12,
+                13,
+                14,
+                15,
+                16,
+                17,
+                18,
+                19,
+                20,
+                21,
+                22,
+                23,
+                24,
+                25,
+                26,
+                27,
+                28,
+                29,
+                31,
+                32,
+            ],
+            distance=1000,
+            distance_grid_codes=[1, 2, 3, 4, 5, 6],
+        ),
+        description="CORINE land cover configuration.",
+    )
+    luisa: bool | dict = Field(False, description="LUISA land cover configuration.")
+    natura: bool = Field(
+        True,
+        description="Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+    )
+    excluder_resolution: float = Field(
+        100,
+        description="Resolution in meters on which to perform geographical eligibility analysis.",
+    )
+    clip_p_max_pu: float = Field(
+        0.01,
+        description="To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+    )
+
+
+class _OffwindConfig(BaseModel):
+    """Configuration for offshore wind."""
+
+    cutout: str | list[str] = Field(
+        "default", description="Specifies the weather data cutout file(s) to use."
+    )
+    resource: _WindResourceConfig = Field(
+        default_factory=lambda: _WindResourceConfig(
+            turbine="NREL_ReferenceTurbine_2020ATB_5.5MW"
+        ),
+        description="Wind resource configuration.",
+    )
+    resource_classes: int = Field(
+        1, description="Number of resource classes per clustered region."
+    )
+    capacity_per_sqkm: float = Field(
+        2, description="Allowable density of wind turbine placement."
+    )
+    correction_factor: float = Field(
+        0.8855, description="Correction factor for capacity factor time series."
+    )
+    corine: list[int] = Field(
+        default_factory=lambda: [44, 255],
+        description="Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
+    )
+    luisa: bool | list[int] = Field(
+        False,
+        description="Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement.",
+    )
+    natura: bool = Field(
+        True,
+        description="Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+    )
+    ship_threshold: float = Field(
+        400, description="Ship density threshold from which areas are excluded."
+    )
+    max_depth: float | None = Field(
+        None,
+        description="Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential.",
+    )
+    min_depth: float | None = Field(None, description="Minimum water depth in meters.")
+    max_shore_distance: float | None = Field(
+        None,
+        description="Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential.",
+    )
+    min_shore_distance: float | None = Field(
+        None,
+        description="Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential.",
+    )
+    excluder_resolution: float = Field(
+        200,
+        description="Resolution in meters on which to perform geographical eligibility analysis.",
+    )
+    clip_p_max_pu: float = Field(
+        0.01,
+        description="To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+    )
+    landfall_length: float | str = Field(
+        20,
+        description="Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus.",
+    )
+
+
+class _SolarConfig(BaseModel):
+    """Configuration for solar PV."""
+
+    cutout: str | list[str] = Field(
+        "default", description="Specifies the weather data cutout file(s) to use."
+    )
+    resource: _SolarResourceConfig = Field(
+        default_factory=_SolarResourceConfig,
+        description="Solar resource configuration.",
+    )
+    resource_classes: int = Field(
+        1, description="Number of resource classes per clustered region."
+    )
+    capacity_per_sqkm: float = Field(
+        5.1, description="Allowable density of solar panel placement."
+    )
+    correction_factor: float = Field(
+        1.0,
+        description="A correction factor for the capacity factor (availability) time series.",
+    )
+    corine: list[int] = Field(
+        default_factory=lambda: [
+            1,
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            26,
+            31,
+            32,
+        ],
+        description="Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement.",
+    )
+    luisa: bool | list[int] = Field(
+        False,
+        description="Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement.",
+    )
+    natura: bool = Field(
+        True,
+        description="Switch to exclude `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas. Area is excluded if `true`.",
+    )
+    excluder_resolution: float = Field(
+        100,
+        description="Resolution in meters on which to perform geographical eligibility analysis.",
+    )
+    clip_p_max_pu: float = Field(
+        0.01,
+        description="To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+    )
+
+
+class _HydroConfig(BaseModel):
+    """Configuration for hydropower."""
+
+    cutout: str | list[str] = Field(
+        "default", description="Specifies the weather data cutout file(s) to use."
+    )
+    carriers: list[str] = Field(
+        default_factory=lambda: ["ror", "PHS", "hydro"],
+        description="Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams.",
+    )
+    PHS_max_hours: float = Field(
+        6,
+        description="Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+    )
+    hydro_max_hours: str | float = Field(
+        "energy_capacity_totals_by_country",
+        description="Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.",
+    )
+    flatten_dispatch: bool = Field(
+        False,
+        description="Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in `flatten_dispatch_buffer`.",
+    )
+    flatten_dispatch_buffer: float = Field(
+        0.2,
+        description="If `flatten_dispatch` is true, specify the value added above the average capacity factor.",
+    )
+    clip_min_inflow: float = Field(
+        1.0,
+        description="To avoid too small values in the inflow time series, values below this threshold (MW) are set to zero.",
+    )
+    eia_norm_year: bool | int = Field(
+        False,
+        description="To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year.",
+    )
+    eia_correct_by_capacity: bool = Field(
+        False,
+        description="Correct EIA annual hydro generation data by installed capacity.",
+    )
+    eia_approximate_missing: bool = Field(
+        False,
+        description="Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff.",
+    )
+
+
+class RenewableConfig(BaseModel):
+    """Configuration for `renewable` settings."""
+
+    onwind: _OnwindConfig = Field(
+        default_factory=_OnwindConfig,
+        description="Onshore wind configuration.",
+    )
+    offwind_ac: _OffwindConfig = Field(
+        default_factory=lambda: _OffwindConfig(
+            max_depth=60,
+            max_shore_distance=30000,
+            landfall_length=20,
+        ),
+        alias="offwind-ac",
+        description="Offshore wind AC configuration.",
+    )
+    offwind_dc: _OffwindConfig = Field(
+        default_factory=lambda: _OffwindConfig(
+            max_depth=60,
+            min_shore_distance=30000,
+            landfall_length=30,
+        ),
+        alias="offwind-dc",
+        description="Offshore wind DC configuration.",
+    )
+    offwind_float: _OffwindConfig = Field(
+        default_factory=lambda: _OffwindConfig(
+            resource=_WindResourceConfig(turbine="NREL_ReferenceTurbine_5MW_offshore"),
+            min_depth=60,
+            max_depth=1000,
+            landfall_length=40,
+        ),
+        alias="offwind-float",
+        description="Floating offshore wind configuration.",
+    )
+    solar: _SolarConfig = Field(
+        default_factory=_SolarConfig,
+        description="Solar PV configuration.",
+    )
+    solar_hsat: _SolarConfig = Field(
+        default_factory=lambda: _SolarConfig(
+            resource=_SolarResourceConfig(tracking="horizontal"),
+            capacity_per_sqkm=4.43,
+        ),
+        alias="solar-hsat",
+        description="Solar PV with horizontal single-axis tracking configuration.",
+    )
+    hydro: _HydroConfig = Field(
+        default_factory=_HydroConfig,
+        description="Hydropower configuration.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
diff --git a/scripts/lib/validation/config/run.py b/scripts/lib/validation/config/run.py
new file mode 100644
index 000000000..f0731c3b3
--- /dev/null
+++ b/scripts/lib/validation/config/run.py
@@ -0,0 +1,75 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Run configuration block.
+
+See # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#run
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _ScenariosConfig(ConfigModel):
+    """Configuration for `run.scenarios` level."""
+
+    enable: bool = Field(
+        False,
+        description="Switch to select whether workflow should generate scenarios based on ``file``.",
+    )
+    file: str = Field(
+        "config/scenarios.yaml",
+        description="Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, ``run: scenarios`` has to be set to ``true`` and ``run: name`` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the ``config/create_scenarios.py`` script in the ``config`` directory.",
+        examples=["config/scenarios.yaml"],
+    )
+
+
+class _SharedResourcesConfig(ConfigModel):
+    """Configuration for `run.shared_resources` level."""
+
+    policy: bool | str = Field(
+        False,
+        description="Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared.",
+        examples=[False, "base"],
+    )
+    exclude: list[str] = Field(
+        default_factory=list,
+        description="For the case shared_resources=base, specify additional files that should not be shared across runs.",
+    )
+
+
+class RunConfig(ConfigModel):
+    """Configuration for top level `run` settings."""
+
+    prefix: str = Field(
+        "",
+        description="Prefix for the run name which is used as a top-layer directory name in the results and resources folders.",
+    )
+    name: str | list[str] = Field(
+        "",
+        description="Specify a name for your run. Results will be stored under this name. If ``scenario: enable:`` is set to ``true``, the name must contain a subset of scenario names defined in ``scenario: file:``. If the name is 'all', all defined scenarios will be run.",
+        examples=["my-pypsa-eur-run"],
+    )
+
+    scenarios: _ScenariosConfig = Field(
+        default_factory=_ScenariosConfig,
+        description="Configuration for running multiple scenarios",
+    )
+
+    disable_progressbar: bool = Field(
+        False, description="Switch to select whether progressbar should be disabled."
+    )
+
+    shared_resources: _SharedResourcesConfig = Field(
+        default_factory=_SharedResourcesConfig,
+        description="Shared resources configuration for parallel execution",
+    )
+
+    use_shadow_directory: bool = Field(
+        False,
+        description="Set to ``true`` (default) if snakemake shadow directories (``shallow``) should be used. Set to ``false`` if problems occur.",
+        examples=[True],
+    )
diff --git a/scripts/lib/validation/config/scenario.py b/scripts/lib/validation/config/scenario.py
new file mode 100644
index 000000000..bccaf6093
--- /dev/null
+++ b/scripts/lib/validation/config/scenario.py
@@ -0,0 +1,37 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Scenario configuration block.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#scenario
+Wildcard docs in https://pypsa-eur.readthedocs.io/en/latest/wildcards.html
+"""
+
+from typing import Literal
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class ScenarioConfig(ConfigModel):
+    """Configuration for top level `scenario` settings."""
+
+    clusters: list[int | Literal["adm", "all"]] = Field(
+        default_factory=lambda: [50],
+        description="List of ``{clusters}`` wildcards to run. Use 'adm' for administrative clustering mode, 'all' for all nodes.",
+    )
+    opts: list[str] = Field(
+        default_factory=lambda: [""],
+        description="List of ``{opts}`` wildcards to run.",
+    )
+    sector_opts: list[str] = Field(
+        default_factory=lambda: [""],
+        description="List of ``{sector_opts}`` wildcards to run.",
+    )
+    planning_horizons: list[int] = Field(
+        default_factory=lambda: [2050],
+        description="List of ``{planning_horizon}`` wildcards to run.",
+    )
diff --git a/scripts/lib/validation/config/sector.py b/scripts/lib/validation/config/sector.py
new file mode 100644
index 000000000..1c554073b
--- /dev/null
+++ b/scripts/lib/validation/config/sector.py
@@ -0,0 +1,925 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Sector configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#sector
+"""
+
+from typing import Any
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _DistrictHeatingConfig(ConfigModel):
+    """Configuration for `sector.district_heating` settings."""
+
+    potential: float | dict[str, float] = Field(
+        0.6,
+        description="Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries.",
+    )
+    progress: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.0,
+            2025: 0.1,
+            2030: 0.25,
+            2035: 0.4,
+            2040: 0.55,
+            2045: 0.75,
+            2050: 1.0,
+        },
+        description="Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating.",
+    )
+    district_heating_loss: float = Field(
+        0.15,
+        description="Share increase in district heat demand in urban central due to heat losses.",
+    )
+    supply_temperature_approximation: dict[str, Any] = Field(
+        default_factory=lambda: {
+            "max_forward_temperature_baseyear": {
+                "FR": 110,
+                "DK": 75,
+                "DE": 109,
+                "CZ": 130,
+                "FI": 115,
+                "PL": 130,
+                "SE": 102,
+                "IT": 90,
+            },
+            "min_forward_temperature_baseyear": {"DE": 82},
+            "return_temperature_baseyear": {"DE": 58},
+            "lower_threshold_ambient_temperature": 0,
+            "upper_threshold_ambient_temperature": 10,
+            "rolling_window_ambient_temperature": 72,
+            "relative_annual_temperature_reduction": 0.01,
+        },
+        description="Supply temperature approximation settings.",
+    )
+    ptes: dict[str, Any] = Field(
+        default_factory=lambda: {
+            "dynamic_capacity": False,
+            "supplemental_heating": {"enable": False, "booster_heat_pump": False},
+            "max_top_temperature": 90,
+            "min_bottom_temperature": 35,
+        },
+        description="Pit thermal energy storage settings.",
+    )
+    ates: dict[str, Any] = Field(
+        default_factory=lambda: {
+            "enable": False,
+            "suitable_aquifer_types": ["Highly productive porous aquifers"],
+            "aquifer_volumetric_heat_capacity": 2600,
+            "fraction_of_aquifer_area_available": 0.2,
+            "effective_screen_length": 20,
+            "capex_as_fraction_of_geothermal_heat_source": 0.75,
+            "recovery_factor": 0.6,
+            "marginal_cost_charger": 0.035,
+            "ignore_missing_regions": False,
+        },
+        description="Aquifer thermal energy storage settings.",
+    )
+    heat_source_cooling: float = Field(
+        6, description="Cooling of heat source for heat pumps."
+    )
+    heat_pump_cop_approximation: dict[str, Any] = Field(
+        default_factory=lambda: {
+            "refrigerant": "ammonia",
+            "heat_exchanger_pinch_point_temperature_difference": 5,
+            "isentropic_compressor_efficiency": 0.8,
+            "heat_loss": 0.0,
+            "min_delta_t_lift": 10,
+        },
+        description="Heat pump COP approximation settings.",
+    )
+    limited_heat_sources: dict[str, Any] = Field(
+        default_factory=lambda: {
+            "geothermal": {
+                "constant_temperature_celsius": 65,
+                "ignore_missing_regions": False,
+            },
+            "river_water": {"constant_temperature_celsius": False},
+        },
+        description="Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in `Manz et al. 2024 <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`_.",
+    )
+    direct_utilisation_heat_sources: list[str] = Field(
+        default_factory=lambda: ["geothermal"],
+        description="List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. `geothermal`).",
+    )
+    temperature_limited_stores: list[str] = Field(
+        default_factory=lambda: ["ptes"],
+        description="List of names for stores used as limited heat sources.",
+    )
+    dh_areas: dict[str, Any] = Field(
+        default_factory=lambda: {"buffer": 1000, "handle_missing_countries": "fill"},
+        description="District heating areas settings.",
+    )
+
+
+class _ResidentialHeatDsmConfig(BaseModel):
+    """Configuration for `sector.residential_heat.dsm` settings."""
+
+    enable: bool = Field(
+        False,
+        description="Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage.",
+    )
+    direction: list[str] = Field(
+        default_factory=lambda: ["overheat", "undercool"],
+        description="'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again.",
+    )
+    restriction_value: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.06,
+            2025: 0.16,
+            2030: 0.27,
+            2035: 0.36,
+            2040: 0.38,
+            2045: 0.39,
+            2050: 0.4,
+        },
+        description="Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility.",
+    )
+    restriction_time: list[int] = Field(
+        default_factory=lambda: [10, 22],
+        description="Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm.",
+    )
+
+
+class _ResidentialHeatConfig(BaseModel):
+    """Configuration for `sector.residential_heat` settings."""
+
+    dsm: _ResidentialHeatDsmConfig = Field(
+        default_factory=_ResidentialHeatDsmConfig,
+        description="Configuration options for residential heat demand-side management (DSM). See `smartEn DSM study <https://smarten.eu/wp-content/uploads/2022/09/SmartEn-DSF-benefits-2030-Report_DIGITAL.pdf>`_ (Appendix A) for methodology.",
+    )
+
+
+class _RetrofittingConfig(BaseModel):
+    """Configuration for `sector.retrofitting` settings."""
+
+    retro_endogen: bool = Field(
+        False,
+        description="Add retrofitting as an endogenous system which co-optimise space heat savings.",
+    )
+    cost_factor: float = Field(1.0, description="Weight costs for building renovation.")
+    interest_rate: float = Field(
+        0.04, description="The interest rate for investment in building components."
+    )
+    annualise_cost: bool = Field(
+        True, description="Annualise the investment costs of retrofitting."
+    )
+    tax_weighting: bool = Field(
+        False,
+        description="Weight the costs of retrofitting depending on taxes in countries.",
+    )
+    construction_index: bool = Field(
+        True,
+        description="Weight the costs of retrofitting depending on labour/material costs per country.",
+    )
+
+
+class _CHPConfig(BaseModel):
+    """Configuration for `sector.chp` settings."""
+
+    enable: bool = Field(
+        True, description="Add option for using Combined Heat and Power (CHP)."
+    )
+    fuel: list[str] = Field(
+        default_factory=lambda: ["solid biomass", "gas"],
+        description='Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are "gas", "oil", "methanol", "lignite", "coal" as well as "solid biomass". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added.',
+    )
+    micro_chp: bool = Field(
+        False,
+        description="Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas.",
+    )
+
+
+class _MethanolConfig(BaseModel):
+    """Configuration for `sector.methanol` settings."""
+
+    regional_methanol_demand: bool = Field(
+        False,
+        description="Spatially resolve methanol demand. Set to true if regional CO2 constraints needed.",
+    )
+    methanol_reforming: bool = Field(False, description="Add methanol reforming.")
+    methanol_reforming_cc: bool = Field(
+        False, description="Add methanol reforming with carbon capture."
+    )
+    methanol_to_kerosene: bool = Field(False, description="Add methanol to kerosene.")
+    methanol_to_power: dict[str, bool] = Field(
+        default_factory=lambda: {
+            "ccgt": False,
+            "ccgt_cc": False,
+            "ocgt": True,
+            "allam": False,
+        },
+        description="Add different methanol to power technologies.",
+    )
+    biomass_to_methanol: bool = Field(True, description="Add biomass to methanol.")
+    biomass_to_methanol_cc: bool = Field(
+        False, description="Add biomass to methanol with carbon capture."
+    )
+
+
+class _TransmissionEfficiencyConfig(BaseModel):
+    """Configuration for `sector.transmission_efficiency` settings."""
+
+    enable: list[str] = Field(
+        default_factory=lambda: [
+            "DC",
+            "H2 pipeline",
+            "gas pipeline",
+            "electricity distribution grid",
+        ],
+        description="Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission.",
+    )
+    DC: dict[str, float] = Field(
+        default_factory=lambda: {
+            "efficiency_static": 0.98,
+            "efficiency_per_1000km": 0.977,
+        },
+        description="DC transmission efficiency.",
+    )
+    H2_pipeline: dict[str, float] = Field(
+        default_factory=lambda: {
+            "efficiency_per_1000km": 1,
+            "compression_per_1000km": 0.018,
+        },
+        alias="H2 pipeline",
+        description="H2 pipeline transmission efficiency.",
+    )
+    gas_pipeline: dict[str, float] = Field(
+        default_factory=lambda: {
+            "efficiency_per_1000km": 1,
+            "compression_per_1000km": 0.01,
+        },
+        alias="gas pipeline",
+        description="Gas pipeline transmission efficiency.",
+    )
+    electricity_distribution_grid: dict[str, float] = Field(
+        default_factory=lambda: {"efficiency_static": 0.97},
+        alias="electricity distribution grid",
+        description="Electricity distribution grid efficiency.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class _LimitMaxGrowthConfig(BaseModel):
+    """Configuration for `sector.limit_max_growth` settings."""
+
+    enable: bool = Field(
+        False, description="Add option to limit the maximum growth of a carrier."
+    )
+    factor: float = Field(
+        1.3,
+        description="The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth).",
+    )
+    max_growth: dict[str, float] = Field(
+        default_factory=lambda: {
+            "onwind": 16,
+            "solar": 28,
+            "offwind-ac": 35,
+            "offwind-dc": 35,
+        },
+        description="The historic maximum growth of a carrier.",
+    )
+    max_relative_growth: dict[str, float] = Field(
+        default_factory=lambda: {
+            "onwind": 3,
+            "solar": 3,
+            "offwind-ac": 3,
+            "offwind-dc": 3,
+        },
+        description="The historic maximum relative growth of a carrier.",
+    )
+
+
+class _EnhancedGeothermalConfig(BaseModel):
+    """Configuration for `sector.enhanced_geothermal` settings."""
+
+    enable: bool = Field(
+        False, description="Add option to include Enhanced Geothermal Systems."
+    )
+    flexible: bool = Field(
+        True, description="Add option for flexible operation (see Ricks et al. 2024)."
+    )
+    max_hours: int = Field(
+        240,
+        description="The maximum hours the reservoir can be charged under flexible operation.",
+    )
+    max_boost: float = Field(
+        0.25, description="The maximum boost in power output under flexible operation."
+    )
+    var_cf: bool = Field(
+        True,
+        description="Add option for variable capacity factor (see Ricks et al. 2024).",
+    )
+    sustainability_factor: float = Field(
+        0.0025,
+        description="Share of sourced heat that is replenished by the earth's core (see details in `build_egs_potentials.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py>`_).",
+    )
+
+
+class _SolidBiomassImportConfig(BaseModel):
+    """Configuration for `sector.solid_biomass_import` settings."""
+
+    enable: bool = Field(
+        False, description="Add option to include solid biomass imports."
+    )
+    price: float = Field(
+        54, description="Price for importing solid biomass (currency/MWh)."
+    )
+    max_amount: float = Field(
+        1390, description="Maximum solid biomass import potential (TWh)."
+    )
+    upstream_emissions_factor: float = Field(
+        0.1, description="Upstream emissions of solid biomass imports."
+    )
+
+
+class _ImportsConfig(BaseModel):
+    """Configuration for `sector.imports` settings."""
+
+    enable: bool = Field(
+        False, description="Add option to include renewable energy imports."
+    )
+    limit: float = Field(
+        float("inf"), description="Maximum allowed renewable energy imports (TWh)."
+    )
+    limit_sense: str = Field("<=", description="Sense of the limit.")
+    price: dict[str, float] = Field(
+        default_factory=lambda: {
+            "H2": 74,
+            "NH3": 97,
+            "methanol": 121,
+            "gas": 122,
+            "oil": 125,
+        },
+        description="Price for importing renewable energy of carrier.",
+    )
+
+
+class SectorConfig(BaseModel):
+    """Configuration for `sector` settings."""
+
+    transport: bool = Field(True, description="Flag to include transport sector.")
+    heating: bool = Field(True, description="Flag to include heating sector.")
+    biomass: bool = Field(True, description="Flag to include biomass sector.")
+    industry: bool = Field(True, description="Flag to include industry sector.")
+    shipping: bool = Field(True, description="Flag to include shipping sector.")
+    aviation: bool = Field(True, description="Flag to include aviation sector.")
+    agriculture: bool = Field(True, description="Flag to include agriculture sector.")
+    fossil_fuels: bool = Field(
+        True, description="Flag to include imports of fossil fuels."
+    )
+
+    district_heating: _DistrictHeatingConfig = Field(
+        default_factory=_DistrictHeatingConfig,
+        description="District heating configuration.",
+    )
+
+    heat_pump_sources: dict[str, list[str]] = Field(
+        default_factory=lambda: {
+            "urban central": ["air"],
+            "urban decentral": ["air"],
+            "rural": ["air", "ground"],
+        },
+        description="Heat pump sources by area.",
+    )
+
+    residential_heat: _ResidentialHeatConfig = Field(
+        default_factory=_ResidentialHeatConfig,
+        description="Residential heat configuration.",
+    )
+
+    cluster_heat_buses: bool = Field(
+        True,
+        description="Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_ to one to save memory.",
+    )
+    heat_demand_cutout: str = Field("default", description="Heat demand cutout.")
+
+    # Transport settings
+    bev_dsm_restriction_value: float = Field(
+        0.8,
+        description="Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM.",
+    )
+    bev_dsm_restriction_time: float = Field(
+        7, description="Time at which SOC of BEV has to be dsm_restriction_value."
+    )
+    transport_heating_deadband_upper: float = Field(
+        20.0,
+        description="The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases.",
+    )
+    transport_heating_deadband_lower: float = Field(
+        15.0,
+        description="The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases.",
+    )
+    ICE_lower_degree_factor: float = Field(
+        0.375,
+        description="Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.",
+    )
+    ICE_upper_degree_factor: float = Field(
+        1.6,
+        description="Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.",
+    )
+    EV_lower_degree_factor: float = Field(
+        0.98,
+        description="Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.",
+    )
+    EV_upper_degree_factor: float = Field(
+        0.63,
+        description="Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.",
+    )
+    bev_dsm: bool = Field(
+        True,
+        description="Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM).",
+    )
+    bev_dsm_availability: float = Field(
+        0.5,
+        description="The share for battery electric vehicles (BEV) that are able to do demand side management (DSM).",
+    )
+    bev_energy: float = Field(
+        0.05, description="The average size of battery electric vehicles (BEV) in MWh."
+    )
+    bev_charge_efficiency: float = Field(
+        0.9,
+        description="Battery electric vehicles (BEV) charge and discharge efficiency.",
+    )
+    bev_charge_rate: float = Field(
+        0.011,
+        description="The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.",
+    )
+    bev_avail_max: float = Field(
+        0.95,
+        description="The maximum share plugged-in availability for passenger electric vehicles.",
+    )
+    bev_avail_mean: float = Field(
+        0.8,
+        description="The average share plugged-in availability for passenger electric vehicles.",
+    )
+    v2g: bool = Field(
+        True,
+        description="Allows feed-in to grid from EV battery. This is only enabled if BEV demand-side management is enabled, and the share of vehicles participating is V2G is given by `bev_dsm_availability`.",
+    )
+
+    land_transport_fuel_cell_share: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0,
+            2030: 0,
+            2035: 0,
+            2040: 0,
+            2045: 0,
+            2050: 0,
+        },
+        description="The share of vehicles that uses fuel cells in a given year.",
+    )
+    land_transport_electric_share: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0.05,
+            2030: 0.2,
+            2035: 0.45,
+            2040: 0.7,
+            2045: 0.85,
+            2050: 1,
+        },
+        description="The share of vehicles that uses electric vehicles (EV) in a given year.",
+    )
+    land_transport_ice_share: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 1,
+            2025: 0.95,
+            2030: 0.8,
+            2035: 0.55,
+            2040: 0.3,
+            2045: 0.15,
+            2050: 0,
+        },
+        description="The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.",
+    )
+
+    transport_electric_efficiency: float = Field(
+        53.19,
+        description="The conversion efficiencies of electric vehicles in transport.",
+    )
+    transport_fuel_cell_efficiency: float = Field(
+        30.003, description="The H2 conversion efficiencies of fuel cells in transport."
+    )
+    transport_ice_efficiency: float = Field(
+        16.0712,
+        description="The oil conversion efficiencies of internal combustion engine (ICE) in transport.",
+    )
+
+    agriculture_machinery_electric_share: float = Field(
+        0.5, description="The share for agricultural machinery that uses electricity."
+    )
+    agriculture_machinery_oil_share: float = Field(
+        0.5, description="The share for agricultural machinery that uses oil."
+    )
+    agriculture_machinery_fuel_efficiency: float = Field(
+        0.7,
+        description="The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.",
+    )
+    agriculture_machinery_electric_efficiency: float = Field(
+        0.3,
+        description="The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.",
+    )
+
+    MWh_MeOH_per_MWh_H2: float = Field(
+        0.8787,
+        description="The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.",
+    )
+    MWh_MeOH_per_tCO2: float = Field(
+        4.0321,
+        description="The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 66.",
+    )
+    MWh_MeOH_per_MWh_e: float = Field(
+        3.6907,
+        description="The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.",
+    )
+
+    shipping_hydrogen_liquefaction: bool = Field(
+        False,
+        description="Whether to include liquefaction costs for hydrogen demand in shipping.",
+    )
+    shipping_hydrogen_share: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0,
+            2030: 0,
+            2035: 0,
+            2040: 0,
+            2045: 0,
+            2050: 0,
+        },
+        description="The share of ships powered by hydrogen in a given year.",
+    )
+    shipping_methanol_share: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0,
+            2030: 0.15,
+            2035: 0.35,
+            2040: 0.55,
+            2045: 0.8,
+            2050: 1,
+        },
+        description="The share of ships powered by methanol in a given year.",
+    )
+    shipping_oil_share: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 1,
+            2025: 1,
+            2030: 0.85,
+            2035: 0.65,
+            2040: 0.45,
+            2045: 0.2,
+            2050: 0,
+        },
+        description="The share of ships powered by oil in a given year.",
+    )
+    shipping_methanol_efficiency: float = Field(
+        0.46,
+        description="The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_.",
+    )
+    shipping_oil_efficiency: float = Field(
+        0.40,
+        description="The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011.",
+    )
+
+    aviation_demand_factor: float = Field(
+        1.0,
+        description="The proportion of demand for aviation compared to today's consumption.",
+    )
+    HVC_demand_factor: float = Field(
+        1.0,
+        description="The proportion of demand for high-value chemicals compared to today's consumption.",
+    )
+
+    time_dep_hp_cop: bool = Field(
+        True,
+        description="Consider the time dependent coefficient of performance (COP) of the heat pump.",
+    )
+    heat_pump_sink_T_individual_heating: float = Field(
+        55.0,
+        description="The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings.",
+    )
+
+    reduce_space_heat_exogenously: bool = Field(
+        True,
+        description="Influence on space heating demand by a certain factor (applied before losses in district heating).",
+    )
+    reduce_space_heat_exogenously_factor: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0.10,
+            2025: 0.09,
+            2030: 0.09,
+            2035: 0.11,
+            2040: 0.16,
+            2045: 0.21,
+            2050: 0.29,
+        },
+        description="A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_.",
+    )
+
+    retrofitting: _RetrofittingConfig = Field(
+        default_factory=_RetrofittingConfig, description="Retrofitting configuration."
+    )
+
+    tes: bool = Field(
+        True,
+        description="Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES).",
+    )
+    boilers: bool = Field(
+        True, description="Add option for transforming gas into heat using gas boilers."
+    )
+    resistive_heaters: bool = Field(
+        True,
+        description="Add option for transforming electricity into heat using resistive heaters (independently from gas boilers).",
+    )
+    oil_boilers: bool = Field(
+        False, description="Add option for transforming oil into heat using boilers."
+    )
+    biomass_boiler: bool = Field(
+        True, description="Add option for transforming biomass into heat using boilers."
+    )
+    overdimension_heat_generators: dict[str, float] = Field(
+        default_factory=lambda: {"decentral": 1.1, "central": 1.0},
+        description="Add option for overdimensioning heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1.",
+    )
+
+    chp: _CHPConfig = Field(
+        default_factory=_CHPConfig, description="CHP configuration."
+    )
+    solar_thermal: bool = Field(
+        True, description="Add option for using solar thermal to generate heat."
+    )
+    solar_cf_correction: float = Field(
+        0.788457,
+        description="The correction factor for the value provided by the solar thermal profile calculations.",
+    )
+
+    methanation: bool = Field(
+        True,
+        description="Add option for transforming hydrogen and CO2 into methane using methanation.",
+    )
+    coal_cc: bool = Field(
+        False, description="Add option for coal CHPs with carbon capture."
+    )
+    dac: bool = Field(True, description="Add option for Direct Air Capture (DAC).")
+    co2_vent: bool = Field(
+        False,
+        description="Add option for vent out CO2 from storages to the atmosphere.",
+    )
+    heat_vent: dict[str, bool] = Field(
+        default_factory=lambda: {
+            "urban central": True,
+            "urban decentral": True,
+            "rural": True,
+        },
+        description="Heat venting by area.",
+    )
+    marginal_cost_heat_vent: float = Field(
+        0.02, description="The marginal cost of heat-venting in all heating systems."
+    )
+
+    allam_cycle_gas: bool = Field(
+        False,
+        description="Add option to include `Allam cycle gas power plants <https://en.wikipedia.org/wiki/Allam_power_cycle>`_.",
+    )
+    hydrogen_fuel_cell: bool = Field(
+        True,
+        description="Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs.",
+    )
+    hydrogen_turbine: bool = Field(
+        True,
+        description="Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs.",
+    )
+    SMR: bool = Field(
+        True,
+        description="Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR).",
+    )
+    SMR_cc: bool = Field(
+        True,
+        description="Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR) and Carbon Capture (CC).",
+    )
+
+    regional_oil_demand: bool = Field(
+        True,
+        description="Spatially resolve oil demand. Set to true if regional CO2 constraints needed.",
+    )
+    regional_coal_demand: bool = Field(False, description="Regional coal demand.")
+
+    regional_co2_sequestration_potential: dict[str, Any] = Field(
+        default_factory=lambda: {
+            "enable": True,
+            "attribute": [
+                "conservative estimate Mt",
+                "conservative estimate GAS Mt",
+                "conservative estimate OIL Mt",
+                "conservative estimate aquifer Mt",
+            ],
+            "include_onshore": False,
+            "min_size": 3,
+            "max_size": 25,
+            "years_of_storage": 25,
+        },
+        description="Add option for regionally-resolved geological carbon dioxide sequestration potentials based on `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`_.",
+    )
+    co2_sequestration_potential: dict[int, float] = Field(
+        default_factory=lambda: {
+            2020: 0,
+            2025: 0,
+            2030: 40,
+            2035: 100,
+            2040: 180,
+            2045: 250,
+            2050: 250,
+        },
+        description="The potential of sequestering CO2 in Europe per year and investment period.",
+    )
+    co2_sequestration_cost: float = Field(
+        30, description="The cost of sequestering a ton of CO2 (currency/tCO2)."
+    )
+    co2_sequestration_lifetime: int = Field(
+        50, description="The lifetime of a CO2 sequestration site (years)."
+    )
+    co2_spatial: bool = Field(
+        True,
+        description="Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites.",
+    )
+    co2_network: bool = Field(
+        True,
+        description="Add option for planning a new carbon dioxide transmission network.",
+    )
+    co2_network_cost_factor: float = Field(
+        1,
+        description="The cost factor for the capital cost of the carbon dioxide transmission network.",
+    )
+    cc_fraction: float = Field(
+        0.9,
+        description="The default fraction of CO2 captured with post-combustion capture.",
+    )
+
+    hydrogen_underground_storage: bool = Field(
+        True,
+        description="Add options for storing hydrogen underground. Storage potential depends regionally.",
+    )
+    hydrogen_underground_storage_locations: list[str] = Field(
+        default_factory=lambda: ["onshore", "nearshore"],
+        description="The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively.",
+    )
+
+    methanol: _MethanolConfig = Field(
+        default_factory=_MethanolConfig, description="Methanol configuration."
+    )
+
+    ammonia: bool | str = Field(
+        True,
+        description='Add ammonia as a carrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network).',
+    )
+    min_part_load_electrolysis: float = Field(
+        0, description="The minimum unit dispatch (`p_min_pu`) for electrolysis."
+    )
+    min_part_load_fischer_tropsch: float = Field(
+        0.5,
+        description="The minimum unit dispatch (`p_min_pu`) for the Fischer-Tropsch process.",
+    )
+    min_part_load_methanolisation: float = Field(
+        0.3,
+        description="The minimum unit dispatch (`p_min_pu`) for the methanolisation process.",
+    )
+    min_part_load_methanation: float = Field(
+        0.3, description="Minimum part load methanation."
+    )
+
+    use_fischer_tropsch_waste_heat: float = Field(
+        0.25,
+        description="Add option for using waste heat of Fischer Tropsch in district heating networks.",
+    )
+    use_haber_bosch_waste_heat: float = Field(
+        0.25, description="Use Haber-Bosch waste heat."
+    )
+    use_methanolisation_waste_heat: float = Field(
+        0.25, description="Use methanolisation waste heat."
+    )
+    use_methanation_waste_heat: float = Field(
+        0.25, description="Use methanation waste heat."
+    )
+    use_fuel_cell_waste_heat: float = Field(
+        1,
+        description="Add option for using waste heat of fuel cells in district heating networks.",
+    )
+    use_electrolysis_waste_heat: float = Field(
+        0.25,
+        description="Add option for using waste heat of electrolysis in district heating networks.",
+    )
+
+    electricity_transmission_grid: bool = Field(
+        True,
+        description="Switch for enabling/disabling the electricity transmission grid.",
+    )
+    electricity_distribution_grid: bool = Field(
+        True,
+        description="Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.",
+    )
+    electricity_distribution_grid_cost_factor: float = Field(
+        1.0,
+        description="Multiplies the investment cost of the electricity distribution grid.",
+    )
+    electricity_grid_connection: bool = Field(
+        True,
+        description="Add the cost of electricity grid connection for onshore wind and solar.",
+    )
+
+    transmission_efficiency: _TransmissionEfficiencyConfig = Field(
+        default_factory=_TransmissionEfficiencyConfig,
+        description="Transmission efficiency configuration.",
+    )
+
+    H2_network: bool = Field(True, description="Add option for new hydrogen pipelines.")
+    gas_network: bool = Field(
+        True,
+        description="Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well.",
+    )
+    H2_retrofit: bool = Field(
+        False,
+        description="Add option for retrofiting existing pipelines to transport hydrogen.",
+    )
+    H2_retrofit_capacity_per_CH4: float = Field(
+        0.6,
+        description="The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.",
+    )
+    gas_network_connectivity_upgrade: float = Field(
+        1,
+        description="The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network.",
+    )
+    gas_distribution_grid: bool = Field(
+        True, description="Add a gas distribution grid."
+    )
+    gas_distribution_grid_cost_factor: float = Field(
+        1.0,
+        description="Multiplier for the investment cost of the gas distribution grid.",
+    )
+
+    biomass_spatial: bool = Field(
+        True, description="Add option for resolving biomass demand regionally."
+    )
+    biomass_transport: bool = Field(
+        False, description="Add option for transporting solid biomass between nodes."
+    )
+    biogas_upgrading: bool = Field(True, description="Biogas upgrading.")
+    biogas_upgrading_cc: bool = Field(
+        False, description="Add option to capture CO2 from biomass upgrading."
+    )
+
+    conventional_generation: dict[str, str] = Field(
+        default_factory=lambda: {"OCGT": "gas", "CCGT": "gas"},
+        description="Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.",
+    )
+
+    biomass_to_liquid: bool = Field(
+        True,
+        description="Add option for transforming solid biomass into liquid fuel with the same properties as oil.",
+    )
+    biomass_to_liquid_cc: bool = Field(
+        False,
+        description="Add option for transforming solid biomass into liquid fuel with the same properties as oil with carbon capture.",
+    )
+    electrobiofuels: bool = Field(True, description="Electrobiofuels.")
+    biosng: bool = Field(
+        False,
+        description="Add option for transforming solid biomass into synthesis gas with the same properties as natural gas.",
+    )
+    biosng_cc: bool = Field(
+        False,
+        description="Add option for transforming solid biomass into synthesis gas with the same properties as natural gas with carbon capture.",
+    )
+    bioH2: bool = Field(
+        False,
+        description="Add option for transforming solid biomass into hydrogen with carbon capture.",
+    )
+    municipal_solid_waste: bool = Field(
+        False, description="Add option for municipal solid waste."
+    )
+
+    limit_max_growth: _LimitMaxGrowthConfig = Field(
+        default_factory=_LimitMaxGrowthConfig,
+        description="Limit max growth configuration.",
+    )
+    enhanced_geothermal: _EnhancedGeothermalConfig = Field(
+        default_factory=_EnhancedGeothermalConfig,
+        description="Enhanced geothermal configuration.",
+    )
+    solid_biomass_import: _SolidBiomassImportConfig = Field(
+        default_factory=_SolidBiomassImportConfig,
+        description="Solid biomass import configuration.",
+    )
+    imports: _ImportsConfig = Field(
+        default_factory=_ImportsConfig, description="Imports configuration."
+    )
diff --git a/scripts/lib/validation/config/snapshots.py b/scripts/lib/validation/config/snapshots.py
new file mode 100644
index 000000000..0932b2f36
--- /dev/null
+++ b/scripts/lib/validation/config/snapshots.py
@@ -0,0 +1,32 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Snapshots configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#snapshots
+"""
+
+from typing import Literal
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class SnapshotsConfig(ConfigModel):
+    """Configuration for `snapshots` settings."""
+
+    start: str | list[str] = Field(
+        "2013-01-01",
+        description="Left bound of date range.",
+    )
+    end: str | list[str] = Field(
+        "2014-01-01",
+        description="Right bound of date range.",
+    )
+    inclusive: Literal["left", "right", "both"] | None = Field(
+        "left",
+        description="Make the time interval closed to the `left`, `right`, or both sides `both` or neither side `None`.",
+    )
diff --git a/scripts/lib/validation/config/solar_thermal.py b/scripts/lib/validation/config/solar_thermal.py
new file mode 100644
index 000000000..fdb9026f4
--- /dev/null
+++ b/scripts/lib/validation/config/solar_thermal.py
@@ -0,0 +1,45 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Solar thermal configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solar-thermal
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _OrientationConfig(ConfigModel):
+    """Configuration for `solar_thermal.orientation` settings."""
+
+    slope: float = Field(
+        45.0,
+        description="The angle between the ground and the panels.",
+    )
+    azimuth: float = Field(
+        180.0,
+        description="The angle between the North and the sun with panels on the local horizon.",
+    )
+
+
+class SolarThermalConfig(BaseModel):
+    """Configuration for `solar_thermal` settings."""
+
+    clearsky_model: Literal["simple", "enhanced"] = Field(
+        "simple",
+        description="Type of clearsky model for diffuse irradiation.",
+    )
+    orientation: _OrientationConfig = Field(
+        default_factory=_OrientationConfig,
+        description="Panel orientation with slope and azimuth.",
+    )
+    cutout: str = Field(
+        "default",
+        description="Name of the cutout to use for solar thermal calculations.",
+    )
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
new file mode 100644
index 000000000..a5af982ea
--- /dev/null
+++ b/scripts/lib/validation/config/solving.py
@@ -0,0 +1,336 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Solving configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solving
+"""
+
+from typing import Any
+
+from pydantic import BaseModel, Field, field_validator
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _PostDiscretizationConfig(ConfigModel):
+    """Configuration for `solving.options.post_discretization` settings."""
+
+    enable: bool = Field(
+        False,
+        description="Switch to enable post-discretization of the network. Disabled by default.",
+    )
+    line_unit_size: float = Field(
+        1700, description="Discrete unit size of lines in MW."
+    )
+    line_threshold: float = Field(
+        0.3,
+        description="The threshold relative to the discrete line unit size beyond which to round up to the next unit.",
+    )
+    link_unit_size: dict[str, float] = Field(
+        default_factory=lambda: {"DC": 2000, "H2 pipeline": 1200, "gas pipeline": 1500},
+        description="Discrete unit size of links in MW by carrier (given in dictionary style).",
+    )
+    link_threshold: dict[str, float] = Field(
+        default_factory=lambda: {"DC": 0.3, "H2 pipeline": 0.3, "gas pipeline": 0.3},
+        description="The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style).",
+    )
+    fractional_last_unit_size: bool = Field(
+        False,
+        description="When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size.",
+    )
+
+
+class _ModelKwargsConfig(BaseModel):
+    """Configuration for `solving.options.model_kwargs` settings."""
+
+    solver_dir: str = Field(
+        "", description="Absolute path to the directory where linopy saves files."
+    )
+
+
+class _SolvingOptionsConfig(BaseModel):
+    """Configuration for `solving.options` settings."""
+
+    clip_p_max_pu: float = Field(
+        0.01,
+        description="To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
+    )
+    load_shedding: bool | float = Field(
+        False,
+        description="Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh.",
+    )
+    curtailment_mode: bool = Field(
+        False,
+        description="Fixes the dispatch profiles of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to `false`.",
+    )
+    noisy_costs: bool = Field(
+        True,
+        description="Add random noise to marginal cost of generators by :math:`\\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\\mathcal{U}(0.09,0,11)`.",
+    )
+    skip_iterations: bool = Field(
+        True,
+        description="Skip iterating, do not update impedances of branches. Defaults to true.",
+    )
+    rolling_horizon: bool = Field(
+        False,
+        description="Switch for rule `solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks.",
+    )
+    seed: int = Field(
+        123, description="Random seed for increased deterministic behaviour."
+    )
+    custom_extra_functionality: str | None = Field(
+        "../data/custom_extra_functionality.py",
+        description="Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to `rules` directory.",
+    )
+    io_api: str | None = Field(
+        None,
+        description="Passed to linopy and determines the API used to communicate with the solver. With the `'lp'` and `'mps'` options linopy passes a file to the solver; with the `'direct'` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance.",
+    )
+    track_iterations: bool = Field(
+        False,
+        description="Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in `network.lines['s_nom_opt_X']` (where `X` labels the iteration)",
+    )
+    min_iterations: int = Field(
+        2,
+        description="Minimum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+    )
+    max_iterations: int = Field(
+        3,
+        description="Maximum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run.",
+    )
+    transmission_losses: int = Field(
+        2,
+        description="Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored.",
+    )
+    linearized_unit_commitment: bool = Field(
+        True,
+        description="Whether to optimise using the linearized unit commitment formulation.",
+    )
+    horizon: int = Field(
+        365,
+        description="Number of snapshots to consider in each iteration. Defaults to 100.",
+    )
+    post_discretization: _PostDiscretizationConfig = Field(
+        default_factory=_PostDiscretizationConfig,
+        description="Post-discretization settings.",
+    )
+    keep_files: bool = Field(
+        False, description="Whether to keep LPs and MPS files after solving."
+    )
+    model_kwargs: _ModelKwargsConfig = Field(
+        default_factory=_ModelKwargsConfig, description="Model kwargs for linopy."
+    )
+
+
+class _AggPNomLimitsConfig(BaseModel):
+    """Configuration for `solving.agg_p_nom_limits` settings."""
+
+    agg_offwind: bool = Field(
+        False,
+        description="Aggregate together all the types of offwind when writing the constraint (`offwind-all` as a carrier in the `.csv` file). Default is false.",
+    )
+    agg_solar: bool = Field(
+        False,
+        description="Aggregate together all the types of electric solar when writing the constraint (`solar-all` as a carrier in the `.csv` file). Default is false.",
+    )
+    include_existing: bool = Field(
+        False,
+        description="Take existing capacities into account when writing the constraint. Default is false.",
+    )
+    file: str = Field(
+        "data/agg_p_nom_minmax.csv",
+        description="Reference to `.csv` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to `data/agg_p_nom_minmax.csv`.",
+    )
+
+
+class _ConstraintsConfig(BaseModel):
+    """Configuration for `solving.constraints` settings."""
+
+    CCL: bool = Field(
+        False,
+        description="Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at `electricity: agg_p_nom_limits` in the configuration. File defaults to `data/agg_p_nom_minmax.csv`. Does not work with a time resolution resampling.",
+    )
+    EQ: bool | str = Field(
+        False,
+        description="Require each country or node to on average produce a minimal share of its total consumption itself. Example: `EQ0.5c` demands each country to produce on average at least 50% of its consumption; `EQ0.5` demands each node to produce on average at least 50% of its consumption.",
+    )
+    BAU: bool = Field(
+        False,
+        description="Add a per-`carrier` minimal overall capacity; i.e. at least `40GW` of `OCGT` in Europe; configured in `electricity: BAU_mincapacities`",
+    )
+    SAFE: bool = Field(
+        False,
+        description="Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network.",
+    )
+
+
+class _SolverConfig(BaseModel):
+    """Configuration for `solving.solver` settings."""
+
+    name: str = Field(
+        "gurobi",
+        description="Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow.",
+    )
+    options: str = Field(
+        "gurobi-default", description="Link to specific parameter settings."
+    )
+
+
+class _CheckObjectiveConfig(BaseModel):
+    """Configuration for `solving.check_objective` settings."""
+
+    enable: bool = Field(False, description="Enable objective value checking.")
+    expected_value: float | None = Field(None, description="Expected objective value.")
+    atol: float = Field(1_000_000, description="Absolute tolerance.")
+    rtol: float = Field(0.01, description="Relative tolerance.")
+
+    @field_validator("expected_value", mode="before")
+    @classmethod
+    def parse_none_string(cls, v):
+        if v == "None" or v is None:
+            return None
+        return v
+
+
+class _OETCConfig(BaseModel):
+    """Configuration for `solving.oetc` settings (Open Energy Transition Computing cluster support)."""
+
+    name: str = Field(
+        "pypsa-eur",
+        description="Name identifier for the OETC job.",
+    )
+    authentication_server_url: str = Field(
+        "",
+        description="URL of the OETC authentication server for job submission.",
+    )
+    orchestrator_server_url: str = Field(
+        "",
+        description="URL of the OETC orchestrator server for job management.",
+    )
+    cpu_cores: int = Field(
+        8,
+        description="Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8)",
+    )
+    disk_space_gb: int = Field(
+        50,
+        description="Amount of disk space in gigabytes to request for the OETC job.",
+    )
+    delete_worker_on_error: bool = Field(
+        True,
+        description="Whether to delete the worker instance when an error occurs during job execution.",
+    )
+
+
+class SolvingConfig(BaseModel):
+    """Configuration for `solving` settings."""
+
+    options: _SolvingOptionsConfig = Field(
+        default_factory=_SolvingOptionsConfig, description="Solving options."
+    )
+    agg_p_nom_limits: _AggPNomLimitsConfig = Field(
+        default_factory=_AggPNomLimitsConfig,
+        description="Aggregate p_nom limits configuration.",
+    )
+    constraints: _ConstraintsConfig = Field(
+        default_factory=_ConstraintsConfig, description="Constraints configuration."
+    )
+    solver: _SolverConfig = Field(
+        default_factory=_SolverConfig, description="Solver configuration."
+    )
+    solver_options: dict[str, dict[str, Any]] = Field(
+        default_factory=lambda: {
+            "highs-default": {
+                "threads": 1,
+                "solver": "ipm",
+                "run_crossover": "off",
+                "small_matrix_value": 1e-6,
+                "large_matrix_value": 1e9,
+                "primal_feasibility_tolerance": 1e-5,
+                "dual_feasibility_tolerance": 1e-5,
+                "ipm_optimality_tolerance": 1e-4,
+                "parallel": "on",
+                "random_seed": 123,
+            },
+            "highs-simplex": {
+                "solver": "simplex",
+                "parallel": "on",
+                "primal_feasibility_tolerance": 1e-5,
+                "dual_feasibility_tolerance": 1e-5,
+                "random_seed": 123,
+            },
+            "gurobi-default": {
+                "threads": 32,
+                "method": 2,
+                "crossover": 0,
+                "BarConvTol": 1e-5,
+                "Seed": 123,
+                "AggFill": 0,
+                "PreDual": 0,
+                "GURO_PAR_BARDENSETHRESH": 200,
+            },
+            "gurobi-numeric-focus": {
+                "NumericFocus": 3,
+                "method": 2,
+                "crossover": 0,
+                "BarHomogeneous": 1,
+                "BarConvTol": 1e-5,
+                "FeasibilityTol": 1e-4,
+                "OptimalityTol": 1e-4,
+                "ObjScale": -0.5,
+                "threads": 8,
+                "Seed": 123,
+            },
+            "gurobi-fallback": {
+                "crossover": 0,
+                "method": 2,
+                "BarHomogeneous": 1,
+                "BarConvTol": 1e-5,
+                "FeasibilityTol": 1e-5,
+                "OptimalityTol": 1e-5,
+                "Seed": 123,
+                "threads": 8,
+            },
+            "cplex-default": {
+                "threads": 4,
+                "lpmethod": 4,
+                "solutiontype": 2,
+                "barrier.convergetol": 1e-5,
+                "feasopt.tolerance": 1e-6,
+            },
+            "copt-default": {
+                "Threads": 8,
+                "LpMethod": 2,
+                "Crossover": 0,
+                "RelGap": 1e-6,
+                "Dualize": 0,
+            },
+            "copt-gpu": {
+                "LpMethod": 6,
+                "GPUMode": 1,
+                "PDLPTol": 1e-5,
+                "Crossover": 0,
+            },
+            "cbc-default": {},
+            "glpk-default": {},
+        },
+        description="Dictionaries with solver-specific parameter settings.",
+    )
+    check_objective: _CheckObjectiveConfig = Field(
+        default_factory=_CheckObjectiveConfig,
+        description="Objective checking configuration.",
+    )
+    oetc: _OETCConfig | None = Field(
+        None,
+        description="Configuration options for Open Energy Transition Computing (OETC) cluster support.",
+    )
+    mem_mb: int = Field(
+        128000,
+        description="Estimated maximum memory requirement for solving networks (MB).",
+    )
+    memory_logging_frequency: int = Field(
+        5, description="Interval in seconds at which memory usage is logged."
+    )
+    runtime: str = Field("48h", description="Runtime in humanfriendly style.")
diff --git a/scripts/lib/validation/config/transformers.py b/scripts/lib/validation/config/transformers.py
new file mode 100644
index 000000000..207981250
--- /dev/null
+++ b/scripts/lib/validation/config/transformers.py
@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Transformers configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#transformers
+"""
+
+from pydantic import Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class TransformersConfig(ConfigModel):
+    """Configuration for `transformers` settings."""
+
+    x: float = Field(
+        0.1,
+        description="Series reactance in per unit (p.u.), using `s_nom` as base power of the transformer. Overwritten if `type` is specified.",
+    )
+    s_nom: float = Field(
+        2000.0,
+        description="Limit of apparent power which can pass through branch (MVA). Overwritten if `type` is specified.",
+    )
+    type: str = Field(
+        "",
+        description="Specifies transformer types to assume for the transformers of the ENTSO-E grid extraction.",
+    )
diff --git a/scripts/lib/validation/config/transmission_projects.py b/scripts/lib/validation/config/transmission_projects.py
new file mode 100644
index 000000000..e48a790a9
--- /dev/null
+++ b/scripts/lib/validation/config/transmission_projects.py
@@ -0,0 +1,57 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""
+Transmission projects configuration.
+
+See docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#transmission-projects
+"""
+
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigModel
+
+
+class _IncludeConfig(ConfigModel):
+    """Configuration for `transmission_projects.include` settings."""
+
+    tyndp2020: bool = Field(
+        True,
+        description="Whether to integrate the TYNDP 2020 dataset.",
+    )
+    nep: bool = Field(
+        True,
+        description="Whether to integrate the German network development plan dataset.",
+    )
+    manual: bool = Field(
+        True,
+        description="Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file.",
+    )
+
+
+class TransmissionProjectsConfig(BaseModel):
+    """Configuration for `transmission_projects` settings."""
+
+    enable: bool = Field(
+        True,
+        description="Whether to integrate this transmission projects or not.",
+    )
+    include: _IncludeConfig = Field(
+        default_factory=_IncludeConfig,
+        description="Name of the transmission projects. They should be unique and have to be provided in the `data/transmission_projects` folder.",
+    )
+    skip: list[str] = Field(
+        default_factory=lambda: ["upgraded_lines", "upgraded_links"],
+        description="Type of lines to skip from all transmission projects. Possible values are: `upgraded_lines`, `upgraded_links`, `new_lines`, `new_links`.",
+    )
+    status: list[str] | dict[str, list[str]] = Field(
+        default_factory=lambda: ["under_construction", "in_permitting", "confirmed"],
+        description="Status to include into the model as list or as dict with name of project and status to include. Possible values for status are `under_construction`, `in_permitting`, `confirmed`, `planned_not_yet_permitted`, `under_consideration`.",
+    )
+    new_link_capacity: Literal["zero", "keep"] = Field(
+        "zero",
+        description="Whether to set the new link capacity to the provided capacity or set it to zero.",
+    )
diff --git a/scripts/prepare_network.py b/scripts/prepare_network.py
index 50f149eb3..9555a6e24 100755
--- a/scripts/prepare_network.py
+++ b/scripts/prepare_network.py
@@ -4,7 +4,7 @@
 
 
 """
-Prepare PyPSA network for solving according to :ref:`opts` and :ref:`ll`, such
+Prepare PyPSA network for solving according to :ref:`opts`, such
 as.
 
 - adding an annual **limit** of carbon-dioxide emissions,
diff --git a/test/test_config_schema.py b/test/test_config_schema.py
new file mode 100644
index 000000000..0fd1b4334
--- /dev/null
+++ b/test/test_config_schema.py
@@ -0,0 +1,72 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+"""Tests for config schema synchronization."""
+
+import difflib
+import tempfile
+from pathlib import Path
+
+import pytest
+
+from scripts.lib.validation.config import (
+    generate_config_defaults,
+    generate_config_schema,
+)
+
+
+def _check_file_in_sync(existing_path: Path, generate_func, file_type: str):
+    """Check if a file is in sync with the generated content."""
+    assert existing_path.exists(), f"{existing_path} does not exist"
+
+    existing_content = existing_path.read_text()
+
+    with tempfile.NamedTemporaryFile(
+        mode="w", suffix=f".{file_type}", delete=False
+    ) as f:
+        temp_path = f.name
+
+    try:
+        generate_func(temp_path)
+        generated_content = Path(temp_path).read_text()
+    finally:
+        Path(temp_path).unlink(missing_ok=True)
+
+    if existing_content != generated_content:
+        diff = difflib.unified_diff(
+            existing_content.splitlines(keepends=True),
+            generated_content.splitlines(keepends=True),
+            fromfile=f"{existing_path} (existing)",
+            tofile=f"{existing_path} (generated)",
+        )
+        diff_str = "".join(diff)
+        print(f"\n{'=' * 80}")
+        print(f"DIFF: {existing_path}")
+        print("=" * 80)
+        print(diff_str)
+        print("=" * 80)
+        pytest.fail(
+            f"{existing_path} is out of sync with the Pydantic schema. "
+            "Run 'pixi run generate-config' to update. See diff above."
+        )
+
+
+def test_config_default_yaml_in_sync():
+    """Test that config/config.default.yaml is in sync with Pydantic schema."""
+
+    _check_file_in_sync(
+        Path("config/config.default.yaml"),
+        generate_config_defaults,
+        "yaml",
+    )
+
+
+def test_config_schema_json_in_sync():
+    """Test that config/schema.json is in sync with Pydantic schema."""
+
+    _check_file_in_sync(
+        Path("config/schema.json"),
+        generate_config_schema,
+        "json",
+    )

From cd00bb34abe8227c7136c836cc7532c7a37ff9a7 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Thu, 15 Jan 2026 10:39:18 +0100
Subject: [PATCH 11/42] Update lock file workflow to remove push trigger
 (#1975)

---
 .github/workflows/update-lockfile.yaml | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 31d264773..d68c5a248 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -1,8 +1,5 @@
 name: Update locked envs
 on:
-  push:
-    paths:
-    - pixi.toml
   schedule:
   - cron: "0 8 1,16 * *" # Bi-weekly
   workflow_dispatch:

From 857c76b539d27aca765e7a6f0df1d8fb794d73a9 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 15 Jan 2026 14:51:31 +0100
Subject: [PATCH 12/42] chore: fix formatting and improve consistency in data
 layer doc (#1977)

---
 doc/configtables/data.csv |  6 +++---
 doc/data_sources.rst      | 31 ++++++++++++++++++++-----------
 2 files changed, 23 insertions(+), 14 deletions(-)

diff --git a/doc/configtables/data.csv b/doc/configtables/data.csv
index 2f0b07567..6f2f6c818 100644
--- a/doc/configtables/data.csv
+++ b/doc/configtables/data.csv
@@ -130,10 +130,10 @@ cutout,,,
 -- version,str,,"Version of the Cutout data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
 dh_areas,,,
 -- source,str,"{archive, primary}","Source of the District Heating Areas data."
--- version,str,,"Version of the District Heating Areas data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.""
+-- version,str,,"Version of the District Heating Areas data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
 geothermal_heat_utilisation_potentials,,,
 -- source,str,"{archive, primary}","Source of the Geothermal Heat Utilisation Potentials data."
--- version,str,,"Version of the Geothermal Heat Utilisation Potentials"
+-- version,str,,"Version of the Geothermal Heat Utilisation Potentials data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
 jrc_ardeco,,,
 -- source,str,"{archive, primary}","Source of annual regional database for EU regions"
--- version,str,,"Version of the JRC ARDECO dataset"
\ No newline at end of file
+-- version,str,,"Version of the JRC ARDECO data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
diff --git a/doc/data_sources.rst b/doc/data_sources.rst
index 4aae62643..d510cfb4a 100644
--- a/doc/data_sources.rst
+++ b/doc/data_sources.rst
@@ -40,17 +40,21 @@ Here are the steps that this script helps you to navigate:
    E.g. for creating a new version ``2029-01-01`` of the ``worldbank_population`` dataset, place the data into a folder named ``data/worldbank_population/archive/2029-01-01/``.
    We follow the versioning names of the original dataset, so make sure to use the same version name as the original dataset.
 2. If you want to use the script, run it now. It will guide you through the process outlined below.
-3. Create a new Zenodo deposition for the new version of the data. 
+3. Create a new Zenodo deposition for the new version of the data.
    You can do this by visiting the Zenodo website and creating a new deposition.
+
    * All relevant metadata, such as the title, description, and keywords based on the previous version of the dataset and make changes as needed.
    * Make sure to add the previous version Zenodo deposit as a related identifier with the relation "is new version of", "doi" as the identifier scheme, and the DOI of the previous version as the identifier.
    * Upload the data files from the ``data/<dataset_name>/archive/<version>/`` folder to the Zenodo deposition.
+
 4. Once the deposition is complete, publish it on Zenodo.
 5. Update ``data/versions.csv`` to include the new version of the dataset.
+
    * Create a new row in the CSV file based on the previous version, updating the version number and Zenodo URL
    * Make sure to tag this new version with the tags ``['latest', 'supported']``.
    * Remove the ``latest`` tag from the previous version.
    * If the previous version is no longer supported or outdated, remove the ``supported`` tag and add the ``deprecated`` tag.
+
 6. Commit the changes to the repository and create a pull request.
 
 ########################
@@ -66,19 +70,23 @@ It is also possible to use the helper script in ``scripts/create_zenodo_depositi
 3. If you want to use the script, run it now. It will guide you through the process outlined below.
 4. Create a new Zenodo deposition for the new data source.
    You can do this by visiting the Zenodo website and creating a new deposition.
+
    * Add all relevant metadata, such as the title, authors, description, keywords.
    * When adding the license, make sure that the license of the dataset is compatible with redistribution (i.e. uploading to Zenodo). Most of our data is originally CC-BY-4.0 licensed. If you have doubts about the license, reach out to the maintainers.
    * Make sure to set the version name to be the same as the version name used for the data files, e.g. ``2029-01-01``.
    * Upload the data files from the ``data/<dataset_name>/archive/<version>/`` folder to the Zenodo deposition. 
+
 5. Once the deposition is complete, publish it on Zenodo.
 6. Update ``data/versions.csv`` to include the new data source.
-   * Create a new row in the CSV file with the following columns:
-     * ``dataset``: The name of the dataset as used in the folder name, e.g. ``my_new_data_source``.
-     * ``source``: The source of the dataset. For Zenodo uploads the source is by definition ``archive``.
-     * ``version``: The version name of the dataset as used in the folder name, e.g. ``2029-01-01``.
-     * ``tags``: A list of tags for the dataset. Make sure to include ``latest`` and ``supported`` tags.
-     * ``url``: The link to the Zenodo deposition of the dataset, e.g. ``https://zenodo.org/record/<zenodo_id>``. Check whether the respective ``retrieve_<dataset_name>`` rule in ``rules/retrieve.smk`` requires a direct download link or the link to the Zenodo record.
-     * ``note``: An optional note about the dataset.
+   Create a new row in the CSV file with the following columns:
+
+   * ``dataset``: The name of the dataset as used in the folder name, e.g. ``my_new_data_source``.
+   * ``source``: The source of the dataset. For Zenodo uploads the source is by definition ``archive``.
+   * ``version``: The version name of the dataset as used in the folder name, e.g. ``2029-01-01``.
+   * ``tags``: A list of tags for the dataset. Make sure to include ``latest`` and ``supported`` tags.
+   * ``url``: The link to the Zenodo deposition of the dataset, e.g. ``https://zenodo.org/record/<zenodo_id>``. Check whether the respective ``retrieve_<dataset_name>`` rule in ``rules/retrieve.smk`` requires a direct download link or the link to the Zenodo record.
+   * ``note``: An optional note about the dataset.
+
 7. Implement a ``retrieve`` rule for your dataset in ``rules/retrieve.smk``.
    This rule should download the data from the Zenodo deposition and place it in the ``data/<dataset_name>/archive/<version>/`` folder.
    Take inspiration from existing rules in the file, e.g. the ``rule retrieve_worldbank_urban_population``.
@@ -88,9 +96,10 @@ It is also possible to use the helper script in ``scripts/create_zenodo_depositi
    Again, take inspiration from existing rules in the file, e.g. the ``rule retrieve_worldbank_urban_population_primary``.
    This rule will also help us in the future to update to new versions of the data set.
 9. Add the new data source to the
-    * ``data`` section in the configuration file ``config/config.default.yaml``
-    * ``doc/configtables/data.csv`` for the documentation
-    * ``data_sources.rst`` data inventory for PyPSA-Eur
+
+   * ``data`` section in the configuration file ``config/config.default.yaml``
+   * ``doc/configtables/data.csv`` for the documentation
+   * ``data_sources.rst`` data inventory for PyPSA-Eur
 
 ##############
 Data inventory

From 8608d15384c5a81ca00fd12d9390808c97e441ee Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Thu, 15 Jan 2026 15:11:56 +0100
Subject: [PATCH 13/42] follow up on #1977 (#1980)

---
 doc/configtables/data.csv | 139 --------------------------------------
 1 file changed, 139 deletions(-)
 delete mode 100644 doc/configtables/data.csv

diff --git a/doc/configtables/data.csv b/doc/configtables/data.csv
deleted file mode 100644
index 6f2f6c818..000000000
--- a/doc/configtables/data.csv
+++ /dev/null
@@ -1,139 +0,0 @@
- ,Unit,Values,Description
-hotmaps_industrial_sites,,,
--- source,str,"{archive, primary}","Source of the Hotmaps industrial sites data."
--- version,str,,"Version of the Hotmaps industrial sites data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-enspreso_biomass,,,
--- source,str,"{archive, primary}","Source of the Enspreso biomass data."
--- version,str,,"Version of the Enspreso biomass data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-osm,,,
--- source,str,"{archive, build}","Source of the OSM data. 'archive' retrieves pre-built OSM data, 'build' uses the latest OSM data to build the network."
--- version,str,,"Version of the OSM data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-worldbank_urban_population,,,
--- source,str,"{archive, primary}","Source of the World Bank urban population data."
--- version,str,,"Version of the World Bank urban population data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-gem_europe_gas_tracker,,,
--- source,str,"{archive, primary}","Source of the GEM Europe Gas Tracker data."
--- version,str,,"Version of the GEM Europe Gas Tracker data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-co2stop,,,
--- source,str,"{archive, primary}","Source of the CO2Stop data."
--- version,str,,"Version of the CO2Stop data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-nitrogen_statistics,,,
--- source,str,"{archive, primary}","Source of the Nitrogen Statistics data."
--- version,str,,"Version of the Nitrogen Statistics data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-eu_nuts2013,,,
--- source,str,"{archive, primary}","Source of the EU NUTS 2013 data."
--- version,str,,"Version of the EU NUTS 2013 data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-eu_nuts2021,,,
--- source,str,"{archive, primary}","Source of the EU NUTS 2021 data."
--- version,str,,"Version of the EU NUTS 2021 data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-eurostat_balances,,,
--- source,str,"{archive, primary}","Source of the Eurostat balances data."
--- version,str,,"Version of the Eurostat balances data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-eurostat_household_balances,,,
--- source,str,"{archive, primary}","Source of the Eurostat household balances data."
--- version,str,,"Version of the Eurostat household balances data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-wdpa,,,
--- source,str,"{archive, primary}","Source of the WDPA data."
--- version,str,,"Version of the WDPA data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-wdpa_marine,,,
--- source,str,"{archive, primary}","Source of the WDPA Marine data."
--- version,str,,"Version of the WDPA Marine data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-luisa_land_cover,,,
--- source,str,"{archive, primary}","Source of the LUISA land cover data."
--- version,str,,"Version of the LUISA land cover data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-jrc_idees,,,
--- source,str,"{archive, primary}","Source of the JRC IDEES data."
--- version,str,,"Version of the JRC IDEES data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-scigrid_gas,,,
--- source,str,"{primary, archive}","Source of the SciGRID Gas data."
--- version,str,,"Version of the SciGRID Gas data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-synthetic_electricity_demand,,,
--- source,str,"{primary, archive}","Source of the Synthetic Electricity Demand data."
--- version,str,,"Version of the Synthetic Electricity Demand data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-copernicus_land_cover,,,
--- source,str,"{primary, archive}","Source of the Copernicus Land Cover data."
--- version,str,,"Version of the Copernicus Land Cover data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-ship_raster,,,
--- source,str,"{archive, primary}","Source of the Ship Raster data."
--- version,str,,"Version of the Ship Raster data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-eez,,,
--- source,str,"{archive, primary}","Source of the EEZ data."
--- version,str,,"Version of the EEZ data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-nuts3_population,,,
--- source,str,"{archive, primary}","Source of the NUTS3 population data."
--- version,str,,"Version of the NUTS3 population data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-gdp_per_capita,,,
--- source,str,"{archive, primary}","Source of the GDP per capita data."
--- version,str,,"Version of the GDP per capita data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-population_count,,,
--- source,str,"{archive, primary}","Source of the population count data."
--- version,str,,"Version of the population count data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-ghg_emissions,,,
--- source,str,"{archive, primary}","Source of the GHG emissions data."
--- version,str,,"Version of the GHG emissions data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-gebco,,,
--- source,str,"{archive, primary}","Source of the GEBCO data."
--- version,str,,"Version of the GEBCO data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-attributed_ports,,,
--- source,str,"{archive, primary}","Source of the Attributed Ports data."
--- version,str,,"Version of the Attributed Ports data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-corine,,,
--- source,str,"{archive, primary}","Source of the CORINE data."
--- version,str,,"Version of the CORINE data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-emobility,,,
--- source,str,"{archive, primary}","Source of the Emobility data."
--- version,str,,"Version of the Emobility data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-h2_salt_caverns,,,
--- source,str,"{archive, primary}","Source of the H2 Salt Caverns data."
--- version,str,,"Version of the H2 Salt Caverns data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-lau_regions,,,
--- source,str,"{archive, primary}","Source of the LAU Regions data."
--- version,str,,"Version of the LAU Regions data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-aquifer_data,,,
--- source,str,"{archive, primary}","Source of the Aquifer data."
--- version,str,,"Version of the Aquifer data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-osm_boundaries,,,
--- source,str,"{archive, build}","Source of the OSM Boundaries data."
--- version,str,,"Version of the OSM Boundaries data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-gem_gspt,,,
--- source,str,"{archive, primary}","Source of the Global Steel Plant Tracker data."
--- version,str,,"Version of the Global Steel Plant Tracker data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-tyndp,,,
--- source,str,"{archive, primary}","Source of the TYNDP data."
--- version,str,,"Version of the TYNDP data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-powerplants,,,
--- source,str,"{primary, archive}","Source of the Powerplants data."
--- version,str,,"Version of the Powerplants data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-costs,,,
--- source,str,"{primary, archive}","Source of the Costs data."
--- version,str,,"Version of the Costs data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-country_runoff,,,
--- source,str,"{archive, build}","Source of the Country Runoff data."
--- version,str,,"Version of the Country Runoff data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-country_hdd,,,
--- source,str,"{archive, build}","Source of the Country HDD data."
--- version,str,,"Version of the Country HDD data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-natura,,,
--- source,str,"{archive, build}","Source of the Natura data."
--- version,str,,"Version of the Natura data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-bfs_road_vehicle_stock,,,
--- source,str,"{archive, primary}","Source of the BFS Road Vehicle Stock data."
--- version,str,,"Version of the BFS Road Vehicle Stock data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-bfs_gdp_and_population,,,
--- source,str,"{archive, primary}","Source of the BFS GDP and Population data."
--- version,str,,"Version of the BFS GDP and Population data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-mobility_profiles,,,
--- source,str,"{archive, build}","Source of the Mobility Profiles data."
--- version,str,,"Version of the Mobility Profiles data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-cutout,,,
--- source,str,"{archive, build}","Source of the Cutout data."
--- version,str,,"Version of the Cutout data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-dh_areas,,,
--- source,str,"{archive, primary}","Source of the District Heating Areas data."
--- version,str,,"Version of the District Heating Areas data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-geothermal_heat_utilisation_potentials,,,
--- source,str,"{archive, primary}","Source of the Geothermal Heat Utilisation Potentials data."
--- version,str,,"Version of the Geothermal Heat Utilisation Potentials data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."
-jrc_ardeco,,,
--- source,str,"{archive, primary}","Source of annual regional database for EU regions"
--- version,str,,"Version of the JRC ARDECO data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source."

From 6b0bdd503d4a4af063d3f0555eac587d25dd6df6 Mon Sep 17 00:00:00 2001
From: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Date: Thu, 15 Jan 2026 16:15:24 +0100
Subject: [PATCH 14/42] Fix atlite cutouts default value (#1979)

* Fix europe-2013 cutout default value.

* Updated default config and schema to revert to 2013 cutout.

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 config/config.default.yaml              | 6 +++---
 config/schema.json                      | 4 ++--
 scripts/lib/validation/config/atlite.py | 4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index c1e95b447..c3ff3d9dd 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -177,7 +177,7 @@ electricity:
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#atlite
 atlite:
-  default_cutout: "europe-1940-2024-era5"
+  default_cutout: "europe-2013-sarah3-era5"
   nprocesses: 16
   show_progress: false
   cutouts:
@@ -192,8 +192,8 @@ atlite:
       dx: 0.3
       dy: 0.3
       time:
-      - '1940'
-      - '2024'
+      - '2013'
+      - '2013'
       chunks:
         time: 500
       prepare_kwargs:
diff --git a/config/schema.json b/config/schema.json
index 257447477..74803a461 100644
--- a/config/schema.json
+++ b/config/schema.json
@@ -171,7 +171,7 @@
               "type": "array"
             }
           ],
-          "default": "europe-1940-2024-era5",
+          "default": "europe-2013-sarah3-era5",
           "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
         },
         "nprocesses": {
@@ -8146,7 +8146,7 @@
               "type": "array"
             }
           ],
-          "default": "europe-1940-2024-era5",
+          "default": "europe-2013-sarah3-era5",
           "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
         },
         "nprocesses": {
diff --git a/scripts/lib/validation/config/atlite.py b/scripts/lib/validation/config/atlite.py
index 0cb7ece16..cce1a0428 100644
--- a/scripts/lib/validation/config/atlite.py
+++ b/scripts/lib/validation/config/atlite.py
@@ -110,7 +110,7 @@ class AtliteConfig(BaseModel):
     """Configuration for `atlite` settings."""
 
     default_cutout: str | list[str] = Field(
-        "europe-1940-2024-era5",
+        "europe-2013-sarah3-era5",
         description="Defines a default cutout. Can refer to a single cutout or a list of cutouts.",
     )
     nprocesses: int = Field(
@@ -129,7 +129,7 @@ class AtliteConfig(BaseModel):
                 y=[33.0, 72.0],
                 dx=0.3,
                 dy=0.3,
-                time=["1940", "2024"],
+                time=["2013", "2013"],
                 chunks=_ChunksConfig(time=500),
                 prepare_kwargs=_PrepareKwargsConfig(
                     features=["temperature", "height", "runoff"],

From 1c7617e9dc355af05774eefb4d7b9f405fcc2d9e Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Fri, 16 Jan 2026 10:05:07 +0100
Subject: [PATCH 15/42] Revert "Update lock file workflow to remove push
 trigger (#1975)" (#1982)

This reverts commit cd00bb34abe8227c7136c836cc7532c7a37ff9a7.
---
 .github/workflows/update-lockfile.yaml | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index d68c5a248..31d264773 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -1,5 +1,8 @@
 name: Update locked envs
 on:
+  push:
+    paths:
+    - pixi.toml
   schedule:
   - cron: "0 8 1,16 * *" # Bi-weekly
   workflow_dispatch:

From 04d35deca8b10327d70f3d46a9bd5bf0270ef656 Mon Sep 17 00:00:00 2001
From: Will Usher <wusher@kth.se>
Date: Fri, 16 Jan 2026 13:13:08 +0000
Subject: [PATCH 16/42] Add user friendly messages to snakemake workflow
 (#1846)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Add messages for all retrieval rules

* Add messages for all build electricity rules

* Add messages to sector building rules

* Add messages for collect rules

* Add messages for solve electricity rules

* Add messages for solve myopic rules

* Add messages for solve overnight rules

* Add messages for solving perfect foresight rules

* Added messages to postprocessing rules

* Add missing qualifiers to messages

* Add missing qualifiers to build elec messages

* Add release note

* Fixed typo in message

* Removed missing wildcard from the message

* Add rule name to message (if not present) for logging

* Fix incorrect wildcard in rule

* feat: Add simple descriptive logger plugin and use by default

The logger plugin registers a derived class of snakemake's DefaultFormatter
which shows the bold message in front of the regular job info block.

* Revert "Add rule name to message (if not present) for logging"

This reverts commit c4fd02e72e4d6a7a0b8a8b25eda3ce96049098dc.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Add SPDX license metadata to plugin

* Do not track Python eggs

* Rename plugin from descriptive to pypsa

* Add SPDX license metadata to config

* Update plugins/snakemake-logger-plugin-pypsa/README.md

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* add profiles docummentation

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* fix: formatting

* Moved plugin code to own repository

* Add pixi.toml from master branch

* Add logger plugin to pixi toml

* Added messages to each of the retrieve rules

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* update lock file

---------

Co-authored-by: Jonas Hoersch <jonas.hoersch@openenergytransition.org>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Lukas Trippe <lkstrp@pm.me>
Co-authored-by: Jonas Hörsch <coroa@posteo.de>
---
 .gitignore                   |   2 +
 doc/release_notes.rst        |   2 +
 pixi.lock                    | 453 ++++++++++++++++++-----------------
 pixi.toml                    |   1 +
 profiles/default/config.yaml |   7 +
 rules/build_electricity.smk  |  50 ++++
 rules/build_sector.smk       |  86 +++++++
 rules/collect.smk            |  16 ++
 rules/postprocess.smk        |  28 +++
 rules/retrieve.smk           | 116 +++++++++
 rules/solve_electricity.smk  |   4 +
 rules/solve_myopic.smk       |   6 +
 rules/solve_overnight.smk    |   2 +
 rules/solve_perfect.smk      |   8 +
 14 files changed, 556 insertions(+), 225 deletions(-)
 create mode 100644 profiles/default/config.yaml

diff --git a/.gitignore b/.gitignore
index 1bec08757..12ebbc6a6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -63,6 +63,8 @@ d1gam3xoknrgr2.cloudfront.net/
 
 *~
 
+*.egg-info
+
 *.pyc
 
 *.xlsx
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 163d3cd1b..f73782c3a 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -115,6 +115,8 @@ Upcoming Release
 
 * Remove pinned environment files mention in the pre-commit-config-yaml (https://github.com/PyPSA/pypsa-eur/pull/1837)
 
+* Add user-readable messages to each rule (https://github.com/PyPSA/pypsa-eur/pull/1846)
+
 * Increase minimum required `pypsa` version to 0.33.2 (https://github.com/PyPSA/pypsa-eur/pull/1849)
 
 * Running perfect foresight is now marked as unstable and may not work as expected.
diff --git a/pixi.lock b/pixi.lock
index 9489a907a..d354084a9 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -63,8 +63,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.26-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.27-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.28-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.28-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
@@ -83,7 +83,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1.2-pyhd8ed1ab_0.conda
@@ -169,7 +169,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.47.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.8.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
@@ -401,7 +401,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pillow-12.1.0-py313h80991f8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pixman-0.46.4-h54a6638_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.5.1-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-6.5.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-6.5.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/polars-1.37.1-pyh6a1acc5_0.conda
@@ -411,7 +411,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/progressbar2-4.5.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/proj-9.7.1-h99ae125_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/prometheus-cpp-1.3.0-ha5d0236_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.52-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt_toolkit-3.0.52-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/propcache-0.3.1-py313h8060acc_0.conda
@@ -480,7 +480,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ruamel.yaml-0.19.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py313h54dd161_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.11-h4196e79_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.12-h4196e79_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.6.2-he8a4886_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py313h16d504d_1.conda
@@ -500,11 +500,12 @@ environments:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.3.0-pyhdfd78af_0.tar.bz2
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.22.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.3.9-pyhdfd78af_0.tar.bz2
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.3.2-pyhd4c3c12_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.6-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.7-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.0-pyhdfd78af_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.2-h03e3b7b_1.conda
@@ -525,7 +526,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.5.1-pyhcf101f3_0.conda
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   license: MIT
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/cftime-1.6.5-py313hf5115c3_0.conda
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+  md5: 1e6565956ac1d659613807c28e103350
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@@ -9339,12 +9342,11 @@ packages:
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   - python_abi 3.13.* *_cp313
   license: MIT
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-  timestamp: 1767649126585
-- conda: https://conda.anaconda.org/conda-forge/win-64/cftime-1.6.5-py312h196c9fc_0.conda
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   license: MIT
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   license: MIT
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   md5: a22d1fd9bf98827e280a02875d9a007a
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   timestamp: 1768397292344
-- conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py312h03f33d3_0.conda
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+  md5: 68f704ea294dcec9e09edd9c3d233846
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   - __glibc >=2.17,<3.0.a0
   - libcrc32c >=1.1.2,<1.2.0a0
@@ -12200,11 +12200,11 @@ packages:
   - python_abi 3.12.* *_cp312
   license: Apache-2.0
   license_family: Apache
-  size: 24991
-  timestamp: 1765879106210
-- conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_0.conda
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+  timestamp: 1768549198202
+- conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_1.conda
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+  md5: d358850e37a98739224fdc265d7d8eb7
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   - libcrc32c >=1.1.2,<1.2.0a0
@@ -12213,8 +12213,8 @@ packages:
   - python_abi 3.13.* *_cp313
   license: Apache-2.0
   license_family: Apache
-  size: 25090
-  timestamp: 1765879066941
+  size: 25326
+  timestamp: 1768549200259
 - conda: https://conda.anaconda.org/conda-forge/osx-64/google-crc32c-1.8.0-py312h5469281_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/win-64/google-crc32c-1.8.0-py312h3d708b0_0.conda
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+  md5: 91f5fad53070eed2524245d9a7902efa
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   - python >=3.12,<3.13.0a0
@@ -12277,11 +12277,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: Apache-2.0
   license_family: Apache
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-- conda: https://conda.anaconda.org/conda-forge/win-64/google-crc32c-1.8.0-py313h5327936_0.conda
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+  md5: 4f05c693f8d450b49711610815442761
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@@ -12291,8 +12291,8 @@ packages:
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   license: Apache-2.0
   license_family: Apache
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.30-openmp_ha158390_3.conda
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-  md5: a18a7f471c517062ee71b843ef95eb8a
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.30-openmp_ha158390_4.conda
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+  md5: a6f6d3a31bb29e48d37ce65de54e2df0
   depends:
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@@ -18753,9 +18753,8 @@ packages:
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   license: BSD-3-Clause
-  license_family: BSD
-  size: 4285762
-  timestamp: 1761749506256
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+  timestamp: 1768547079205
 - conda: https://conda.anaconda.org/conda-forge/linux-64/libopengl-1.7.0-ha4b6fd6_2.conda
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@@ -23823,9 +23822,9 @@ packages:
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   timestamp: 1764950726246
-- conda: https://conda.anaconda.org/conda-forge/noarch/plotly-6.5.1-pyhd8ed1ab_0.conda
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-  md5: 0a8b38871cab04059c1cc04853b415a2
+- conda: https://conda.anaconda.org/conda-forge/noarch/plotly-6.5.2-pyhd8ed1ab_0.conda
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+  md5: 7702bcd70891dd0154d765a69e1afa94
   depends:
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   - packaging
@@ -23833,9 +23832,8 @@ packages:
   constrains:
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   license: MIT
-  license_family: MIT
-  size: 4455861
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-- conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.0-pyhd8ed1ab_0.conda
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-  md5: 6fd1a65a2e8ea73120a9cc7f8e4848a9
+- conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.1-pyhd8ed1ab_0.conda
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   license: Apache-2.0
   license_family: Apache
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 - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.52-pyha770c72_0.conda
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   timestamp: 1766159549377
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.11-h4196e79_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.12-h4196e79_0.conda
   noarch: python
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   depends:
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@@ -27526,48 +27524,44 @@ packages:
   constrains:
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-  timestamp: 1767948559731
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.14.11-hb17bafe_0.conda
+  size: 11513418
+  timestamp: 1768513907806
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.14.12-hb17bafe_0.conda
   noarch: python
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   license: MIT
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.14.11-hb0cad00_0.conda
+  size: 11437974
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.14.12-hb0cad00_0.conda
   noarch: python
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-- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.14.11-h37e10c4_0.conda
+  size: 10452516
+  timestamp: 1768513987014
+- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.14.12-h37e10c4_0.conda
   noarch: python
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-  md5: 36a7142884f26724a3d33b2f80d13c2d
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+  md5: 72a8570c645cc5edad6ba9e2671ac674
   depends:
   - python
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
   license: MIT
-  license_family: MIT
-  size: 11870088
-  timestamp: 1767948584867
+  size: 11965660
+  timestamp: 1768513918812
 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
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@@ -28289,15 +28283,15 @@ packages:
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   timestamp: 1753822168221
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda
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-  md5: 98f75f2ca3a222992e2230d7afc54bb8
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
+  sha256: e582e4e11ced71185992240b07e8bc55aee667c55bc9107529183cebb167476e
+  md5: cbb15afc697a71cc9a0e9bfd75ae59cc
   depends:
   - python >=3.11.0,<4.0.0
   - snakemake-interface-common >=1.17.4,<2.0.0
   license: MIT
-  size: 18660
-  timestamp: 1759090830197
+  size: 16076
+  timestamp: 1753366768027
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
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   md5: e6fd8cfb23b294da699e395dbc968d11
@@ -28329,9 +28323,18 @@ packages:
   license_family: MIT
   size: 21574
   timestamp: 1764856126551
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.6-pyhdfd78af_0.conda
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-  md5: b4f16a0bcc52274012b0b14a2a6063b3
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda
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+  md5: 1a318ca1376d0cd58aa85e3857b08520
+  depends:
+  - python >=3.11
+  - snakemake-interface-logger-plugins >=1.2.0,<2
+  license: MIT
+  size: 21016
+  timestamp: 1767973148161
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.7-pyhdfd78af_0.conda
+  sha256: 52fdff01a79f5d72315878e17de64239c175134fe96ad3cd6c2e918a36459d1d
+  md5: 7f961395ecc022f8ccda84fd9c2d20a0
   depends:
   - appdirs
   - conda-inject >=1.3.1,<2.0
@@ -28365,8 +28368,8 @@ packages:
   - yte >=1.5.5,<2.0
   license: MIT
   license_family: MIT
-  size: 870130
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 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda
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@@ -29116,15 +29119,15 @@ packages:
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-- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.13.3-pyha770c72_0.conda
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-  md5: 146402bf0f11cbeb8f781fa4309a95d3
+- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.14.0-pyha770c72_0.conda
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+  md5: 385dca77a8b0ec6fa9b92cb62d09b43b
   depends:
-  - python >=3.9
+  - python >=3.10
   license: MIT
   license_family: MIT
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-  timestamp: 1749127286558
+  size: 39224
+  timestamp: 1768476626454
 - conda: https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda
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   md5: c07a6153f8306e45794774cf9b13bd32
diff --git a/pixi.toml b/pixi.toml
index d612ab787..7acf19342 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -98,6 +98,7 @@ xarray = ">=2024.3.0,<2025.7.0"
 xlrd = ">=2.0.2"
 yaml = ">=0.2.5"
 snakemake-storage-plugin-cached-http = ">=0.1.0"
+snakemake-logger-plugin-pypsa = ">=0.1.0"
 
 [feature.doc.tasks.build-docs]
 args = ["dir", {"arg" = "output", "default" = "html"}]
diff --git a/profiles/default/config.yaml b/profiles/default/config.yaml
new file mode 100644
index 000000000..83e5b1c52
--- /dev/null
+++ b/profiles/default/config.yaml
@@ -0,0 +1,7 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+# See https://snakemake.readthedocs.io/en/stable/executing/cli.html#profiles
+
+logger: pypsa
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index a490b0616..1606a11d2 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -4,6 +4,8 @@
 
 
 rule build_electricity_demand:
+    message:
+        "Building electricity demand time series"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -29,6 +31,8 @@ rule build_electricity_demand:
 
 
 rule build_powerplants:
+    message:
+        "Building powerplant list for {wildcards.clusters} clusters"
     params:
         powerplants_filter=config_provider("electricity", "powerplants_filter"),
         custom_powerplants=config_provider("electricity", "custom_powerplants"),
@@ -70,6 +74,8 @@ def input_base_network(w):
 
 
 rule base_network:
+    message:
+        "Building base network"
     params:
         countries=config_provider("countries"),
         snapshots=config_provider("snapshots"),
@@ -102,6 +108,8 @@ rule base_network:
 
 
 rule build_osm_boundaries:
+    message:
+        "Building OSM boundaries for {wildcards.country}"
     input:
         json=f"{OSM_BOUNDARIES_DATASET['folder']}/{{country}}_adm1.json",
         eez=ancient(rules.retrieve_eez.output["gpkg"]),
@@ -117,6 +125,8 @@ rule build_osm_boundaries:
 
 
 rule build_bidding_zones:
+    message:
+        "Building bidding zones"
     params:
         countries=config_provider("countries"),
         remove_islands=config_provider(
@@ -140,6 +150,8 @@ rule build_bidding_zones:
 
 
 rule build_shapes:
+    message:
+        "Building geographical shapes"
     params:
         config_provider("clustering", "mode"),
         countries=config_provider("countries"),
@@ -178,6 +190,8 @@ rule build_shapes:
 if CUTOUT_DATASET["source"] in ["build"]:
 
     rule build_cutout:
+        message:
+            "Building cutout data for {wildcards.cutout}"
         params:
             cutouts=config_provider("atlite", "cutouts"),
         output:
@@ -194,6 +208,8 @@ if CUTOUT_DATASET["source"] in ["build"]:
 
 
 rule build_ship_raster:
+    message:
+        "Building ship density raster"
     input:
         ship_density=rules.retrieve_ship_raster.output["zip_file"],
         cutout=lambda w: input_cutout(w),
@@ -210,6 +226,8 @@ rule build_ship_raster:
 
 
 rule determine_availability_matrix_MD_UA:
+    message:
+        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     params:
         renewable=config_provider("renewable"),
     input:
@@ -264,6 +282,8 @@ def input_ua_md_availability_matrix(w):
 
 
 rule determine_availability_matrix:
+    message:
+        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     params:
         renewable=config_provider("renewable"),
     input:
@@ -314,6 +334,8 @@ rule determine_availability_matrix:
 
 
 rule build_renewable_profiles:
+    message:
+        "Building renewable profiles for {wildcards.clusters} clusters and {wildcards.technology} technology"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -347,6 +369,8 @@ rule build_renewable_profiles:
 
 
 rule build_monthly_prices:
+    message:
+        "Building monthly fuel and CO2 prices"
     input:
         co2_price_raw="data/validation/emission-spot-primary-market-auction-report-2019-data.xls",
         fuel_price_raw="data/validation/energy-price-trends-xlsx-5619002.xlsx",
@@ -387,6 +411,8 @@ if COUNTRY_RUNOFF_DATASET["source"] == "build":
 
 
 rule build_hydro_profile:
+    message:
+        "Building hydropower profile"
     params:
         hydro=config_provider("renewable", "hydro"),
         countries=config_provider("countries"),
@@ -413,6 +439,8 @@ rule build_hydro_profile:
 
 
 rule build_line_rating:
+    message:
+        "Building dynamic line ratings"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -435,6 +463,8 @@ rule build_line_rating:
 
 
 rule build_transmission_projects:
+    message:
+        "Building transmission projects"
     params:
         transmission_projects=config_provider("transmission_projects"),
         line_factor=config_provider("lines", "length_factor"),
@@ -468,6 +498,8 @@ rule build_transmission_projects:
 
 
 rule add_transmission_projects_and_dlr:
+    message:
+        "Adding transmission projects and dynamic line ratings"
     params:
         transmission_projects=config_provider("transmission_projects"),
         dlr=config_provider("lines", "dynamic_line_rating"),
@@ -514,6 +546,8 @@ def input_class_regions(w):
 
 
 rule build_electricity_demand_base:
+    message:
+        "Building electricity demand time series for base network"
     params:
         distribution_key=config_provider("load", "distribution_key"),
     input:
@@ -534,6 +568,8 @@ rule build_electricity_demand_base:
 
 
 rule build_hac_features:
+    message:
+        "Aggregate all rastered cutout data to base regions Voronoi cells."
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -576,6 +612,8 @@ rule process_cost_data:
 
 
 rule simplify_network:
+    message:
+        "Simplifying network"
     params:
         countries=config_provider("countries"),
         mode=config_provider("clustering", "mode"),
@@ -631,6 +669,8 @@ def input_custom_busmap(w):
 
 
 rule cluster_network:
+    message:
+        "Clustering network to {wildcards.clusters} clusters"
     params:
         countries=config_provider("countries"),
         mode=config_provider("clustering", "mode"),
@@ -709,6 +749,8 @@ def input_conventional(w):
 
 
 rule add_electricity:
+    message:
+        "Adding electricity to network with {wildcards.clusters} clusters"
     params:
         line_length_factor=config_provider("lines", "length_factor"),
         link_length_factor=config_provider("links", "length_factor"),
@@ -758,6 +800,8 @@ rule add_electricity:
 
 
 rule prepare_network:
+    message:
+        "Preparing network for model with {wildcards.clusters} clusters and options {wildcards.opts}"
     params:
         time_resolution=config_provider("clustering", "temporal", "resolution_elec"),
         links=config_provider("links"),
@@ -797,6 +841,8 @@ if (
 ):
 
     rule clean_osm_data:
+        message:
+            "Cleaning raw OSM data for {wildcards.country}"
         input:
             cables_way=expand(
                 f"{OSM_DATASET['folder']}/{{country}}/cables_way.json",
@@ -837,6 +883,8 @@ if (
             "../scripts/clean_osm_data.py"
 
     rule build_osm_network:
+        message:
+            "Building OSM network"
         params:
             countries=config_provider("countries"),
             voltages=config_provider("electricity", "voltages"),
@@ -875,6 +923,8 @@ if (
 if config["electricity"]["base_network"] == "tyndp":
 
     rule build_tyndp_network:
+        message:
+            "Building TYNDP network"
         params:
             countries=config_provider("countries"),
         input:
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index 56f6af5d3..046eae824 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -4,6 +4,8 @@
 
 
 rule build_population_layouts:
+    message:
+        "Building population layout data (total, urban, rural) from NUTS3 shapes and World Bank statistics"
     input:
         nuts3_shapes=resources("nuts3_shapes.geojson"),
         urban_percent=rules.retrieve_worldbank_urban_population.output["csv"],
@@ -24,6 +26,8 @@ rule build_population_layouts:
 
 
 rule build_clustered_population_layouts:
+    message:
+        "Clustering population layouts for {wildcards.clusters} clusters"
     input:
         pop_layout_total=resources("pop_layout_total.nc"),
         pop_layout_urban=resources("pop_layout_urban.nc"),
@@ -43,6 +47,8 @@ rule build_clustered_population_layouts:
 
 
 rule build_clustered_solar_rooftop_potentials:
+    message:
+        "Building solar rooftop potentials for {wildcards.clusters} clusters"
     input:
         pop_layout=resources("pop_layout_total.nc"),
         class_regions=resources("regions_by_class_{clusters}_solar.geojson"),
@@ -60,6 +66,8 @@ rule build_clustered_solar_rooftop_potentials:
 
 
 rule build_simplified_population_layouts:
+    message:
+        "Building simplified population layouts for base scenario"
     input:
         pop_layout_total=resources("pop_layout_total.nc"),
         pop_layout_urban=resources("pop_layout_urban.nc"),
@@ -79,6 +87,8 @@ rule build_simplified_population_layouts:
 
 
 rule build_gas_network:
+    message:
+        "Building cleaned gas network from SciGRID-Gas data"
     input:
         gas_network=rules.retrieve_gas_infrastructure_data.output["gas_network"],
     output:
@@ -94,6 +104,8 @@ rule build_gas_network:
 
 
 rule build_gas_input_locations:
+    message:
+        "Building gas input locations for {wildcards.clusters} clusters"
     input:
         gem="data/gem/Europe-Gas-Tracker-2024-05.xlsx",
         entry=rules.retrieve_gas_infrastructure_data.output["entry"],
@@ -116,6 +128,8 @@ rule build_gas_input_locations:
 
 
 rule cluster_gas_network:
+    message:
+        "Clustering gas network for {wildcards.clusters} clusters"
     input:
         cleaned_gas_network=resources("gas_network.csv"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -133,6 +147,8 @@ rule cluster_gas_network:
 
 
 rule build_daily_heat_demand:
+    message:
+        "Building daily heat demand profiles for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -156,6 +172,8 @@ rule build_daily_heat_demand:
 
 
 rule build_hourly_heat_demand:
+    message:
+        "Building hourly heat demand profiles from daily demand for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -180,6 +198,8 @@ rule build_hourly_heat_demand:
 
 
 rule build_temperature_profiles:
+    message:
+        "Building temperature profiles for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -204,6 +224,8 @@ rule build_temperature_profiles:
 
 
 rule build_central_heating_temperature_profiles:
+    message:
+        "Building central heating temperature profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         max_forward_temperature_central_heating_baseyear=config_provider(
             "sector",
@@ -296,6 +318,8 @@ rule build_dh_areas:
 
 
 rule build_geothermal_heat_potential:
+    message:
+        "Building geothermal heat potential estimates for {wildcards.clusters} clusters"
     params:
         drop_leap_day=config_provider("enable", "drop_leap_day"),
         countries=config_provider("countries"),
@@ -334,6 +358,8 @@ rule build_geothermal_heat_potential:
 
 
 rule build_ates_potentials:
+    message:
+        "Building aquifer thermal energy storage (ATES) potentials for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         max_top_temperature=config_provider(
             "sector",
@@ -612,6 +638,8 @@ rule build_sea_heat_potential:
 
 
 rule build_cop_profiles:
+    message:
+        "Building coefficient of performance (COP) profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         heat_pump_sink_T_decentral_heating=config_provider(
             "sector", "heat_pump_sink_T_individual_heating"
@@ -649,6 +677,8 @@ rule build_cop_profiles:
 
 
 rule build_ptes_operations:
+    message:
+        "Building thermal energy storage operations profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         max_ptes_top_temperature=config_provider(
             "sector",
@@ -692,6 +722,8 @@ rule build_ptes_operations:
 
 
 rule build_direct_heat_source_utilisation_profiles:
+    message:
+        "Building direct heat source utilization profiles for industrial applications for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         direct_utilisation_heat_sources=config_provider(
             "sector", "district_heating", "direct_utilisation_heat_sources"
@@ -723,6 +755,8 @@ rule build_direct_heat_source_utilisation_profiles:
 
 
 rule build_solar_thermal_profiles:
+    message:
+        "Building solar thermal generation profiles for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -745,6 +779,8 @@ rule build_solar_thermal_profiles:
 
 
 rule build_energy_totals:
+    message:
+        "Building energy totals"
     params:
         countries=config_provider("countries"),
         energy=config_provider("energy"),
@@ -798,6 +834,8 @@ if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["build"
 
 
 rule build_heat_totals:
+    message:
+        "Building heat totals"
     input:
         hdd=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
         energy_totals=resources("energy_totals.csv"),
@@ -815,6 +853,8 @@ rule build_heat_totals:
 
 
 rule build_biomass_potentials:
+    message:
+        "Building biomass potential estimates for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         biomass=config_provider("biomass"),
     input:
@@ -845,6 +885,8 @@ rule build_biomass_potentials:
 
 
 rule build_biomass_transport_costs:
+    message:
+        "Building biomass transport cost"
     input:
         sc1="data/biomass_transport_costs_supplychain1.csv",
         sc2="data/biomass_transport_costs_supplychain2.csv",
@@ -862,6 +904,8 @@ rule build_biomass_transport_costs:
 
 
 rule build_co2_sequestration_potentials:
+    message:
+        "Building CO2 sequestration potentials"
     input:
         storage_table=rules.retrieve_co2stop.output["storage_table"],
         storage_map=rules.retrieve_co2stop.output["storage_map"],
@@ -883,6 +927,8 @@ rule build_co2_sequestration_potentials:
 
 
 rule build_clustered_co2_sequestration_potentials:
+    message:
+        "Clustering CO2 sequestration potentials for {wildcards.clusters} clusters"
     params:
         sequestration_potential=config_provider(
             "sector", "regional_co2_sequestration_potential"
@@ -907,6 +953,8 @@ rule build_clustered_co2_sequestration_potentials:
 
 
 rule build_salt_cavern_potentials:
+    message:
+        "Building salt cavern potential for hydrogen storage for {wildcards.clusters} clusters"
     input:
         salt_caverns=rules.retrieve_h2_salt_caverns.output["geojson"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -925,6 +973,8 @@ rule build_salt_cavern_potentials:
 
 
 rule build_ammonia_production:
+    message:
+        "Building ammonia production capacity and location data"
     input:
         usgs=rules.retrieve_nitrogen_statistics.output["xlsx"],
     output:
@@ -941,6 +991,8 @@ rule build_ammonia_production:
 
 
 rule build_industry_sector_ratios:
+    message:
+        "Building industry sector energy demand ratios"
     params:
         industry=config_provider("industry"),
         ammonia=config_provider("sector", "ammonia", default=False),
@@ -961,6 +1013,8 @@ rule build_industry_sector_ratios:
 
 
 rule build_industry_sector_ratios_intermediate:
+    message:
+        "Building intermediate industry sector ratios for {wildcards.planning_horizons} planning horizon"
     params:
         industry=config_provider("industry"),
     input:
@@ -987,6 +1041,8 @@ rule build_industry_sector_ratios_intermediate:
 
 
 rule build_industrial_production_per_country:
+    message:
+        "Building industrial production statistics per country"
     params:
         industry=config_provider("industry"),
         countries=config_provider("countries"),
@@ -1011,6 +1067,8 @@ rule build_industrial_production_per_country:
 
 
 rule build_industrial_production_per_country_tomorrow:
+    message:
+        "Building future industrial production projections for {wildcards.planning_horizons} planning horizon"
     params:
         industry=config_provider("industry"),
     input:
@@ -1037,6 +1095,8 @@ rule build_industrial_production_per_country_tomorrow:
 
 
 rule build_industrial_distribution_key:
+    message:
+        "Building industrial activity distribution mapping key for {wildcards.clusters} clusters"
     params:
         hotmaps_locate_missing=config_provider(
             "industry", "hotmaps_locate_missing", default=False
@@ -1066,6 +1126,8 @@ rule build_industrial_distribution_key:
 
 
 rule build_industrial_production_per_node:
+    message:
+        "Distributing industrial production to network nodes for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     input:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
@@ -1093,6 +1155,8 @@ rule build_industrial_production_per_node:
 
 
 rule build_industrial_energy_demand_per_node:
+    message:
+        "Building industrial energy demand per network node for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     input:
         industry_sector_ratios=resources(
             "industry_sector_ratios_{planning_horizons}.csv"
@@ -1125,6 +1189,8 @@ rule build_industrial_energy_demand_per_node:
 
 
 rule build_industrial_energy_demand_per_country_today:
+    message:
+        "Building current industrial energy demand by country"
     params:
         countries=config_provider("countries"),
         industry=config_provider("industry"),
@@ -1151,6 +1217,8 @@ rule build_industrial_energy_demand_per_country_today:
 
 
 rule build_industrial_energy_demand_per_node_today:
+    message:
+        "Building current industrial energy demand per network node for {wildcards.clusters} clusters"
     input:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
@@ -1174,6 +1242,8 @@ rule build_industrial_energy_demand_per_node_today:
 
 
 rule build_retro_cost:
+    message:
+        "Building retrofitting cost estimates for building efficiency improvements for {wildcards.clusters} clusters"
     params:
         retrofitting=config_provider("sector", "retrofitting"),
         countries=config_provider("countries"),
@@ -1202,6 +1272,8 @@ rule build_retro_cost:
 
 
 rule build_population_weighted_energy_totals:
+    message:
+        "Building population-weighted energy demand totals for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -1222,6 +1294,8 @@ rule build_population_weighted_energy_totals:
 
 
 rule build_shipping_demand:
+    message:
+        "Building shipping fuel demand projections for {wildcards.clusters} clusters"
     input:
         ports=rules.retrieve_attributed_ports.output["json"],
         scope=resources("europe_shape.geojson"),
@@ -1273,6 +1347,8 @@ if MOBILITY_PROFILES_DATASET["source"] in ["build"]:
 
 
 rule build_transport_demand:
+    message:
+        "Building transport energy demand profiles for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -1305,6 +1381,8 @@ rule build_transport_demand:
 
 
 rule build_district_heat_share:
+    message:
+        "Building district heating penetration share data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         sector=config_provider("sector"),
         energy_totals_year=config_provider("energy", "energy_totals_year"),
@@ -1327,6 +1405,8 @@ rule build_district_heat_share:
 
 
 rule build_existing_heating_distribution:
+    message:
+        "Building existing heating technology distribution data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     params:
         baseyear=config_provider("scenario", "planning_horizons", 0),
         sector=config_provider("sector"),
@@ -1360,6 +1440,8 @@ rule build_existing_heating_distribution:
 
 
 rule time_aggregation:
+    message:
+        "Performing time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         time_resolution=config_provider("clustering", "temporal"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -1400,6 +1482,8 @@ def input_profile_offwind(w):
 
 
 rule build_egs_potentials:
+    message:
+        "Building enhanced geothermal system (EGS) potential estimates for {wildcards.clusters} clusters"
     params:
         snapshots=config_provider("snapshots"),
         drop_leap_day=config_provider("enable", "drop_leap_day"),
@@ -1445,6 +1529,8 @@ def input_heat_source_power(w):
 
 
 rule prepare_sector_network:
+    message:
+        "Preparing integrated sector-coupled energy network for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizon, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
         co2_budget=config_provider("co2_budget"),
diff --git a/rules/collect.smk b/rules/collect.smk
index f34b4050b..743407ee9 100644
--- a/rules/collect.smk
+++ b/rules/collect.smk
@@ -31,6 +31,8 @@ rule process_costs:
 
 
 rule cluster_networks:
+    message:
+        "Collecting clustered network files"
     input:
         expand(
             resources("networks/base_s_{clusters}.nc"),
@@ -40,6 +42,8 @@ rule cluster_networks:
 
 
 rule prepare_elec_networks:
+    message:
+        "Collecting prepared electricity network files"
     input:
         expand(
             resources("networks/base_s_{clusters}_elec_{opts}.nc"),
@@ -49,6 +53,8 @@ rule prepare_elec_networks:
 
 
 rule prepare_sector_networks:
+    message:
+        "Collecting prepared sector-coupled network files"
     input:
         expand(
             resources(
@@ -60,6 +66,8 @@ rule prepare_sector_networks:
 
 
 rule solve_elec_networks:
+    message:
+        "Collecting solved electricity network files"
     input:
         expand(
             RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
@@ -69,6 +77,8 @@ rule solve_elec_networks:
 
 
 rule solve_sector_networks:
+    message:
+        "Collecting solved sector-coupled network files"
     input:
         expand(
             RESULTS
@@ -79,6 +89,8 @@ rule solve_sector_networks:
 
 
 rule solve_sector_networks_perfect:
+    message:
+        "Collecting solved sector-coupled network files with perfect foresight"
     input:
         expand(
             RESULTS
@@ -105,6 +117,8 @@ def balance_map_paths(kind, w):
 
 
 rule plot_balance_maps:
+    message:
+        "Plotting energy balance maps"
     input:
         static=lambda w: balance_map_paths("static", w),
         interactive=lambda w: balance_map_paths("interactive", w),
@@ -121,6 +135,8 @@ rule plot_balance_maps_interactive:
 
 
 rule plot_power_networks_clustered:
+    message:
+        "Plotting clustered power network topology"
     input:
         expand(
             resources("maps/power-network-s-{clusters}.pdf"),
diff --git a/rules/postprocess.smk b/rules/postprocess.smk
index 93ca2e3ec..3a8379de6 100644
--- a/rules/postprocess.smk
+++ b/rules/postprocess.smk
@@ -6,6 +6,8 @@
 if config["foresight"] != "perfect":
 
     rule plot_base_network:
+        message:
+            "Plotting base power network"
         params:
             plotting=config_provider("plotting"),
         input:
@@ -22,6 +24,8 @@ if config["foresight"] != "perfect":
             "../scripts/plot_base_network.py"
 
     rule plot_power_network_clustered:
+        message:
+            "Plotting clustered power network for {wildcards.clusters} clusters"
         params:
             plotting=config_provider("plotting"),
         input:
@@ -38,6 +42,8 @@ if config["foresight"] != "perfect":
             "../scripts/plot_power_network_clustered.py"
 
     rule plot_power_network:
+        message:
+            "Plotting power network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
         params:
             plotting=config_provider("plotting"),
             transmission_limit=config_provider("electricity", "transmission_limit"),
@@ -63,6 +69,8 @@ if config["foresight"] != "perfect":
             "../scripts/plot_power_network.py"
 
     rule plot_hydrogen_network:
+        message:
+            "Plotting hydrogen network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
         params:
             plotting=config_provider("plotting"),
             foresight=config_provider("foresight"),
@@ -88,6 +96,8 @@ if config["foresight"] != "perfect":
             "../scripts/plot_hydrogen_network.py"
 
     rule plot_gas_network:
+        message:
+            "Plotting methane network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizon"
         params:
             plotting=config_provider("plotting"),
         input:
@@ -112,6 +122,8 @@ if config["foresight"] != "perfect":
             "../scripts/plot_gas_network.py"
 
     rule plot_balance_map:
+        message:
+            "Plotting balance map for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options, {wildcards.planning_horizons} planning horizons and {wildcards.carrier} carrier"
         params:
             plotting=config_provider("plotting"),
             settings=lambda w: config_provider("plotting", "balance_map", w.carrier),
@@ -217,6 +229,8 @@ if config["foresight"] == "perfect":
         }
 
     rule plot_power_network_perfect:
+        message:
+            "Plotting power network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
         params:
             plotting=config_provider("plotting"),
         input:
@@ -233,6 +247,8 @@ if config["foresight"] == "perfect":
 
 
 rule make_summary:
+    message:
+        "Creating optimization results summary statistics"
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -281,6 +297,8 @@ rule make_summary:
 
 
 rule make_global_summary:
+    message:
+        "Creating global summary of optimization results for all scenarios"
     params:
         scenario=config_provider("scenario"),
         RDIR=RDIR,
@@ -396,6 +414,8 @@ rule make_global_summary:
 
 
 rule make_cumulative_costs:
+    message:
+        "Calculating cumulative costs over time horizon"
     params:
         scenario=config_provider("scenario"),
     input:
@@ -414,6 +434,8 @@ rule make_cumulative_costs:
 
 
 rule plot_summary:
+    message:
+        "Plotting summary statistics and results"
     params:
         countries=config_provider("countries"),
         planning_horizons=config_provider("scenario", "planning_horizons"),
@@ -443,6 +465,8 @@ rule plot_summary:
 
 
 rule plot_balance_timeseries:
+    message:
+        "Plotting energy balance time series for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
     params:
         plotting=config_provider("plotting"),
         snapshots=config_provider("snapshots"),
@@ -470,6 +494,8 @@ rule plot_balance_timeseries:
 
 
 rule plot_heatmap_timeseries:
+    message:
+        "Plotting heatmap time series visualization for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
     params:
         plotting=config_provider("plotting"),
         snapshots=config_provider("snapshots"),
@@ -510,6 +536,8 @@ STATISTICS_BARPLOTS = [
 
 
 rule plot_base_statistics:
+    message:
+        "Plotting base scenario statistics for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     params:
         plotting=config_provider("plotting"),
         barplots=STATISTICS_BARPLOTS,
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 2b5c09a95..8861f78d4 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -28,6 +28,8 @@ if (EUROSTAT_BALANCES_DATASET := dataset_version("eurostat_balances"))["source"]
 ]:
 
     rule retrieve_eurostat_balances:
+        message:
+            "Retrieving Eurostat balances data"
         input:
             zip_file=storage(EUROSTAT_BALANCES_DATASET["url"]),
         output:
@@ -48,6 +50,8 @@ if (
 ]:
 
     rule retrieve_eurostat_household_balances:
+        message:
+            "Retrieving Eurostat household balances data"
         input:
             csv=storage(EUROSTAT_HOUSEHOLD_BALANCES_DATASET["url"]),
         output:
@@ -62,6 +66,8 @@ if (NUTS3_POPULATION_DATASET := dataset_version("nuts3_population"))["source"] i
 ]:
 
     rule retrieve_nuts3_population:
+        message:
+            "Retrieving NUTS3 population data"
         input:
             gz=storage(NUTS3_POPULATION_DATASET["url"]),
         output:
@@ -74,6 +80,8 @@ if (NUTS3_POPULATION_DATASET := dataset_version("nuts3_population"))["source"] i
 if (CORINE_DATASET := dataset_version("corine"))["source"] in ["archive"]:
 
     rule retrieve_corine:
+        message:
+            "Retrieving Corine land cover data"
         input:
             zip_file=storage(CORINE_DATASET["url"]),
         output:
@@ -90,6 +98,8 @@ if (CORINE_DATASET := dataset_version("corine"))["source"] in ["archive"]:
 elif (CORINE_DATASET := dataset_version("corine"))["source"] in ["primary"]:
 
     rule retrieve_corine:
+        message:
+            "Retrieving Corine land cover data"
         params:
             apikey=os.environ.get("CORINE_API_TOKEN", config["secrets"]["corine"]),
         output:
@@ -109,6 +119,8 @@ if (H2_SALT_CAVERNS_DATASET := dataset_version("h2_salt_caverns"))["source"] in
 ]:
 
     rule retrieve_h2_salt_caverns:
+        message:
+            "Retrieving H2 salt caverns data"
         input:
             geojson=storage(H2_SALT_CAVERNS_DATASET["url"]),
         output:
@@ -123,6 +135,8 @@ if (GDP_PER_CAPITA_DATASET := dataset_version("gdp_per_capita"))["source"] in [
 ]:
 
     rule retrieve_gdp_per_capita:
+        message:
+            "Retrieving GDP per capita data"
         input:
             gdp=storage(GDP_PER_CAPITA_DATASET["url"]),
         output:
@@ -138,6 +152,8 @@ if (POPULATION_COUNT_DATASET := dataset_version("population_count"))["source"] i
 ]:
 
     rule retrieve_population_count:
+        message:
+            "Retrieving population count data"
         input:
             tif=storage(POPULATION_COUNT_DATASET["url"]),
         output:
@@ -163,6 +179,8 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
 ]:
 
     rule retrieve_ghg_emissions:
+        message:
+            "Retrieving GHG emissions data"
         input:
             ghg=storage(GHG_EMISSIONS_DATASET["url"]),
         output:
@@ -190,6 +208,8 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
 if (GEBCO_DATASET := dataset_version("gebco"))["source"] in ["archive", "primary"]:
 
     rule retrieve_gebco:
+        message:
+            "Retrieving GEBCO bathymetry data"
         input:
             storage(GEBCO_DATASET["url"]),
         output:
@@ -223,6 +243,8 @@ if (ATTRIBUTED_PORTS_DATASET := dataset_version("attributed_ports"))["source"] i
 ]:
 
     rule retrieve_attributed_ports:
+        message:
+            "Retrieving attributed ports data"
         input:
             json=storage(ATTRIBUTED_PORTS_DATASET["url"]),
         output:
@@ -238,6 +260,8 @@ if (JRC_IDEES_DATASET := dataset_version("jrc_idees"))["source"] in [
 ]:
 
     rule retrieve_jrc_idees:
+        message:
+            "Retrieving JRC IDEES data"
         input:
             zip_file=storage(JRC_IDEES_DATASET["url"]),
         output:
@@ -255,6 +279,8 @@ if (EU_NUTS2013_DATASET := dataset_version("eu_nuts2013"))["source"] in [
 ]:
 
     rule retrieve_eu_nuts_2013:
+        message:
+            "Retrieving EU NUTS 2013 data"
         input:
             shapes=storage(EU_NUTS2013_DATASET["url"]),
         output:
@@ -275,6 +301,8 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
 ]:
 
     rule retrieve_eu_nuts_2021:
+        message:
+            "Retrieving EU NUTS 2021 data"
         input:
             shapes=storage(EU_NUTS2021_DATASET["url"]),
         output:
@@ -292,6 +320,8 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
 
 
 rule retrieve_bidding_zones:
+    message:
+        "Retrieving bidding zones data from ENTSO-E and Electricity Maps"
     output:
         file_entsoepy="data/busshapes/bidding_zones_entsoepy.geojson",
         file_electricitymaps="data/busshapes/bidding_zones_electricitymaps.geojson",
@@ -309,6 +339,8 @@ if (CUTOUT_DATASET := dataset_version("cutout"))["source"] in [
 ]:
 
     rule retrieve_cutout:
+        message:
+            "Retrieving cutout data for {wildcards.cutout}"
         input:
             storage(CUTOUT_DATASET["url"] + "/files/{cutout}.nc"),
         output:
@@ -327,6 +359,8 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))["source"] in [
 ]:
 
     rule retrieve_country_runoff:
+        message:
+            "Retrieving country runoff data"
         input:
             storage(COUNTRY_RUNOFF_DATASET["url"]),
         output:
@@ -338,6 +372,8 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))["source"] in [
 if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["archive"]:
 
     rule retrieve_country_hdd:
+        message:
+            "Retrieving country heating degree days data"
         input:
             storage(COUNTRY_HDD_DATASET["url"]),
         output:
@@ -351,6 +387,8 @@ if (COSTS_DATASET := dataset_version("costs"))["source"] in [
 ]:
 
     rule retrieve_cost_data:
+        message:
+            "Retrieving cost data for {wildcards.planning_horizons}"
         input:
             costs=storage(COSTS_DATASET["url"] + "/costs_{planning_horizons}.csv"),
         output:
@@ -364,6 +402,8 @@ if (POWERPLANTS_DATASET := dataset_version("powerplants"))["source"] in [
 ]:
 
     rule retrieve_powerplants:
+        message:
+            "Retrieving powerplants data"
         input:
             powerplants=storage(POWERPLANTS_DATASET["url"]),
         output:
@@ -378,6 +418,8 @@ if (SCIGRID_GAS_DATASET := dataset_version("scigrid_gas"))["source"] in [
 ]:
 
     rule retrieve_gas_infrastructure_data:
+        message:
+            "Retrieving SciGRID gas infrastructure data"
         input:
             zip_file=storage(SCIGRID_GAS_DATASET["url"]),
         output:
@@ -392,6 +434,8 @@ if (SCIGRID_GAS_DATASET := dataset_version("scigrid_gas"))["source"] in [
 
 
 rule retrieve_electricity_demand:
+    message:
+        "Retrieving electricity demand data"
     params:
         versions=["2019-06-05", "2020-10-06"],
     output:
@@ -415,6 +459,8 @@ if (
 ]:
 
     rule retrieve_synthetic_electricity_demand:
+        message:
+            "Retrieving synthetic electricity demand data"
         input:
             csv=storage(SYNTHETIC_ELECTRICITY_DEMAND_DATASET["url"]),
         output:
@@ -430,6 +476,8 @@ if (SHIP_RASTER_DATASET := dataset_version("ship_raster"))["source"] in [
 ]:
 
     rule retrieve_ship_raster:
+        message:
+            "Retrieving shipping raster data"
         input:
             zip_file=storage(SHIP_RASTER_DATASET["url"]),
         output:
@@ -449,6 +497,8 @@ if (ENSPRESO_BIOMASS_DATASET := dataset_version("enspreso_biomass"))["source"] i
 ]:
 
     rule retrieve_enspreso_biomass:
+        message:
+            "Retrieving ENSPRESO biomass data"
         input:
             xlsx=storage(ENSPRESO_BIOMASS_DATASET["url"]),
         output:
@@ -466,6 +516,8 @@ if (HOTMAPS_INDUSTRIAL_SITES := dataset_version("hotmaps_industrial_sites"))[
 ]:
 
     rule retrieve_hotmaps_industrial_sites:
+        message:
+            "Retrieving Hotmaps industrial sites"
         input:
             csv=storage(HOTMAPS_INDUSTRIAL_SITES["url"]),
         output:
@@ -483,6 +535,8 @@ if (NITROGEN_STATISTICS_DATASET := dataset_version("nitrogen_statistics"))[
 ]:
 
     rule retrieve_nitrogen_statistics:
+        message:
+            "Retrieving nitrogen statistics data"
         input:
             xlsx=storage(NITROGEN_STATISTICS_DATASET["url"]),
         output:
@@ -499,6 +553,8 @@ if (COPERNICUS_LAND_COVER_DATASET := dataset_version("copernicus_land_cover"))[
     # Downloading Copernicus Global Land Cover for land cover and land use:
     # Website: https://land.copernicus.eu/global/products/lc
     rule download_copernicus_land_cover:
+        message:
+            "Retrieving Copernicus land cover data"
         input:
             tif=storage(COPERNICUS_LAND_COVER_DATASET["url"]),
         output:
@@ -515,6 +571,8 @@ if (LUISA_LAND_COVER_DATASET := dataset_version("luisa_land_cover"))["source"] i
     # Downloading LUISA Base Map for land cover and land use:
     # Website: https://ec.europa.eu/jrc/en/luisa
     rule retrieve_luisa_land_cover:
+        message:
+            "Retrieving LUISA land cover data"
         input:
             tif=storage(LUISA_LAND_COVER_DATASET["url"]),
         output:
@@ -526,6 +584,8 @@ if (LUISA_LAND_COVER_DATASET := dataset_version("luisa_land_cover"))["source"] i
 if (EEZ_DATASET := dataset_version("eez"))["source"] in ["primary"]:
 
     rule retrieve_eez:
+        message:
+            "Retrieving EEZ data"
         output:
             zip_file=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR.zip",
             gpkg=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR/eez_{EEZ_DATASET['version'].split('_')[0]}_lowres.gpkg",
@@ -558,6 +618,8 @@ if (EEZ_DATASET := dataset_version("eez"))["source"] in ["primary"]:
 elif (EEZ_DATASET := dataset_version("eez"))["source"] in ["archive"]:
 
     rule retrieve_eez:
+        message:
+            "Retrieving EEZ data"
         input:
             zip_file=storage(
                 EEZ_DATASET["url"],
@@ -577,6 +639,8 @@ if (WB_URB_POP_DATASET := dataset_version("worldbank_urban_population"))["source
 ]:
 
     rule retrieve_worldbank_urban_population:
+        message:
+            "Retrieving World Bank urban population data"
         input:
             zip=storage(WB_URB_POP_DATASET["url"]),
         output:
@@ -603,6 +667,8 @@ if (CO2STOP_DATASET := dataset_version("co2stop"))["source"] in [
 ]:
 
     rule retrieve_co2stop:
+        message:
+            "Retrieving CO2STOP data"
         input:
             zip_file=storage(CO2STOP_DATASET["url"]),
         output:
@@ -628,6 +694,8 @@ if (GEM_EUROPE_GAS_TRACKER_DATASET := dataset_version("gem_europe_gas_tracker"))
 ]:
 
     rule retrieve_gem_europe_gas_tracker:
+        message:
+            "Retrieving GEM Europe Gas Tracker data"
         input:
             xlsx=storage(GEM_EUROPE_GAS_TRACKER_DATASET["url"]),
         output:
@@ -642,6 +710,8 @@ if (GEM_GSPT_DATASET := dataset_version("gem_gspt"))["source"] in [
 ]:
 
     rule retrieve_gem_steel_plant_tracker:
+        message:
+            "Retrieving GEM Global Steel Plant Tracker data"
         input:
             xlsx=storage(GEM_GSPT_DATASET["url"]),
         output:
@@ -658,6 +728,8 @@ if (BFS_ROAD_VEHICLE_STOCK_DATASET := dataset_version("bfs_road_vehicle_stock"))
 ]:
 
     rule retrieve_bfs_road_vehicle_stock:
+        message:
+            "Retrieving BFS road vehicle stock data"
         input:
             csv=storage(BFS_ROAD_VEHICLE_STOCK_DATASET["url"]),
         output:
@@ -674,6 +746,8 @@ if (BFS_GDP_AND_POPULATION_DATASET := dataset_version("bfs_gdp_and_population"))
 ]:
 
     rule retrieve_bfs_gdp_and_population:
+        message:
+            "Retrieving BFS GDP and population data"
         input:
             xlsx=storage(BFS_GDP_AND_POPULATION_DATASET["url"]),
         output:
@@ -729,6 +803,8 @@ if (WDPA_DATASET := dataset_version("wdpa"))["source"] in [
     # extract the main zip and then merge the contained 3 zipped shapefiles
     # Website: https://www.protectedplanet.net/en/thematic-areas/wdpa
     rule retrieve_wdpa:
+        message:
+            "Downloading protected area database from WDPA"
         input:
             zip_file=storage(get_wdpa_url(WDPA_DATASET)),
         output:
@@ -758,6 +834,8 @@ if (WDPA_MARINE_DATASET := dataset_version("wdpa_marine"))["source"] in [
         # Downloading Marine protected area database from WDPA
         # extract the main zip and then merge the contained 3 zipped shapefiles
         # Website: https://www.protectedplanet.net/en/thematic-areas/marine-protected-areas
+        message:
+            "Downloading Marine protected area database from WDPA"
         input:
             zip_file=storage(get_wdpa_url(WDPA_MARINE_DATASET)),
         output:
@@ -779,6 +857,8 @@ if (WDPA_MARINE_DATASET := dataset_version("wdpa_marine"))["source"] in [
 # Versioning not implemented as the dataset is used only for validation
 # License - (c) EEX AG, all rights reserved. Personal copy for non-commercial use permitted
 rule retrieve_monthly_co2_prices:
+    message:
+        "Retrieving monthly CO2 prices data for validation"
     input:
         storage(
             "https://public.eex-group.com/eex/eua-auction-report/emission-spot-primary-market-auction-report-2019-data.xls",
@@ -797,6 +877,8 @@ rule retrieve_monthly_co2_prices:
 # Versioning not implemented as the dataset is used only for validation
 # License - custom; no restrictions on use and redistribution, attribution required
 rule retrieve_monthly_fuel_prices:
+    message:
+        "Retrieving monthly fuel prices data for validation"
     output:
         "data/validation/energy-price-trends-xlsx-5619002.xlsx",
     log:
@@ -811,6 +893,8 @@ rule retrieve_monthly_fuel_prices:
 if (TYDNP_DATASET := dataset_version("tyndp"))["source"] in ["primary", "archive"]:
 
     rule retrieve_tyndp:
+        message:
+            "Retrieving TYNDP network topology data"
         input:
             line_data=storage(TYDNP_DATASET["url"] + "/Line-data.zip"),
             nodes=storage(TYDNP_DATASET["url"] + "/Nodes.zip"),
@@ -849,6 +933,8 @@ if OSM_DATASET["source"] in ["archive"]:
     ]
 
     rule retrieve_osm_archive:
+        message:
+            "Retrieving OSM archive data"
         input:
             **{
                 file: storage(f"{OSM_DATASET['url']}/files/{file}")
@@ -877,6 +963,8 @@ elif OSM_DATASET["source"] == "build":
     ]
 
     rule retrieve_osm_data_raw:
+        message:
+            "Retrieving OSM raw data for {wildcards.country}"
         params:
             overpass_api=config_provider("overpass_api"),
         output:
@@ -904,6 +992,8 @@ elif OSM_DATASET["source"] == "build":
 if (NATURA_DATASET := dataset_version("natura"))["source"] in ["archive"]:
 
     rule retrieve_natura:
+        message:
+            "Retrieving Natura 2000 raster data"
         input:
             storage(NATURA_DATASET["url"]),
         output:
@@ -916,6 +1006,8 @@ if (NATURA_DATASET := dataset_version("natura"))["source"] in ["archive"]:
 elif NATURA_DATASET["source"] == "build":
 
     rule build_natura_raster:
+        message:
+            "Building Natura 2000 raster data"
         input:
             online=storage(NATURA_DATASET["url"]),
             cutout=lambda w: input_cutout(w),
@@ -936,6 +1028,8 @@ if (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in [
 ]:
 
     rule retrieve_osm_boundaries:
+        message:
+            "Retrieving OSM admin boundaries for {wildcards.country}"
         output:
             json=f"{OSM_BOUNDARIES_DATASET['folder']}/{country}_adm1.json",
         log:
@@ -949,6 +1043,8 @@ elif (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in
 ]:
 
     rule retrieve_osm_boundaries:
+        message:
+            "Retrieving OSM admin boundaries data"
         input:
             storage(
                 f"{OSM_BOUNDARIES_DATASET['url']}",
@@ -972,6 +1068,8 @@ if (
 )["source"] in ["primary", "archive"]:
 
     rule retrieve_geothermal_heat_utilisation_potentials:
+        message:
+            "Retrieving geothermal heat utilisation potentials"
         input:
             isi_heat_potentials=storage(
                 GEOTHERMAL_HEAT_UTILISATION_POTENTIALS_DATASET["url"]
@@ -992,6 +1090,8 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
 ]:
 
     rule retrieve_lau_regions:
+        message:
+            "Retrieving Local Administrative Units and Administation Unit regions"
         input:
             lau_regions=storage(LAU_REGIONS_DATASET["url"]),
         output:
@@ -1004,6 +1104,8 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
             copy2(input["lau_regions"], output["zip"])
 
     rule retrieve_seawater_temperature:
+        message:
+            "Retrieving seawater temperature data for {wildcards.year}"
         params:
             default_cutout=config_provider("atlite", "default_cutout"),
         output:
@@ -1016,6 +1118,8 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
             "../scripts/retrieve_seawater_temperature.py"
 
     rule retrieve_hera_data_test_cutout:
+        message:
+            "Retrieving HERA test cutout data"
         input:
             hera_data_url=storage(
                 f"https://zenodo.org/records/15828866/files/hera_be_2013-03-01_to_2013-03-08.zip"
@@ -1034,6 +1138,8 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
             unpack_archive(input[0], params.folder)
 
     rule retrieve_hera_data:
+        message:
+            "Retrieving HERA data for {wildcards.year}"
         input:
             river_discharge=storage(
                 "https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/CEMS-EFAS/HERA/VER1-0/Data/NetCDF/river_discharge/dis.HERA{year}.nc"
@@ -1061,6 +1167,8 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
 ]:
 
     rule retrieve_jrc_ardeco:
+        message:
+            "Retrieving JRC ARDECO data"
         input:
             ardeco_gdp=storage(
                 f"{JRC_ARDECO_DATASET['url']}/SUVGDP?versions=2021&unit=EUR&format=csv-table"
@@ -1079,6 +1187,8 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
 elif (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in ["archive"]:
 
     rule retrieve_jrc_ardeco:
+        message:
+            "Retrieving JRC ARDECO data"
         input:
             ardeco_gdp=storage(
                 f"{JRC_ARDECO_DATASET['url']}/ARDECO-SUVGDP.2021.table.csv"
@@ -1101,6 +1211,8 @@ if (AQUIFER_DATA_DATASET := dataset_version("aquifer_data"))["source"] in [
 ]:
 
     rule retrieve_aquifer_data_bgr:
+        message:
+            "Retrieving BGR aquifer data"
         input:
             zip_file=storage(AQUIFER_DATA_DATASET["url"]),
         output:
@@ -1131,6 +1243,8 @@ if (DH_AREAS_DATASET := dataset_version("dh_areas"))["source"] in [
 ]:
 
     rule retrieve_dh_areas:
+        message:
+            "Retrieving District Heating areas"
         input:
             dh_areas=storage(DH_AREAS_DATASET["url"]),
         output:
@@ -1146,6 +1260,8 @@ if (MOBILITY_PROFILES_DATASET := dataset_version("mobility_profiles"))["source"]
 ]:
 
     rule retrieve_mobility_profiles:
+        message:
+            "Retrieving mobility profiles data"
         input:
             kfz=storage(MOBILITY_PROFILES_DATASET["url"] + "/kfz.csv"),
             pkw=storage(MOBILITY_PROFILES_DATASET["url"] + "/pkw.csv"),
diff --git a/rules/solve_electricity.smk b/rules/solve_electricity.smk
index e94db1e90..61bc3f8a2 100644
--- a/rules/solve_electricity.smk
+++ b/rules/solve_electricity.smk
@@ -4,6 +4,8 @@
 
 
 rule solve_network:
+    message:
+        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     params:
         solving=config_provider("solving"),
         foresight=config_provider("foresight"),
@@ -35,6 +37,8 @@ rule solve_network:
 
 
 rule solve_operations_network:
+    message:
+        "Solving electricity network operations optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     params:
         options=config_provider("solving", "options"),
         solving=config_provider("solving"),
diff --git a/rules/solve_myopic.smk b/rules/solve_myopic.smk
index fa815ee4a..6c99c1c70 100644
--- a/rules/solve_myopic.smk
+++ b/rules/solve_myopic.smk
@@ -4,6 +4,8 @@
 
 
 rule add_existing_baseyear:
+    message:
+        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         baseyear=config_provider("scenario", "planning_horizons", 0),
         sector=config_provider("sector"),
@@ -58,6 +60,8 @@ def input_profile_tech_brownfield(w):
 
 
 rule add_brownfield:
+    message:
+        "Adding brownfield constraints for existing infrastructure for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         H2_retrofit=config_provider("sector", "H2_retrofit"),
         H2_retrofit_capacity_per_CH4=config_provider(
@@ -101,6 +105,8 @@ ruleorder: add_existing_baseyear > add_brownfield
 
 
 rule solve_sector_network_myopic:
+    message:
+        "Solving sector-coupled network with myopic foresight for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         solving=config_provider("solving"),
         foresight=config_provider("foresight"),
diff --git a/rules/solve_overnight.smk b/rules/solve_overnight.smk
index 8a4830e0c..056ad6b3f 100644
--- a/rules/solve_overnight.smk
+++ b/rules/solve_overnight.smk
@@ -4,6 +4,8 @@
 
 
 rule solve_sector_network:
+    message:
+        "Solving sector-coupled network with overnight investment optimization for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         solving=config_provider("solving"),
         foresight=config_provider("foresight"),
diff --git a/rules/solve_perfect.smk b/rules/solve_perfect.smk
index c1d7aec4b..76bed28d6 100644
--- a/rules/solve_perfect.smk
+++ b/rules/solve_perfect.smk
@@ -2,6 +2,8 @@
 #
 # SPDX-License-Identifier: MIT
 rule add_existing_baseyear:
+    message:
+        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         baseyear=config_provider("scenario", "planning_horizons", 0),
         sector=config_provider("sector"),
@@ -58,6 +60,8 @@ def input_network_year(w):
 
 
 rule prepare_perfect_foresight:
+    message:
+        "Preparing data for perfect foresight optimization for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         costs=config_provider("costs"),
         time_resolution=config_provider("clustering", "temporal", "sector"),
@@ -85,6 +89,8 @@ rule prepare_perfect_foresight:
 
 
 rule solve_sector_network_perfect:
+    message:
+        "Solving sector-coupled network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     params:
         solving=config_provider("solving"),
         foresight=config_provider("foresight"),
@@ -136,6 +142,8 @@ def input_networks_make_summary_perfect(w):
 
 
 rule make_summary_perfect:
+    message:
+        "Creating summary for perfect foresight optimization results"
     input:
         unpack(input_networks_make_summary_perfect),
         costs=resources("costs_2020_processed.csv"),

From a81e1002e5edda57d65be57a109f08b8bcbb55d9 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Sun, 18 Jan 2026 23:55:01 +0100
Subject: [PATCH 17/42] process eurostat energy balances via API

---
 config/config.default.yaml                    |   2 +-
 data/versions.csv                             |   5 +-
 doc/data_inventory.csv                        |   2 +-
 doc/release_notes.rst                         |   4 +
 rules/build_sector.smk                        |   8 +-
 rules/postprocess.smk                         |   2 +-
 rules/retrieve.smk                            |   8 +-
 scripts/build_biomass_potentials.py           |  54 +-
 scripts/build_energy_totals.py                | 475 ++++--------------
 ...build_industrial_production_per_country.py |  57 +--
 scripts/prepare_sector_network.py             |   2 +-
 11 files changed, 179 insertions(+), 440 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index c3ff3d9dd..f3acea82a 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1279,7 +1279,7 @@ data:
     source: archive
     version: latest
   eurostat_balances:
-    source: archive
+    source: primary
     version: latest
   eurostat_household_balances:
     source: archive
diff --git a/data/versions.csv b/data/versions.csv
index 1d079b37f..600a2b09f 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -18,10 +18,9 @@
 "eu_nuts2013","primary","2015-12-03","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2013-03m.geojson.zip"," "
 "eu_nuts2021","archive","2021-01-01","['latest', 'supported']","https://zenodo.org/records/15846440/files/ref-nuts-2021-01m.geojson.zip",""
 "eu_nuts2021","primary","2021-01-01","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2021-01m.geojson.zip",""
-"eurostat_balances","archive","2023-04","['latest', 'supported']","https://zenodo.org/records/15849144/files/balances.zip",""
-"eurostat_balances","primary","2023-04","['latest', 'supported', 'broken link']","https://ec.europa.eu/eurostat/documents/38154/4956218/Balances-April2023.zip","The link is broken, use the archived versions instead."
+"eurostat_balances","primary","2026-01","['latest', 'supported']","https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nrg_bal_c?format=TSV&compressed=true",""
 "eurostat_household_balances","archive","2025-07-09","['latest', 'supported']","https://zenodo.org/records/15849673/files/nrg_d_hhq.csv",""
-"eurostat_household_balances","primary","unknown","['latest', 'supported']","https://ec.europa.eu/eurostat/databrowser-backend/api/extraction/1.0/LIVE/false/sdmx/csv/nrg_d_hhq__custom_11480365?startPeriod=2013&endPeriod=2022","URL limits the period to 2013-2022, but the data is updated regularly."
+"eurostat_household_balances","primary","unknown","['latest', 'supported']","https://ec.europa.eu/eurostat/databrowser-backend/api/extraction/1.0/LIVE/false/sdmx/csv/nrg_d_hhq__custom_11480365?startPeriod=2013&endPeriod=2024","URL limits the period to 2013-2022, but the data is updated regularly."
 "osm","archive","0.1","['deprecated', 'not-supported']","https://zenodo.org/records/12799202",""
 "osm","archive","0.2","['deprecated', 'not-supported']","https://zenodo.org/records/13342577",""
 "osm","archive","0.3","['deprecated', 'not-supported']","https://zenodo.org/records/13358976",""
diff --git a/doc/data_inventory.csv b/doc/data_inventory.csv
index 133ce39d6..27779f894 100644
--- a/doc/data_inventory.csv
+++ b/doc/data_inventory.csv
@@ -7,7 +7,7 @@
 "nitrogen_statistics","Nitrogen Statistics and Information","Statistics and information on the worldwide supply of, demand for, and flow of the mineral commodity nitrogen.","United States Geological Survey (USGS)","https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information","Public Domain"
 "eu_nuts2013","Nomenclature of Territorial Units for Statistics (NUTS) 2013 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2013, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
 "eu_nuts2021","Nomenclature of Territorial Units for Statistics (NUTS) 2021 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2021, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
-"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","https://ec.europa.eu/eurostat/data/database","Reuse policy following 2011/833/EU ; newer versions of the same data are available as CC-BY-4.0 through the eurostat API"
+"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","https://ec.europa.eu/eurostat/data/database","CC-BY-4.0"
 "eurostat_household_balances","Eurostat Household Energy Balances","Disaggregated final energy consumption in household - quantities (nrg_d_hhq)","eurostat","https://ec.europa.eu/eurostat/databrowser/product/page/NRG_D_HHQ","CC-BY-4.0"
 "luisa_land_cover","The LUISA base map 2018","The LUISA Base Map 2018 is a high-resolution land use/land cover map developed and produced by the Joint Research Centre of the European Commission","European Commission Joint Research Centre","https://data.jrc.ec.europa.eu/dataset/51858b51-8f27-4006-bf82-53eba35a142c","CC-BY-4.0"
 "jrc_idees","JRC-IDEES-2021","The JRC-IDEES-2021 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.", "European Commission Joint Research Centre", "https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5", "CC-BY-4.0"
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index f73782c3a..2f813c348 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,10 @@ Release Notes
 Upcoming Release
 ================
 
+* Download and process Eurostat energy balances from API. This replaces the discontinued ZIP bulk download.
+
+* The function `rescale_idees_from_eurostat` was removed.
+
 * Important: PyPSA-Eur now uses a validation schema for configuration files. The schema 
   also contains the default values for all known configuration options, which means 
   `config/config.default.yaml` still exists and can be used, but will be automatically
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index 046eae824..33092184f 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -791,7 +791,7 @@ rule build_energy_totals:
         swiss_transport=f"{BFS_ROAD_VEHICLE_STOCK_DATASET['folder']}/vehicle_stock.csv",
         idees=rules.retrieve_jrc_idees.output["directory"],
         district_heat_share="data/district_heat_share.csv",
-        eurostat=rules.retrieve_eurostat_balances.output["directory"],
+        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
         eurostat_households=rules.retrieve_eurostat_household_balances.output["csv"],
     output:
         transformation_output_coke=resources("transformation_output_coke.csv"),
@@ -859,7 +859,7 @@ rule build_biomass_potentials:
         biomass=config_provider("biomass"),
     input:
         enspreso_biomass=rules.retrieve_enspreso_biomass.output["xlsx"],
-        eurostat=rules.retrieve_eurostat_balances.output["directory"],
+        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
         nuts2=rules.retrieve_eu_nuts_2013.output["shapes_level_2"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         nuts3_population=ancient(rules.retrieve_nuts3_population.output["gz"]),
@@ -1049,7 +1049,7 @@ rule build_industrial_production_per_country:
     input:
         ch_industrial_production="data/ch_industrial_production_per_subsector.csv",
         ammonia_production=resources("ammonia_production.csv"),
-        eurostat=rules.retrieve_eurostat_balances.output["directory"],
+        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
         jrc=rules.retrieve_jrc_idees.output["directory"],
     output:
         industrial_production_per_country=resources(
@@ -1595,7 +1595,7 @@ rule prepare_sector_network:
             else []
         ),
         network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
-        eurostat=rules.retrieve_eurostat_balances.output["directory"],
+        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
         pop_weighted_energy_totals=resources(
             "pop_weighted_energy_totals_s_{clusters}.csv"
         ),
diff --git a/rules/postprocess.smk b/rules/postprocess.smk
index 3a8379de6..18b9a5a72 100644
--- a/rules/postprocess.smk
+++ b/rules/postprocess.smk
@@ -449,7 +449,7 @@ rule plot_summary:
         costs=RESULTS + "csvs/costs.csv",
         energy=RESULTS + "csvs/energy.csv",
         balances=RESULTS + "csvs/energy_balance.csv",
-        eurostat=rules.retrieve_eurostat_balances.output["directory"],
+        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
         co2=rules.retrieve_ghg_emissions.output["csv"],
     output:
         costs=RESULTS + "graphs/costs.svg",
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 8861f78d4..1cdbdd6e5 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -31,13 +31,11 @@ if (EUROSTAT_BALANCES_DATASET := dataset_version("eurostat_balances"))["source"]
         message:
             "Retrieving Eurostat balances data"
         input:
-            zip_file=storage(EUROSTAT_BALANCES_DATASET["url"]),
+            tsv_gz=storage(EUROSTAT_BALANCES_DATASET["url"]),
         output:
-            zip_file=f"{EUROSTAT_BALANCES_DATASET['folder']}/balances.zip",
-            directory=directory(EUROSTAT_BALANCES_DATASET["folder"]),
+            tsv_gz=f"{EUROSTAT_BALANCES_DATASET['folder']}/estat_nrg_bal_c.tsv.gz",
         run:
-            copy2(input["zip_file"], output["zip_file"])
-            unpack_archive(output["zip_file"], output["directory"])
+            copy2(input["tsv_gz"], output["tsv_gz"])
 
 
 if (
diff --git a/scripts/build_biomass_potentials.py b/scripts/build_biomass_potentials.py
index a5373d10a..8fabaed61 100755
--- a/scripts/build_biomass_potentials.py
+++ b/scripts/build_biomass_potentials.py
@@ -246,7 +246,7 @@ def convert_nuts2_to_regions(bio_nuts2, regions):
     return bio_regions
 
 
-def add_unsustainable_potentials(df):
+def add_unsustainable_potentials(df, input_eurostat):
     """
     Add unsustainable biomass potentials to the given dataframe. The difference
     between the data of JRC and Eurostat is assumed to be unsustainable
@@ -269,36 +269,29 @@ def add_unsustainable_potentials(df):
     else:
         latest_year = 2021
     idees_rename = {"GR": "EL", "GB": "UK"}
+    year = max(min(latest_year, int(snakemake.wildcards.planning_horizons)), 1990)  # noqa: F841
     df_unsustainable = (
-        build_eurostat(
-            countries=snakemake.config["countries"],
-            input_eurostat=snakemake.input.eurostat,
-            nprocesses=int(snakemake.threads),
-        )
-        .xs(
-            max(min(latest_year, int(snakemake.wildcards.planning_horizons)), 1990),
-            level=1,
-        )
-        .xs("Primary production", level=2)
-        .droplevel([1, 2, 3])
+        build_eurostat(input_eurostat)
+        .query("year == @year and nrg_bal == 'PPRD'")  # Primary production
+        .set_index(["country", "siec"])
+        .value.unstack("siec")
     )
 
-    df_unsustainable.index = df_unsustainable.index.str.strip()
     df_unsustainable = df_unsustainable.rename(
         {v: k for k, v in idees_rename.items()}, axis=0
     )
 
     bio_carriers = [
-        "Primary solid biofuels",
-        "Biogases",
-        "Renewable municipal waste",
-        "Pure biogasoline",
-        "Blended biogasoline",
-        "Pure biodiesels",
-        "Blended biodiesels",
-        "Pure bio jet kerosene",
-        "Blended bio jet kerosene",
-        "Other liquid biofuels",
+        "R5110-5150_W6000RI",  # Primary solid biofuels
+        "R5300",  # Biogases
+        "W6210",  # Renewable municipal waste
+        "R5210P",  # Pure biogasoline
+        "R5210B",  # Blended biogasoline
+        "R5220P",  # Pure biodiesels
+        "R5220B",  # Blended biodiesels
+        "R5230P",  # Pure bio jet kerosene
+        "R5230B",  # Blended bio jet kerosene
+        "R5290",  # Other liquid biofuels
     ]
 
     df_unsustainable = df_unsustainable[bio_carriers]
@@ -310,12 +303,18 @@ def add_unsustainable_potentials(df):
 
     # Calculate unsustainable solid biomass
     df_wo_ch["unsustainable solid biomass"] = _calc_unsustainable_potential(
-        df_wo_ch, df_unsustainable, share_unsus, "Primary solid biofuels"
+        df_wo_ch,
+        df_unsustainable,
+        share_unsus,
+        "R5110-5150_W6000RI",  # Primary solid biofuels
     )
 
     # Calculate unsustainable biogas
     df_wo_ch["unsustainable biogas"] = _calc_unsustainable_potential(
-        df_wo_ch, df_unsustainable, share_unsus, "Biogases"
+        df_wo_ch,
+        df_unsustainable,
+        share_unsus,
+        "R5300",  # Biogases
     )
 
     # Calculate unsustainable bioliquids
@@ -323,7 +322,7 @@ def add_unsustainable_potentials(df):
         df_wo_ch,
         df_unsustainable,
         share_unsus,
-        resource_type="gasoline|diesel|kerosene|liquid",
+        resource_type="R5210|R5220|R5230|R5290",  # gasoline, diesel, kerosene, liquids
     )
 
     share_sus = params.get("share_sustainable_potential_available").get(investment_year)
@@ -391,7 +390,8 @@ def add_unsustainable_potentials(df):
     grouper = {v: k for k, vv in params["classes"].items() for v in vv}
     df = df.T.groupby(grouper).sum().T
 
-    df = add_unsustainable_potentials(df)
+    input_eurostat = snakemake.input.eurostat
+    df = add_unsustainable_potentials(df, input_eurostat)
 
     df *= 1e6  # TWh/a to MWh/a
     df.index.name = "MWh/a"
diff --git a/scripts/build_energy_totals.py b/scripts/build_energy_totals.py
index a5241e585..a3e2d43de 100644
--- a/scripts/build_energy_totals.py
+++ b/scripts/build_energy_totals.py
@@ -6,7 +6,7 @@
 eurostat, and EEA data.
 
 - Country-specific data is read in :func:`build_eurostat`, :func:`build_idees` and `build_swiss`.
-- :func:`build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data and :func:`rescale_idees_from_eurostat` rescales IDEES data to match Eurostat data.
+- :func:`build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data.
 - :func:`build_district_heat_share` calculates the share of district heating for each country from IDEES data.
 - Historical CO2 emissions are calculated in :func:`build_eea_co2` and :func:`build_eurostat_co2` and combined in :func:`build_co2_totals`.
 
@@ -119,136 +119,58 @@ def reverse(dictionary: dict) -> dict:
 }
 
 
-def eurostat_per_country(input_eurostat: str, country: str) -> pd.DataFrame:
-    """
-    Read energy balance data for a specific country from Eurostat.
-
-    Parameters
-    ----------
-    input_eurostat : str
-        Path to the directory containing Eurostat data files.
-    country : str
-        Country code for the specific country.
-
-    Returns
-    -------
-    pd.DataFrame
-        Concatenated energy balance data for the specified country.
-
-    Notes
-    -----
-    - The function reads `<input_eurostat>/<country>.-Energy-balance-sheets-April-2023-edition.xlsb`
-    - It removes the "Cover" sheet from the data and concatenates all the remaining sheets into a single DataFrame.
-    """
-
-    filename = (
-        f"{input_eurostat}/{country}-Energy-balance-sheets-April-2023-edition.xlsb"
-    )
-    sheet = pd.read_excel(
-        filename,
-        engine="pyxlsb",
-        sheet_name=None,
-        skiprows=4,
-        index_col=list(range(4)),
-        na_values=":",
-    )
-    sheet.pop("Cover")
-    return pd.concat(sheet)
-
-
 def build_eurostat(
     input_eurostat: str,
-    countries: list[str],
-    nprocesses: int = 1,
-    disable_progressbar: bool = False,
 ) -> pd.DataFrame:
     """
-    Return multi-index for all countries' energy data in TWh/a.
+    Return long-format energy balances for all countries in TWh/a.
 
     Parameters
     ----------
     input_eurostat : str
         Path to the Eurostat database.
-    countries : list[str]
-        List of countries for which energy data is to be retrieved.
-    nprocesses : int, optional
-        Number of processes to use for parallel execution, by default 1.
-    disable_progressbar : bool, optional
-        Whether to disable the progress bar, by default False.
 
     Returns
     -------
     pd.DataFrame
-        Multi-index DataFrame containing energy data for all countries in TWh/a.
-
-    Notes
-    -----
-    - The function first renames the countries in the input list using the `idees_rename` mapping and removes "CH".
-    - It then reads country-wise data using :func:`eurostat_per_country` into a single DataFrame.
-    - The data is reordered, converted to TWh/a, and missing values are filled.
+        Long-format DataFrame containing energy data for all countries in TWh/a.
     """
 
-    countries = {idees_rename.get(country, country) for country in countries} - {"CH"}
+    raw = pd.read_csv(
+        input_eurostat,
+        sep=",|\t| [^ ]?\t",
+        engine="python",
+        na_values=[":", ": m", 0.0],
+    ).rename(columns={"geo\\TIME_PERIOD": "country"})
+
+    df = raw.melt(
+        id_vars=["freq", "nrg_bal", "siec", "unit", "country"],
+        var_name="year",
+        value_name="value",
+    ).query("unit == 'GWH'")
+
+    # Clean up formatting
+    df["year"] = df["year"].astype(int)
+    df.drop(["freq", "unit"], axis=1, inplace=True)
+
+    # For total and fossil energy, fill in missing values with
+    # closest non-missing value in year index
+    for country in df.country.unique():
+        mask = (
+            (df["country"] == country)
+            & (df["nrg_bal"] == "FC_TRA_DAVI_E")
+            & (df["siec"].isin(["TOTAL", "FE"]))
+        )
 
-    func = partial(eurostat_per_country, input_eurostat)
-    tqdm_kwargs = dict(
-        ascii=False,
-        unit=" country",
-        total=len(countries),
-        desc="Build from eurostat database",
-        disable=disable_progressbar,
-    )
-    with mute_print():
-        with mp.Pool(processes=nprocesses) as pool:
-            dfs = list(tqdm(pool.imap(func, countries), **tqdm_kwargs))
-
-    index_names = ["country", "year", "lvl1", "lvl2", "lvl3", "lvl4"]
-    df = pd.concat(dfs, keys=countries, names=index_names)
-    df.index = df.index.set_levels(df.index.levels[1].astype(int), level=1)
-
-    # drop columns with all NaNs
-    unnamed_cols = df.columns[df.columns.astype(str).str.startswith("Unnamed")]
-    df.drop(unnamed_cols, axis=1, inplace=True)
-    df.drop(list(range(1990, 2022)), axis=1, inplace=True, errors="ignore")
-
-    # make numeric values where possible
-    df.replace("Z", 0, inplace=True)
-    df = df.apply(pd.to_numeric, errors="coerce")
-    df = df.select_dtypes(include=[np.number])
-
-    # write 'International aviation' to the lower level of the multiindex
-    int_avia = df.index.get_level_values(3) == "International aviation"
-    temp = df.loc[int_avia]
-    temp.index = pd.MultiIndex.from_frame(
-        temp.index.to_frame().fillna("International aviation")
-    )
-    df = pd.concat([temp, df.loc[~int_avia]]).sort_index()
-
-    # Fill in missing data on "Domestic aviation" for each country.
-    for country in countries:
-        slicer = idx[country, :, :, :, "Domestic aviation"]
-        # For the Total and Fossil energy columns, fill in zeros with
-        # the closest non-zero value in the year index.
-        for col in ["Total", "Fossil energy"]:
-            df.loc[slicer, col] = (
-                df.loc[slicer, col].replace(0.0, np.nan).ffill().bfill()
-            )
+        df.loc[mask, "value"] = (
+            df[mask].groupby("siec")["value"].transform(lambda x: x.ffill().bfill())
+        )
 
-    # Renaming some indices
-    index_rename = {
-        "Households": "Residential",
-        "Commercial & public services": "Services",
-        "Domestic navigation": "Domestic Navigation",
-        "International maritime bunkers": "Bunkers",
-        "UK": "GB",
-        "EL": "GR",
-    }
-    columns_rename = {"Total": "Total all products"}
-    df.rename(index=index_rename, columns=columns_rename, inplace=True)
-    df.sort_index(inplace=True)
+    # Follow JRC-IDEES country code convention
+    df["country"] = df["country"].replace({"UK": "GB", "EL": "GR"})
 
-    # convert to TWh/a from ktoe/a
-    df *= 11.63 / 1e3
+    # Convert from GWh to TWh
+    df["value"] = df["value"] / 1000
 
     return df
 
@@ -679,9 +601,8 @@ def build_energy_totals(
     - `Norway heating data <http://www.ssb.no/en/energi-og-industri/statistikker/husenergi/hvert-3-aar/2014-07-14>`_
     """
 
-    eurostat_fuels = {"electricity": "Electricity", "total": "Total all products"}
-    eurostat_countries = eurostat.index.unique(0)
-    eurostat_years = eurostat.index.unique(1)
+    eurostat_countries = eurostat.country.unique()
+    eurostat_years = eurostat.year.unique()
 
     new_index = pd.MultiIndex.from_product(
         [countries, eurostat_years], names=["country", "year"]
@@ -697,8 +618,11 @@ def build_energy_totals(
 
     # add international navigation
 
-    slicer = idx[in_eurostat, :, :, "Bunkers", :]
-    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
+    fill_values = (
+        eurostat.query("nrg_bal == 'INTMARB' and siec == 'TOTAL'")
+        .groupby(["country", "year"])
+        .value.sum(min_count=1)
+    )
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[in_eurostat, "total international navigation"] = fill_values
@@ -719,10 +643,11 @@ def build_energy_totals(
     y = to_fill.get_level_values("year")
 
     # take total final energy consumption from Eurostat
-    eurostat_sector = "Agriculture & forestry"
-    slicer = idx[c, y, :, :, eurostat_sector]
-
-    fill_values = eurostat.loc[slicer]["Total all products"].groupby(level=[0, 1]).sum()
+    fill_values = (
+        eurostat.query("nrg_bal == 'FC_OTH_AF_E' and siec == 'TOTAL'")
+        .groupby(["country", "year"])
+        .value.sum(min_count=1)
+    )
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total agriculture"] = fill_values
@@ -746,18 +671,24 @@ def build_energy_totals(
         df["total residential"].isna()
         & df.index.get_level_values("country").isin(eurostat_countries)
     ]
-    c = to_fill.get_level_values("country")
-    y = to_fill.get_level_values("year")
-
-    for sector in ["residential", "services", "road", "rail"]:
-        eurostat_sector = sector.capitalize()
-
+    c = to_fill.get_level_values("country")  # noqa: F841
+    y = to_fill.get_level_values("year")  # noqa: F841
+
+    for sector, s in [
+        ("residential", "FC_OTH_HH_E"),
+        ("services", "FC_OTH_CP_E"),
+        ("road", "FC_TRA_ROAD_E"),
+        ("rail", "FC_TRA_RAIL_E"),
+    ]:
         # fuel use
 
-        for fuel in ["electricity", "total"]:
-            slicer = idx[c, y, :, :, eurostat_sector]
+        for fuel, f in [("electricity", "E7000"), ("total", "TOTAL")]:
             fill_values = (
-                eurostat.loc[slicer, eurostat_fuels[fuel]].groupby(level=[0, 1]).sum()
+                eurostat.query(
+                    "nrg_bal == @s and siec == @f and country in @c and year in @y"
+                )
+                .groupby(["country", "year"])
+                .value.sum(min_count=1)
             )
             # fill missing years for some countries by mean over the other years
             fill_values = fill_missing_years(fill_values)
@@ -834,22 +765,31 @@ def build_energy_totals(
 
     # Missing aviation
 
-    slicer = idx[c, y, :, :, "Domestic aviation"]
-    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
+    fill_values = (
+        eurostat.query("nrg_bal == 'FC_TRA_DAVI_E' and siec == 'TOTAL'")
+        .groupby(["country", "year"])
+        .value.sum(min_count=1)
+    )
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total domestic aviation"] = fill_values
 
-    slicer = idx[c, y, :, :, "International aviation"]
-    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
+    fill_values = (
+        eurostat.query("nrg_bal == 'INTAVI' and siec == 'TOTAL'")
+        .groupby(["country", "year"])
+        .value.sum(min_count=1)
+    )
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total international aviation"] = fill_values
 
     # missing domestic navigation
 
-    slicer = idx[c, y, :, :, "Domestic Navigation"]
-    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
+    fill_values = (
+        eurostat.query("nrg_bal == 'FC_TRA_DNAVI_E' and siec == 'TOTAL'")
+        .groupby(["country", "year"])
+        .value.sum(min_count=1)
+    )
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total domestic navigation"] = fill_values
@@ -1092,18 +1032,19 @@ def build_eurostat_co2(eurostat: pd.DataFrame, year: int = 1990) -> pd.Series:
     - `EIA Electricity Annual <https://www.eia.gov/electricity/annual/html/epa_a_03.html>`_
     """
 
-    eurostat_year = eurostat.xs(year, level="year")
-
-    specific_emissions = pd.Series(index=eurostat.columns, dtype=float)
-
-    # emissions in tCO2_equiv per MWh_th
-    specific_emissions["Solid fossil fuels"] = 0.36  # Approximates coal
-    specific_emissions["Oil and petroleum products"] = (
-        0.285  # Average of distillate and residue
+    emissions = pd.Series(
+        {
+            "C0000X0350-0370": 0.36,  # solid fossil fuels
+            "O4000XBIO": 0.285,  # oil and petroleum products
+            "G3000": 0.2,  # natural gas
+        }
+    )
+    return (
+        eurostat.query("year == @year and siec in @emissions.index")
+        .assign(value=lambda df: df["value"] * df["siec"].map(emissions))
+        .groupby(["country", "nrg_bal"])["value"]
+        .sum(min_count=1)
     )
-    specific_emissions["Natural gas"] = 0.2  # For natural gas
-
-    return eurostat_year.multiply(specific_emissions).sum(axis=1)
 
 
 def build_co2_totals(
@@ -1137,24 +1078,23 @@ def build_co2_totals(
         ["BA", "RS", "XK", "AL", "ME", "MK", "UA", "MD"]
     ):
         mappings = {
-            "electricity": (ct, "+", "Electricity & heat generation", np.nan),
-            "residential non-elec": (ct, "+", "+", "Residential"),
-            "services non-elec": (ct, "+", "+", "Services"),
-            "road non-elec": (ct, "+", "+", "Road"),
-            "rail non-elec": (ct, "+", "+", "Rail"),
-            "domestic navigation": (ct, "+", "+", "Domestic Navigation"),
-            "international navigation": (ct, "-", "Bunkers"),
-            "domestic aviation": (ct, "+", "+", "Domestic aviation"),
-            "international aviation": (ct, "-", "International aviation"),
+            "electricity": "TI_EHG_E",
+            "residential non-elec": "FC_OTH_HH_E",
+            "services non-elec": "FC_OTH_CP_E",
+            "road non-elec": "FC_TRA_ROAD_E",
+            "rail non-elec": "FC_TRA_RAIL_E",
+            "domestic navigation": "FC_TRA_DNAVI_E",
+            "international navigation": "INTMARB",
+            "domestic aviation": "FC_TRA_DAVI_E",
+            "international aviation": "INTAVI",
             # does not include industrial process emissions or fuel processing/refining
-            "industrial non-elec": (ct, "+", "Industry sector"),
+            "industrial non-elec": "FC_IND_E",
             # does not include non-energy emissions
-            "agriculture": (eurostat_co2.index.get_level_values(0) == ct)
-            & eurostat_co2.index.isin(["Agriculture & forestry", "Fishing"], level=3),
+            "agriculture": ["FC_OTH_AF_E", "FC_OTH_FISH_E"],
         }
 
         for i, mi in mappings.items():
-            co2.at[ct, i] = eurostat_co2.loc[mi].sum()
+            co2.at[ct, i] = eurostat_co2.loc[ct, mi].sum()
 
     return co2
 
@@ -1261,205 +1201,6 @@ def build_transport_data(
     return transport_data
 
 
-def rescale_idees_from_eurostat(
-    idees_countries: list[str], energy: pd.DataFrame, eurostat: pd.DataFrame
-) -> pd.DataFrame:
-    """
-    Takes JRC IDEES data from 2021 and rescales it by the ratio of the Eurostat
-    data and the 2021 Eurostat data.
-    Missing data: ['passenger car efficiency', 'passenger cars']
-
-    Parameters
-    ----------
-    idees_countries : list[str]
-        List of IDEES country codes.
-    energy : pd.DataFrame
-        DataFrame with JRC IDEES data.
-    eurostat : pd.DataFrame
-        DataFrame with Eurostat data.
-
-    Returns
-    -------
-    pd.DataFrame
-        DataFrame with rescaled IDEES data.
-
-    Notes
-    -----
-    - The function first reads in the Eurostat data for 2015 and calculates the ratio of that data with other Eurostat data.
-    - This ratio is mapped to the IDEES data.
-
-    References
-    ----------
-    - JRC IDEES data: `JRC IDEES <https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/jrc-idees>`_
-    - Eurostat data: `Eurostat <https://ec.europa.eu/eurostat/data/database>`_
-    """
-
-    main_cols = ["Total all products", "Electricity"]
-    # read in the eurostat data for 2015
-    eurostat_2021 = eurostat.xs(2021, level="year")[main_cols]
-    # calculate the ratio of the two data sets
-    ratio = eurostat[main_cols] / eurostat_2021
-    ratio = ratio.droplevel([2, 5])
-    cols_rename = {"Total all products": "total", "Electricity": "ele"}
-    index_rename = {v: k for k, v in idees_rename.items()}
-    ratio.rename(columns=cols_rename, index=index_rename, inplace=True)
-
-    mappings = {
-        "Residential": {
-            "total": [
-                "total residential space",
-                "total residential water",
-                "total residential cooking",
-                "total residential",
-                "distributed heat residential",
-                "thermal uses residential",
-            ],
-            "elec": [
-                "electricity residential space",
-                "electricity residential water",
-                "electricity residential cooking",
-                "electricity residential",
-            ],
-        },
-        "Services": {
-            "total": [
-                "total services space",
-                "total services water",
-                "total services cooking",
-                "total services",
-                "distributed heat services",
-                "thermal uses services",
-            ],
-            "elec": [
-                "electricity services space",
-                "electricity services water",
-                "electricity services cooking",
-                "electricity services",
-            ],
-        },
-        "Agriculture & forestry": {
-            "total": [
-                "total agriculture heat",
-                "total agriculture machinery",
-                "total agriculture",
-            ],
-            "elec": [
-                "total agriculture electricity",
-            ],
-        },
-        "Road": {
-            "total": [
-                "total road",
-                "total passenger cars",
-                "total other road passenger",
-                "total light duty road freight",
-                "total heavy duty road freight",
-            ],
-            "elec": [
-                "electricity road",
-                "electricity passenger cars",
-                "electricity other road passenger",
-                "electricity light duty road freight",
-            ],
-        },
-        "Rail": {
-            "total": [
-                "total rail",
-                "total rail passenger",
-                "total rail freight",
-            ],
-            "elec": [
-                "electricity rail",
-                "electricity rail passenger",
-                "electricity rail freight",
-            ],
-        },
-    }
-
-    avia_inter = [
-        "total aviation passenger",
-        "total aviation freight",
-        "total international aviation passenger",
-        "total international aviation freight",
-        "total international aviation",
-    ]
-    avia_domestic = [
-        "total domestic aviation passenger",
-        "total domestic aviation freight",
-        "total domestic aviation",
-    ]
-    navigation = [
-        "total domestic navigation",
-    ]
-    # international navigation is already read in from the eurostat data directly
-
-    for country in idees_countries:
-        filling_years = [(2015, slice(2016, 2021)), (2000, slice(1990, 1999))]
-
-        for source_year, target_years in filling_years:
-            slicer_source = idx[country, source_year, :, :]
-            slicer_target = idx[country, target_years, :, :]
-
-            for sector, mapping in mappings.items():
-                sector_ratio = ratio.loc[
-                    (country, slice(None), slice(None), sector)
-                ].droplevel("lvl2")
-
-                energy.loc[slicer_target, mapping["total"]] = cartesian(
-                    sector_ratio.loc[target_years, "total"],
-                    energy.loc[slicer_source, mapping["total"]].squeeze(axis=0),
-                ).values
-                energy.loc[slicer_target, mapping["elec"]] = cartesian(
-                    sector_ratio.loc[target_years, "ele"],
-                    energy.loc[slicer_source, mapping["elec"]].squeeze(axis=0),
-                ).values
-
-            level_drops = ["country", "lvl2", "lvl3"]
-
-            slicer = idx[country, :, :, "Domestic aviation"]
-            avi_d = ratio.loc[slicer, "total"].droplevel(level_drops)
-
-            slicer = idx[country, :, :, "International aviation"]
-            avi_i = ratio.loc[slicer, "total"].droplevel(level_drops)
-
-            slicer = idx[country, :, :, "Domestic Navigation"]
-            nav = ratio.loc[slicer, "total"].droplevel(level_drops)
-
-            energy.loc[slicer_target, avia_inter] = cartesian(
-                avi_i.loc[target_years],
-                energy.loc[slicer_source, avia_inter].squeeze(axis=0),
-            ).values
-
-            energy.loc[slicer_target, avia_domestic] = cartesian(
-                avi_d.loc[target_years],
-                energy.loc[slicer_source, avia_domestic].squeeze(axis=0),
-            ).values
-
-            energy.loc[slicer_target, navigation] = cartesian(
-                nav.loc[target_years],
-                energy.loc[slicer_source, navigation].squeeze(axis=0),
-            ).values
-
-        # set the total of agriculture/road to the sum of all agriculture/road categories (corresponding to the IDEES data)
-        rows = idx[country, :]
-        cols = [
-            "total agriculture electricity",
-            "total agriculture heat",
-            "total agriculture machinery",
-        ]
-        energy.loc[rows, "total agriculture"] = energy.loc[rows, cols].sum(axis=1)
-
-        cols = [
-            "total passenger cars",
-            "total other road passenger",
-            "total light duty road freight",
-            "total heavy duty road freight",
-        ]
-        energy.loc[rows, "total road"] = energy.loc[rows, cols].sum(axis=1)
-
-    return energy
-
-
 def update_residential_from_eurostat(energy: pd.DataFrame) -> pd.DataFrame:
     """
     Updates energy balances for residential from disaggregated data from
@@ -1538,9 +1279,10 @@ def build_transformation_output_coke(eurostat, fn):
     The resulting transformation output data for coke ovens is saved as a CSV
     file at the path specified in fn.
     """
-    slicer = pd.IndexSlice[:, :, :, "Coke ovens", "Other sources", :]
-    df = eurostat.loc[slicer, :].droplevel(level=[2, 3, 4, 5])
-    df.to_csv(fn)
+
+    eurostat.query("nrg_bal == 'TO_CO'").set_index(["country", "year", "siec"])[
+        "value"
+    ].unstack("siec").to_csv(fn)
 
 
 def build_heating_efficiencies(
@@ -1612,12 +1354,7 @@ def build_heating_efficiencies(
     idees_countries = pd.Index(countries).intersection(eu27)
 
     input_eurostat = snakemake.input.eurostat
-    eurostat = build_eurostat(
-        input_eurostat,
-        countries,
-        nprocesses=snakemake.threads,
-        disable_progressbar=snakemake.config["run"].get("disable_progressbar", False),
-    )
+    eurostat = build_eurostat(input_eurostat)
 
     build_transformation_output_coke(
         eurostat, snakemake.output.transformation_output_coke
diff --git a/scripts/build_industrial_production_per_country.py b/scripts/build_industrial_production_per_country.py
index 8282ca3a6..3a5309443 100644
--- a/scripts/build_industrial_production_per_country.py
+++ b/scripts/build_industrial_production_per_country.py
@@ -51,6 +51,7 @@
 from tqdm import tqdm
 
 from scripts._helpers import configure_logging, mute_print, set_scenario_config
+from scripts.build_energy_totals import build_eurostat
 
 logger = logging.getLogger(__name__)
 cc = coco.CountryConverter()
@@ -134,17 +135,17 @@
 }
 
 eb_sectors = {
-    "Iron & steel": "Iron and steel",
-    "Chemical & petrochemical": "Chemical industry",
-    "Non-ferrous metals": "Non-metallic mineral products",
-    "Paper, pulp & printing": "Pulp, paper and printing",
-    "Food, beverages & tobacco": "Food, beverages and tobacco",
-    "Non-metallic minerals": "Non Ferrous Metals",
-    "Transport equipment": "Transport equipment",
-    "Machinery": "Machinery equipment",
-    "Textile & leather": "Textiles and leather",
-    "Wood & wood products": "Wood and wood products",
-    "Not elsewhere specified (industry)": "Other industrial sectors",
+    "FC_IND_IS_E": "Iron and steel",
+    "FC_IND_CPC_E": "Chemical industry",
+    "FC_IND_NFM_E": "Non Ferrous Metals",
+    "FC_IND_NMM_E": "Non-metallic mineral products",
+    "FC_IND_TE_E": "Transport equipment",
+    "FC_IND_MAC_E": "Machinery equipment",
+    "FC_IND_FBT_E": "Food, beverages and tobacco",
+    "FC_IND_PPP_E": "Pulp, paper and printing",
+    "FC_IND_WP_E": "Wood and wood products",
+    "FC_IND_TL_E": "Textiles and leather",
+    "FC_IND_NSP_E": "Other industrial sectors",
 }
 
 
@@ -170,27 +171,25 @@ def find_physical_output(df):
     return slice(start, end)
 
 
-def get_energy_ratio(country, eurostat_dir, jrc_dir, year, snakemake):
+def get_energy_ratio(country, eurostat, jrc_dir, year, snakemake):
     if country == "CH":
         # data ranges between 2014-2023
         e_country = pd.read_csv(
             snakemake.input.ch_industrial_production, index_col=0
         ).dropna()
         e_country = e_country.rename(index=ch_mapping).groupby(level=0).sum()
-        e_country = e_country[str(min(2019, year))]
+        e_country = e_country[str(year)]
         e_country *= tj_to_ktoe
     else:
-        ct_eurostat = country.replace("GB", "UK")
         # estimate physical output, energy consumption in the sector and country
-        fn = f"{eurostat_dir}/{ct_eurostat}-Energy-balance-sheets-April-2023-edition.xlsb"
-        df = pd.read_excel(
-            fn,
-            sheet_name=str(min(2019, year)),
-            index_col=2,
-            header=0,
-            skiprows=4,
+        e_country = (
+            eurostat.query(
+                "year == @year and country == @country and "
+                "siec == 'TOTAL' and nrg_bal == @eb_sectors.keys()"
+            )
+            .set_index("nrg_bal")
+            .value.rename(eb_sectors)
         )
-        e_country = df.loc[eb_sectors.keys(), "Total"].rename(eb_sectors)
 
     fn = f"{jrc_dir}/EU27/JRC-IDEES-2021_Industry_EU27.xlsx"
 
@@ -209,7 +208,7 @@ def get_energy_ratio(country, eurostat_dir, jrc_dir, year, snakemake):
     return pd.Series({k: e_ratio[v] for k, v in sub2sect.items()})
 
 
-def industry_production_per_country(country, year, eurostat_dir, jrc_dir, snakemake):
+def industry_production_per_country(country, year, eurostat, jrc_dir, snakemake):
     def get_sector_data(sector, country):
         jrc_country = jrc_names.get(country, country)
         fn = f"{jrc_dir}/{jrc_country}/JRC-IDEES-2021_Industry_{jrc_country}.xlsx"
@@ -233,7 +232,7 @@ def get_sector_data(sector, country):
     if country not in eu27:
         demand *= get_energy_ratio(
             country,
-            eurostat_dir,
+            eurostat,
             jrc_dir,
             year,
             snakemake,
@@ -244,14 +243,14 @@ def get_sector_data(sector, country):
     return demand
 
 
-def industry_production(countries, year, eurostat_dir, jrc_dir):
+def industry_production(countries, year, eurostat, jrc_dir):
     nprocesses = snakemake.threads
     disable_progress = snakemake.config["run"].get("disable_progressbar", False)
 
     func = partial(
         industry_production_per_country,
         year=year,
-        eurostat_dir=eurostat_dir,
+        eurostat=eurostat,
         jrc_dir=jrc_dir,
         snakemake=snakemake,
     )
@@ -327,9 +326,11 @@ def separate_basic_chemicals(demand, year):
     params = snakemake.params.industry
 
     jrc_dir = snakemake.input.jrc
-    eurostat_dir = snakemake.input.eurostat
+    input_eurostat = snakemake.input.eurostat
+
+    eurostat = build_eurostat(input_eurostat)
 
-    demand = industry_production(countries, year, eurostat_dir, jrc_dir)
+    demand = industry_production(countries, year, eurostat, jrc_dir)
 
     separate_basic_chemicals(demand, year)
 
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 5f45d6d94..5d7d4ef8f 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -255,7 +255,7 @@ def co2_emissions_year(
     """
     eea_co2 = build_eea_co2(input_co2, year, emissions_scope)
 
-    eurostat = build_eurostat(input_eurostat, countries)
+    eurostat = build_eurostat(input_eurostat)
 
     # this only affects the estimation of CO2 emissions for BA, RS, AL, ME, MK, XK
     eurostat_co2 = build_eurostat_co2(eurostat, year)

From 46c01e81e5c378889ad6075b89ceb9ce97d67539 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Mon, 19 Jan 2026 00:01:38 +0100
Subject: [PATCH 18/42] Revert "process eurostat energy balances via API"

This reverts commit a81e1002e5edda57d65be57a109f08b8bcbb55d9.
---
 config/config.default.yaml                    |   2 +-
 data/versions.csv                             |   5 +-
 doc/data_inventory.csv                        |   2 +-
 doc/release_notes.rst                         |   4 -
 rules/build_sector.smk                        |   8 +-
 rules/postprocess.smk                         |   2 +-
 rules/retrieve.smk                            |   8 +-
 scripts/build_biomass_potentials.py           |  54 +-
 scripts/build_energy_totals.py                | 475 ++++++++++++++----
 ...build_industrial_production_per_country.py |  57 ++-
 scripts/prepare_sector_network.py             |   2 +-
 11 files changed, 440 insertions(+), 179 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index f3acea82a..c3ff3d9dd 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1279,7 +1279,7 @@ data:
     source: archive
     version: latest
   eurostat_balances:
-    source: primary
+    source: archive
     version: latest
   eurostat_household_balances:
     source: archive
diff --git a/data/versions.csv b/data/versions.csv
index 600a2b09f..1d079b37f 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -18,9 +18,10 @@
 "eu_nuts2013","primary","2015-12-03","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2013-03m.geojson.zip"," "
 "eu_nuts2021","archive","2021-01-01","['latest', 'supported']","https://zenodo.org/records/15846440/files/ref-nuts-2021-01m.geojson.zip",""
 "eu_nuts2021","primary","2021-01-01","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2021-01m.geojson.zip",""
-"eurostat_balances","primary","2026-01","['latest', 'supported']","https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nrg_bal_c?format=TSV&compressed=true",""
+"eurostat_balances","archive","2023-04","['latest', 'supported']","https://zenodo.org/records/15849144/files/balances.zip",""
+"eurostat_balances","primary","2023-04","['latest', 'supported', 'broken link']","https://ec.europa.eu/eurostat/documents/38154/4956218/Balances-April2023.zip","The link is broken, use the archived versions instead."
 "eurostat_household_balances","archive","2025-07-09","['latest', 'supported']","https://zenodo.org/records/15849673/files/nrg_d_hhq.csv",""
-"eurostat_household_balances","primary","unknown","['latest', 'supported']","https://ec.europa.eu/eurostat/databrowser-backend/api/extraction/1.0/LIVE/false/sdmx/csv/nrg_d_hhq__custom_11480365?startPeriod=2013&endPeriod=2024","URL limits the period to 2013-2022, but the data is updated regularly."
+"eurostat_household_balances","primary","unknown","['latest', 'supported']","https://ec.europa.eu/eurostat/databrowser-backend/api/extraction/1.0/LIVE/false/sdmx/csv/nrg_d_hhq__custom_11480365?startPeriod=2013&endPeriod=2022","URL limits the period to 2013-2022, but the data is updated regularly."
 "osm","archive","0.1","['deprecated', 'not-supported']","https://zenodo.org/records/12799202",""
 "osm","archive","0.2","['deprecated', 'not-supported']","https://zenodo.org/records/13342577",""
 "osm","archive","0.3","['deprecated', 'not-supported']","https://zenodo.org/records/13358976",""
diff --git a/doc/data_inventory.csv b/doc/data_inventory.csv
index 27779f894..133ce39d6 100644
--- a/doc/data_inventory.csv
+++ b/doc/data_inventory.csv
@@ -7,7 +7,7 @@
 "nitrogen_statistics","Nitrogen Statistics and Information","Statistics and information on the worldwide supply of, demand for, and flow of the mineral commodity nitrogen.","United States Geological Survey (USGS)","https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information","Public Domain"
 "eu_nuts2013","Nomenclature of Territorial Units for Statistics (NUTS) 2013 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2013, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
 "eu_nuts2021","Nomenclature of Territorial Units for Statistics (NUTS) 2021 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2021, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
-"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","https://ec.europa.eu/eurostat/data/database","CC-BY-4.0"
+"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","https://ec.europa.eu/eurostat/data/database","Reuse policy following 2011/833/EU ; newer versions of the same data are available as CC-BY-4.0 through the eurostat API"
 "eurostat_household_balances","Eurostat Household Energy Balances","Disaggregated final energy consumption in household - quantities (nrg_d_hhq)","eurostat","https://ec.europa.eu/eurostat/databrowser/product/page/NRG_D_HHQ","CC-BY-4.0"
 "luisa_land_cover","The LUISA base map 2018","The LUISA Base Map 2018 is a high-resolution land use/land cover map developed and produced by the Joint Research Centre of the European Commission","European Commission Joint Research Centre","https://data.jrc.ec.europa.eu/dataset/51858b51-8f27-4006-bf82-53eba35a142c","CC-BY-4.0"
 "jrc_idees","JRC-IDEES-2021","The JRC-IDEES-2021 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.", "European Commission Joint Research Centre", "https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5", "CC-BY-4.0"
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 2f813c348..f73782c3a 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,10 +9,6 @@ Release Notes
 Upcoming Release
 ================
 
-* Download and process Eurostat energy balances from API. This replaces the discontinued ZIP bulk download.
-
-* The function `rescale_idees_from_eurostat` was removed.
-
 * Important: PyPSA-Eur now uses a validation schema for configuration files. The schema 
   also contains the default values for all known configuration options, which means 
   `config/config.default.yaml` still exists and can be used, but will be automatically
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index 33092184f..046eae824 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -791,7 +791,7 @@ rule build_energy_totals:
         swiss_transport=f"{BFS_ROAD_VEHICLE_STOCK_DATASET['folder']}/vehicle_stock.csv",
         idees=rules.retrieve_jrc_idees.output["directory"],
         district_heat_share="data/district_heat_share.csv",
-        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
+        eurostat=rules.retrieve_eurostat_balances.output["directory"],
         eurostat_households=rules.retrieve_eurostat_household_balances.output["csv"],
     output:
         transformation_output_coke=resources("transformation_output_coke.csv"),
@@ -859,7 +859,7 @@ rule build_biomass_potentials:
         biomass=config_provider("biomass"),
     input:
         enspreso_biomass=rules.retrieve_enspreso_biomass.output["xlsx"],
-        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
+        eurostat=rules.retrieve_eurostat_balances.output["directory"],
         nuts2=rules.retrieve_eu_nuts_2013.output["shapes_level_2"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         nuts3_population=ancient(rules.retrieve_nuts3_population.output["gz"]),
@@ -1049,7 +1049,7 @@ rule build_industrial_production_per_country:
     input:
         ch_industrial_production="data/ch_industrial_production_per_subsector.csv",
         ammonia_production=resources("ammonia_production.csv"),
-        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
+        eurostat=rules.retrieve_eurostat_balances.output["directory"],
         jrc=rules.retrieve_jrc_idees.output["directory"],
     output:
         industrial_production_per_country=resources(
@@ -1595,7 +1595,7 @@ rule prepare_sector_network:
             else []
         ),
         network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
-        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
+        eurostat=rules.retrieve_eurostat_balances.output["directory"],
         pop_weighted_energy_totals=resources(
             "pop_weighted_energy_totals_s_{clusters}.csv"
         ),
diff --git a/rules/postprocess.smk b/rules/postprocess.smk
index 18b9a5a72..3a8379de6 100644
--- a/rules/postprocess.smk
+++ b/rules/postprocess.smk
@@ -449,7 +449,7 @@ rule plot_summary:
         costs=RESULTS + "csvs/costs.csv",
         energy=RESULTS + "csvs/energy.csv",
         balances=RESULTS + "csvs/energy_balance.csv",
-        eurostat=rules.retrieve_eurostat_balances.output["tsv_gz"],
+        eurostat=rules.retrieve_eurostat_balances.output["directory"],
         co2=rules.retrieve_ghg_emissions.output["csv"],
     output:
         costs=RESULTS + "graphs/costs.svg",
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 1cdbdd6e5..8861f78d4 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -31,11 +31,13 @@ if (EUROSTAT_BALANCES_DATASET := dataset_version("eurostat_balances"))["source"]
         message:
             "Retrieving Eurostat balances data"
         input:
-            tsv_gz=storage(EUROSTAT_BALANCES_DATASET["url"]),
+            zip_file=storage(EUROSTAT_BALANCES_DATASET["url"]),
         output:
-            tsv_gz=f"{EUROSTAT_BALANCES_DATASET['folder']}/estat_nrg_bal_c.tsv.gz",
+            zip_file=f"{EUROSTAT_BALANCES_DATASET['folder']}/balances.zip",
+            directory=directory(EUROSTAT_BALANCES_DATASET["folder"]),
         run:
-            copy2(input["tsv_gz"], output["tsv_gz"])
+            copy2(input["zip_file"], output["zip_file"])
+            unpack_archive(output["zip_file"], output["directory"])
 
 
 if (
diff --git a/scripts/build_biomass_potentials.py b/scripts/build_biomass_potentials.py
index 8fabaed61..a5373d10a 100755
--- a/scripts/build_biomass_potentials.py
+++ b/scripts/build_biomass_potentials.py
@@ -246,7 +246,7 @@ def convert_nuts2_to_regions(bio_nuts2, regions):
     return bio_regions
 
 
-def add_unsustainable_potentials(df, input_eurostat):
+def add_unsustainable_potentials(df):
     """
     Add unsustainable biomass potentials to the given dataframe. The difference
     between the data of JRC and Eurostat is assumed to be unsustainable
@@ -269,29 +269,36 @@ def add_unsustainable_potentials(df, input_eurostat):
     else:
         latest_year = 2021
     idees_rename = {"GR": "EL", "GB": "UK"}
-    year = max(min(latest_year, int(snakemake.wildcards.planning_horizons)), 1990)  # noqa: F841
     df_unsustainable = (
-        build_eurostat(input_eurostat)
-        .query("year == @year and nrg_bal == 'PPRD'")  # Primary production
-        .set_index(["country", "siec"])
-        .value.unstack("siec")
+        build_eurostat(
+            countries=snakemake.config["countries"],
+            input_eurostat=snakemake.input.eurostat,
+            nprocesses=int(snakemake.threads),
+        )
+        .xs(
+            max(min(latest_year, int(snakemake.wildcards.planning_horizons)), 1990),
+            level=1,
+        )
+        .xs("Primary production", level=2)
+        .droplevel([1, 2, 3])
     )
 
+    df_unsustainable.index = df_unsustainable.index.str.strip()
     df_unsustainable = df_unsustainable.rename(
         {v: k for k, v in idees_rename.items()}, axis=0
     )
 
     bio_carriers = [
-        "R5110-5150_W6000RI",  # Primary solid biofuels
-        "R5300",  # Biogases
-        "W6210",  # Renewable municipal waste
-        "R5210P",  # Pure biogasoline
-        "R5210B",  # Blended biogasoline
-        "R5220P",  # Pure biodiesels
-        "R5220B",  # Blended biodiesels
-        "R5230P",  # Pure bio jet kerosene
-        "R5230B",  # Blended bio jet kerosene
-        "R5290",  # Other liquid biofuels
+        "Primary solid biofuels",
+        "Biogases",
+        "Renewable municipal waste",
+        "Pure biogasoline",
+        "Blended biogasoline",
+        "Pure biodiesels",
+        "Blended biodiesels",
+        "Pure bio jet kerosene",
+        "Blended bio jet kerosene",
+        "Other liquid biofuels",
     ]
 
     df_unsustainable = df_unsustainable[bio_carriers]
@@ -303,18 +310,12 @@ def add_unsustainable_potentials(df, input_eurostat):
 
     # Calculate unsustainable solid biomass
     df_wo_ch["unsustainable solid biomass"] = _calc_unsustainable_potential(
-        df_wo_ch,
-        df_unsustainable,
-        share_unsus,
-        "R5110-5150_W6000RI",  # Primary solid biofuels
+        df_wo_ch, df_unsustainable, share_unsus, "Primary solid biofuels"
     )
 
     # Calculate unsustainable biogas
     df_wo_ch["unsustainable biogas"] = _calc_unsustainable_potential(
-        df_wo_ch,
-        df_unsustainable,
-        share_unsus,
-        "R5300",  # Biogases
+        df_wo_ch, df_unsustainable, share_unsus, "Biogases"
     )
 
     # Calculate unsustainable bioliquids
@@ -322,7 +323,7 @@ def add_unsustainable_potentials(df, input_eurostat):
         df_wo_ch,
         df_unsustainable,
         share_unsus,
-        resource_type="R5210|R5220|R5230|R5290",  # gasoline, diesel, kerosene, liquids
+        resource_type="gasoline|diesel|kerosene|liquid",
     )
 
     share_sus = params.get("share_sustainable_potential_available").get(investment_year)
@@ -390,8 +391,7 @@ def add_unsustainable_potentials(df, input_eurostat):
     grouper = {v: k for k, vv in params["classes"].items() for v in vv}
     df = df.T.groupby(grouper).sum().T
 
-    input_eurostat = snakemake.input.eurostat
-    df = add_unsustainable_potentials(df, input_eurostat)
+    df = add_unsustainable_potentials(df)
 
     df *= 1e6  # TWh/a to MWh/a
     df.index.name = "MWh/a"
diff --git a/scripts/build_energy_totals.py b/scripts/build_energy_totals.py
index a3e2d43de..a5241e585 100644
--- a/scripts/build_energy_totals.py
+++ b/scripts/build_energy_totals.py
@@ -6,7 +6,7 @@
 eurostat, and EEA data.
 
 - Country-specific data is read in :func:`build_eurostat`, :func:`build_idees` and `build_swiss`.
-- :func:`build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data.
+- :func:`build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data and :func:`rescale_idees_from_eurostat` rescales IDEES data to match Eurostat data.
 - :func:`build_district_heat_share` calculates the share of district heating for each country from IDEES data.
 - Historical CO2 emissions are calculated in :func:`build_eea_co2` and :func:`build_eurostat_co2` and combined in :func:`build_co2_totals`.
 
@@ -119,58 +119,136 @@ def reverse(dictionary: dict) -> dict:
 }
 
 
+def eurostat_per_country(input_eurostat: str, country: str) -> pd.DataFrame:
+    """
+    Read energy balance data for a specific country from Eurostat.
+
+    Parameters
+    ----------
+    input_eurostat : str
+        Path to the directory containing Eurostat data files.
+    country : str
+        Country code for the specific country.
+
+    Returns
+    -------
+    pd.DataFrame
+        Concatenated energy balance data for the specified country.
+
+    Notes
+    -----
+    - The function reads `<input_eurostat>/<country>.-Energy-balance-sheets-April-2023-edition.xlsb`
+    - It removes the "Cover" sheet from the data and concatenates all the remaining sheets into a single DataFrame.
+    """
+
+    filename = (
+        f"{input_eurostat}/{country}-Energy-balance-sheets-April-2023-edition.xlsb"
+    )
+    sheet = pd.read_excel(
+        filename,
+        engine="pyxlsb",
+        sheet_name=None,
+        skiprows=4,
+        index_col=list(range(4)),
+        na_values=":",
+    )
+    sheet.pop("Cover")
+    return pd.concat(sheet)
+
+
 def build_eurostat(
     input_eurostat: str,
+    countries: list[str],
+    nprocesses: int = 1,
+    disable_progressbar: bool = False,
 ) -> pd.DataFrame:
     """
-    Return long-format energy balances for all countries in TWh/a.
+    Return multi-index for all countries' energy data in TWh/a.
 
     Parameters
     ----------
     input_eurostat : str
         Path to the Eurostat database.
+    countries : list[str]
+        List of countries for which energy data is to be retrieved.
+    nprocesses : int, optional
+        Number of processes to use for parallel execution, by default 1.
+    disable_progressbar : bool, optional
+        Whether to disable the progress bar, by default False.
 
     Returns
     -------
     pd.DataFrame
-        Long-format DataFrame containing energy data for all countries in TWh/a.
+        Multi-index DataFrame containing energy data for all countries in TWh/a.
+
+    Notes
+    -----
+    - The function first renames the countries in the input list using the `idees_rename` mapping and removes "CH".
+    - It then reads country-wise data using :func:`eurostat_per_country` into a single DataFrame.
+    - The data is reordered, converted to TWh/a, and missing values are filled.
     """
 
-    raw = pd.read_csv(
-        input_eurostat,
-        sep=",|\t| [^ ]?\t",
-        engine="python",
-        na_values=[":", ": m", 0.0],
-    ).rename(columns={"geo\\TIME_PERIOD": "country"})
-
-    df = raw.melt(
-        id_vars=["freq", "nrg_bal", "siec", "unit", "country"],
-        var_name="year",
-        value_name="value",
-    ).query("unit == 'GWH'")
-
-    # Clean up formatting
-    df["year"] = df["year"].astype(int)
-    df.drop(["freq", "unit"], axis=1, inplace=True)
-
-    # For total and fossil energy, fill in missing values with
-    # closest non-missing value in year index
-    for country in df.country.unique():
-        mask = (
-            (df["country"] == country)
-            & (df["nrg_bal"] == "FC_TRA_DAVI_E")
-            & (df["siec"].isin(["TOTAL", "FE"]))
-        )
+    countries = {idees_rename.get(country, country) for country in countries} - {"CH"}
 
-        df.loc[mask, "value"] = (
-            df[mask].groupby("siec")["value"].transform(lambda x: x.ffill().bfill())
-        )
+    func = partial(eurostat_per_country, input_eurostat)
+    tqdm_kwargs = dict(
+        ascii=False,
+        unit=" country",
+        total=len(countries),
+        desc="Build from eurostat database",
+        disable=disable_progressbar,
+    )
+    with mute_print():
+        with mp.Pool(processes=nprocesses) as pool:
+            dfs = list(tqdm(pool.imap(func, countries), **tqdm_kwargs))
+
+    index_names = ["country", "year", "lvl1", "lvl2", "lvl3", "lvl4"]
+    df = pd.concat(dfs, keys=countries, names=index_names)
+    df.index = df.index.set_levels(df.index.levels[1].astype(int), level=1)
+
+    # drop columns with all NaNs
+    unnamed_cols = df.columns[df.columns.astype(str).str.startswith("Unnamed")]
+    df.drop(unnamed_cols, axis=1, inplace=True)
+    df.drop(list(range(1990, 2022)), axis=1, inplace=True, errors="ignore")
+
+    # make numeric values where possible
+    df.replace("Z", 0, inplace=True)
+    df = df.apply(pd.to_numeric, errors="coerce")
+    df = df.select_dtypes(include=[np.number])
+
+    # write 'International aviation' to the lower level of the multiindex
+    int_avia = df.index.get_level_values(3) == "International aviation"
+    temp = df.loc[int_avia]
+    temp.index = pd.MultiIndex.from_frame(
+        temp.index.to_frame().fillna("International aviation")
+    )
+    df = pd.concat([temp, df.loc[~int_avia]]).sort_index()
+
+    # Fill in missing data on "Domestic aviation" for each country.
+    for country in countries:
+        slicer = idx[country, :, :, :, "Domestic aviation"]
+        # For the Total and Fossil energy columns, fill in zeros with
+        # the closest non-zero value in the year index.
+        for col in ["Total", "Fossil energy"]:
+            df.loc[slicer, col] = (
+                df.loc[slicer, col].replace(0.0, np.nan).ffill().bfill()
+            )
 
-    # Follow JRC-IDEES country code convention
-    df["country"] = df["country"].replace({"UK": "GB", "EL": "GR"})
+    # Renaming some indices
+    index_rename = {
+        "Households": "Residential",
+        "Commercial & public services": "Services",
+        "Domestic navigation": "Domestic Navigation",
+        "International maritime bunkers": "Bunkers",
+        "UK": "GB",
+        "EL": "GR",
+    }
+    columns_rename = {"Total": "Total all products"}
+    df.rename(index=index_rename, columns=columns_rename, inplace=True)
+    df.sort_index(inplace=True)
 
-    # Convert from GWh to TWh
-    df["value"] = df["value"] / 1000
+    # convert to TWh/a from ktoe/a
+    df *= 11.63 / 1e3
 
     return df
 
@@ -601,8 +679,9 @@ def build_energy_totals(
     - `Norway heating data <http://www.ssb.no/en/energi-og-industri/statistikker/husenergi/hvert-3-aar/2014-07-14>`_
     """
 
-    eurostat_countries = eurostat.country.unique()
-    eurostat_years = eurostat.year.unique()
+    eurostat_fuels = {"electricity": "Electricity", "total": "Total all products"}
+    eurostat_countries = eurostat.index.unique(0)
+    eurostat_years = eurostat.index.unique(1)
 
     new_index = pd.MultiIndex.from_product(
         [countries, eurostat_years], names=["country", "year"]
@@ -618,11 +697,8 @@ def build_energy_totals(
 
     # add international navigation
 
-    fill_values = (
-        eurostat.query("nrg_bal == 'INTMARB' and siec == 'TOTAL'")
-        .groupby(["country", "year"])
-        .value.sum(min_count=1)
-    )
+    slicer = idx[in_eurostat, :, :, "Bunkers", :]
+    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[in_eurostat, "total international navigation"] = fill_values
@@ -643,11 +719,10 @@ def build_energy_totals(
     y = to_fill.get_level_values("year")
 
     # take total final energy consumption from Eurostat
-    fill_values = (
-        eurostat.query("nrg_bal == 'FC_OTH_AF_E' and siec == 'TOTAL'")
-        .groupby(["country", "year"])
-        .value.sum(min_count=1)
-    )
+    eurostat_sector = "Agriculture & forestry"
+    slicer = idx[c, y, :, :, eurostat_sector]
+
+    fill_values = eurostat.loc[slicer]["Total all products"].groupby(level=[0, 1]).sum()
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total agriculture"] = fill_values
@@ -671,24 +746,18 @@ def build_energy_totals(
         df["total residential"].isna()
         & df.index.get_level_values("country").isin(eurostat_countries)
     ]
-    c = to_fill.get_level_values("country")  # noqa: F841
-    y = to_fill.get_level_values("year")  # noqa: F841
-
-    for sector, s in [
-        ("residential", "FC_OTH_HH_E"),
-        ("services", "FC_OTH_CP_E"),
-        ("road", "FC_TRA_ROAD_E"),
-        ("rail", "FC_TRA_RAIL_E"),
-    ]:
+    c = to_fill.get_level_values("country")
+    y = to_fill.get_level_values("year")
+
+    for sector in ["residential", "services", "road", "rail"]:
+        eurostat_sector = sector.capitalize()
+
         # fuel use
 
-        for fuel, f in [("electricity", "E7000"), ("total", "TOTAL")]:
+        for fuel in ["electricity", "total"]:
+            slicer = idx[c, y, :, :, eurostat_sector]
             fill_values = (
-                eurostat.query(
-                    "nrg_bal == @s and siec == @f and country in @c and year in @y"
-                )
-                .groupby(["country", "year"])
-                .value.sum(min_count=1)
+                eurostat.loc[slicer, eurostat_fuels[fuel]].groupby(level=[0, 1]).sum()
             )
             # fill missing years for some countries by mean over the other years
             fill_values = fill_missing_years(fill_values)
@@ -765,31 +834,22 @@ def build_energy_totals(
 
     # Missing aviation
 
-    fill_values = (
-        eurostat.query("nrg_bal == 'FC_TRA_DAVI_E' and siec == 'TOTAL'")
-        .groupby(["country", "year"])
-        .value.sum(min_count=1)
-    )
+    slicer = idx[c, y, :, :, "Domestic aviation"]
+    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total domestic aviation"] = fill_values
 
-    fill_values = (
-        eurostat.query("nrg_bal == 'INTAVI' and siec == 'TOTAL'")
-        .groupby(["country", "year"])
-        .value.sum(min_count=1)
-    )
+    slicer = idx[c, y, :, :, "International aviation"]
+    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total international aviation"] = fill_values
 
     # missing domestic navigation
 
-    fill_values = (
-        eurostat.query("nrg_bal == 'FC_TRA_DNAVI_E' and siec == 'TOTAL'")
-        .groupby(["country", "year"])
-        .value.sum(min_count=1)
-    )
+    slicer = idx[c, y, :, :, "Domestic Navigation"]
+    fill_values = eurostat.loc[slicer, "Total all products"].groupby(level=[0, 1]).sum()
     # fill missing years for some countries by mean over the other years
     fill_values = fill_missing_years(fill_values)
     df.loc[to_fill, "total domestic navigation"] = fill_values
@@ -1032,19 +1092,18 @@ def build_eurostat_co2(eurostat: pd.DataFrame, year: int = 1990) -> pd.Series:
     - `EIA Electricity Annual <https://www.eia.gov/electricity/annual/html/epa_a_03.html>`_
     """
 
-    emissions = pd.Series(
-        {
-            "C0000X0350-0370": 0.36,  # solid fossil fuels
-            "O4000XBIO": 0.285,  # oil and petroleum products
-            "G3000": 0.2,  # natural gas
-        }
-    )
-    return (
-        eurostat.query("year == @year and siec in @emissions.index")
-        .assign(value=lambda df: df["value"] * df["siec"].map(emissions))
-        .groupby(["country", "nrg_bal"])["value"]
-        .sum(min_count=1)
+    eurostat_year = eurostat.xs(year, level="year")
+
+    specific_emissions = pd.Series(index=eurostat.columns, dtype=float)
+
+    # emissions in tCO2_equiv per MWh_th
+    specific_emissions["Solid fossil fuels"] = 0.36  # Approximates coal
+    specific_emissions["Oil and petroleum products"] = (
+        0.285  # Average of distillate and residue
     )
+    specific_emissions["Natural gas"] = 0.2  # For natural gas
+
+    return eurostat_year.multiply(specific_emissions).sum(axis=1)
 
 
 def build_co2_totals(
@@ -1078,23 +1137,24 @@ def build_co2_totals(
         ["BA", "RS", "XK", "AL", "ME", "MK", "UA", "MD"]
     ):
         mappings = {
-            "electricity": "TI_EHG_E",
-            "residential non-elec": "FC_OTH_HH_E",
-            "services non-elec": "FC_OTH_CP_E",
-            "road non-elec": "FC_TRA_ROAD_E",
-            "rail non-elec": "FC_TRA_RAIL_E",
-            "domestic navigation": "FC_TRA_DNAVI_E",
-            "international navigation": "INTMARB",
-            "domestic aviation": "FC_TRA_DAVI_E",
-            "international aviation": "INTAVI",
+            "electricity": (ct, "+", "Electricity & heat generation", np.nan),
+            "residential non-elec": (ct, "+", "+", "Residential"),
+            "services non-elec": (ct, "+", "+", "Services"),
+            "road non-elec": (ct, "+", "+", "Road"),
+            "rail non-elec": (ct, "+", "+", "Rail"),
+            "domestic navigation": (ct, "+", "+", "Domestic Navigation"),
+            "international navigation": (ct, "-", "Bunkers"),
+            "domestic aviation": (ct, "+", "+", "Domestic aviation"),
+            "international aviation": (ct, "-", "International aviation"),
             # does not include industrial process emissions or fuel processing/refining
-            "industrial non-elec": "FC_IND_E",
+            "industrial non-elec": (ct, "+", "Industry sector"),
             # does not include non-energy emissions
-            "agriculture": ["FC_OTH_AF_E", "FC_OTH_FISH_E"],
+            "agriculture": (eurostat_co2.index.get_level_values(0) == ct)
+            & eurostat_co2.index.isin(["Agriculture & forestry", "Fishing"], level=3),
         }
 
         for i, mi in mappings.items():
-            co2.at[ct, i] = eurostat_co2.loc[ct, mi].sum()
+            co2.at[ct, i] = eurostat_co2.loc[mi].sum()
 
     return co2
 
@@ -1201,6 +1261,205 @@ def build_transport_data(
     return transport_data
 
 
+def rescale_idees_from_eurostat(
+    idees_countries: list[str], energy: pd.DataFrame, eurostat: pd.DataFrame
+) -> pd.DataFrame:
+    """
+    Takes JRC IDEES data from 2021 and rescales it by the ratio of the Eurostat
+    data and the 2021 Eurostat data.
+    Missing data: ['passenger car efficiency', 'passenger cars']
+
+    Parameters
+    ----------
+    idees_countries : list[str]
+        List of IDEES country codes.
+    energy : pd.DataFrame
+        DataFrame with JRC IDEES data.
+    eurostat : pd.DataFrame
+        DataFrame with Eurostat data.
+
+    Returns
+    -------
+    pd.DataFrame
+        DataFrame with rescaled IDEES data.
+
+    Notes
+    -----
+    - The function first reads in the Eurostat data for 2015 and calculates the ratio of that data with other Eurostat data.
+    - This ratio is mapped to the IDEES data.
+
+    References
+    ----------
+    - JRC IDEES data: `JRC IDEES <https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/jrc-idees>`_
+    - Eurostat data: `Eurostat <https://ec.europa.eu/eurostat/data/database>`_
+    """
+
+    main_cols = ["Total all products", "Electricity"]
+    # read in the eurostat data for 2015
+    eurostat_2021 = eurostat.xs(2021, level="year")[main_cols]
+    # calculate the ratio of the two data sets
+    ratio = eurostat[main_cols] / eurostat_2021
+    ratio = ratio.droplevel([2, 5])
+    cols_rename = {"Total all products": "total", "Electricity": "ele"}
+    index_rename = {v: k for k, v in idees_rename.items()}
+    ratio.rename(columns=cols_rename, index=index_rename, inplace=True)
+
+    mappings = {
+        "Residential": {
+            "total": [
+                "total residential space",
+                "total residential water",
+                "total residential cooking",
+                "total residential",
+                "distributed heat residential",
+                "thermal uses residential",
+            ],
+            "elec": [
+                "electricity residential space",
+                "electricity residential water",
+                "electricity residential cooking",
+                "electricity residential",
+            ],
+        },
+        "Services": {
+            "total": [
+                "total services space",
+                "total services water",
+                "total services cooking",
+                "total services",
+                "distributed heat services",
+                "thermal uses services",
+            ],
+            "elec": [
+                "electricity services space",
+                "electricity services water",
+                "electricity services cooking",
+                "electricity services",
+            ],
+        },
+        "Agriculture & forestry": {
+            "total": [
+                "total agriculture heat",
+                "total agriculture machinery",
+                "total agriculture",
+            ],
+            "elec": [
+                "total agriculture electricity",
+            ],
+        },
+        "Road": {
+            "total": [
+                "total road",
+                "total passenger cars",
+                "total other road passenger",
+                "total light duty road freight",
+                "total heavy duty road freight",
+            ],
+            "elec": [
+                "electricity road",
+                "electricity passenger cars",
+                "electricity other road passenger",
+                "electricity light duty road freight",
+            ],
+        },
+        "Rail": {
+            "total": [
+                "total rail",
+                "total rail passenger",
+                "total rail freight",
+            ],
+            "elec": [
+                "electricity rail",
+                "electricity rail passenger",
+                "electricity rail freight",
+            ],
+        },
+    }
+
+    avia_inter = [
+        "total aviation passenger",
+        "total aviation freight",
+        "total international aviation passenger",
+        "total international aviation freight",
+        "total international aviation",
+    ]
+    avia_domestic = [
+        "total domestic aviation passenger",
+        "total domestic aviation freight",
+        "total domestic aviation",
+    ]
+    navigation = [
+        "total domestic navigation",
+    ]
+    # international navigation is already read in from the eurostat data directly
+
+    for country in idees_countries:
+        filling_years = [(2015, slice(2016, 2021)), (2000, slice(1990, 1999))]
+
+        for source_year, target_years in filling_years:
+            slicer_source = idx[country, source_year, :, :]
+            slicer_target = idx[country, target_years, :, :]
+
+            for sector, mapping in mappings.items():
+                sector_ratio = ratio.loc[
+                    (country, slice(None), slice(None), sector)
+                ].droplevel("lvl2")
+
+                energy.loc[slicer_target, mapping["total"]] = cartesian(
+                    sector_ratio.loc[target_years, "total"],
+                    energy.loc[slicer_source, mapping["total"]].squeeze(axis=0),
+                ).values
+                energy.loc[slicer_target, mapping["elec"]] = cartesian(
+                    sector_ratio.loc[target_years, "ele"],
+                    energy.loc[slicer_source, mapping["elec"]].squeeze(axis=0),
+                ).values
+
+            level_drops = ["country", "lvl2", "lvl3"]
+
+            slicer = idx[country, :, :, "Domestic aviation"]
+            avi_d = ratio.loc[slicer, "total"].droplevel(level_drops)
+
+            slicer = idx[country, :, :, "International aviation"]
+            avi_i = ratio.loc[slicer, "total"].droplevel(level_drops)
+
+            slicer = idx[country, :, :, "Domestic Navigation"]
+            nav = ratio.loc[slicer, "total"].droplevel(level_drops)
+
+            energy.loc[slicer_target, avia_inter] = cartesian(
+                avi_i.loc[target_years],
+                energy.loc[slicer_source, avia_inter].squeeze(axis=0),
+            ).values
+
+            energy.loc[slicer_target, avia_domestic] = cartesian(
+                avi_d.loc[target_years],
+                energy.loc[slicer_source, avia_domestic].squeeze(axis=0),
+            ).values
+
+            energy.loc[slicer_target, navigation] = cartesian(
+                nav.loc[target_years],
+                energy.loc[slicer_source, navigation].squeeze(axis=0),
+            ).values
+
+        # set the total of agriculture/road to the sum of all agriculture/road categories (corresponding to the IDEES data)
+        rows = idx[country, :]
+        cols = [
+            "total agriculture electricity",
+            "total agriculture heat",
+            "total agriculture machinery",
+        ]
+        energy.loc[rows, "total agriculture"] = energy.loc[rows, cols].sum(axis=1)
+
+        cols = [
+            "total passenger cars",
+            "total other road passenger",
+            "total light duty road freight",
+            "total heavy duty road freight",
+        ]
+        energy.loc[rows, "total road"] = energy.loc[rows, cols].sum(axis=1)
+
+    return energy
+
+
 def update_residential_from_eurostat(energy: pd.DataFrame) -> pd.DataFrame:
     """
     Updates energy balances for residential from disaggregated data from
@@ -1279,10 +1538,9 @@ def build_transformation_output_coke(eurostat, fn):
     The resulting transformation output data for coke ovens is saved as a CSV
     file at the path specified in fn.
     """
-
-    eurostat.query("nrg_bal == 'TO_CO'").set_index(["country", "year", "siec"])[
-        "value"
-    ].unstack("siec").to_csv(fn)
+    slicer = pd.IndexSlice[:, :, :, "Coke ovens", "Other sources", :]
+    df = eurostat.loc[slicer, :].droplevel(level=[2, 3, 4, 5])
+    df.to_csv(fn)
 
 
 def build_heating_efficiencies(
@@ -1354,7 +1612,12 @@ def build_heating_efficiencies(
     idees_countries = pd.Index(countries).intersection(eu27)
 
     input_eurostat = snakemake.input.eurostat
-    eurostat = build_eurostat(input_eurostat)
+    eurostat = build_eurostat(
+        input_eurostat,
+        countries,
+        nprocesses=snakemake.threads,
+        disable_progressbar=snakemake.config["run"].get("disable_progressbar", False),
+    )
 
     build_transformation_output_coke(
         eurostat, snakemake.output.transformation_output_coke
diff --git a/scripts/build_industrial_production_per_country.py b/scripts/build_industrial_production_per_country.py
index 3a5309443..8282ca3a6 100644
--- a/scripts/build_industrial_production_per_country.py
+++ b/scripts/build_industrial_production_per_country.py
@@ -51,7 +51,6 @@
 from tqdm import tqdm
 
 from scripts._helpers import configure_logging, mute_print, set_scenario_config
-from scripts.build_energy_totals import build_eurostat
 
 logger = logging.getLogger(__name__)
 cc = coco.CountryConverter()
@@ -135,17 +134,17 @@
 }
 
 eb_sectors = {
-    "FC_IND_IS_E": "Iron and steel",
-    "FC_IND_CPC_E": "Chemical industry",
-    "FC_IND_NFM_E": "Non Ferrous Metals",
-    "FC_IND_NMM_E": "Non-metallic mineral products",
-    "FC_IND_TE_E": "Transport equipment",
-    "FC_IND_MAC_E": "Machinery equipment",
-    "FC_IND_FBT_E": "Food, beverages and tobacco",
-    "FC_IND_PPP_E": "Pulp, paper and printing",
-    "FC_IND_WP_E": "Wood and wood products",
-    "FC_IND_TL_E": "Textiles and leather",
-    "FC_IND_NSP_E": "Other industrial sectors",
+    "Iron & steel": "Iron and steel",
+    "Chemical & petrochemical": "Chemical industry",
+    "Non-ferrous metals": "Non-metallic mineral products",
+    "Paper, pulp & printing": "Pulp, paper and printing",
+    "Food, beverages & tobacco": "Food, beverages and tobacco",
+    "Non-metallic minerals": "Non Ferrous Metals",
+    "Transport equipment": "Transport equipment",
+    "Machinery": "Machinery equipment",
+    "Textile & leather": "Textiles and leather",
+    "Wood & wood products": "Wood and wood products",
+    "Not elsewhere specified (industry)": "Other industrial sectors",
 }
 
 
@@ -171,25 +170,27 @@ def find_physical_output(df):
     return slice(start, end)
 
 
-def get_energy_ratio(country, eurostat, jrc_dir, year, snakemake):
+def get_energy_ratio(country, eurostat_dir, jrc_dir, year, snakemake):
     if country == "CH":
         # data ranges between 2014-2023
         e_country = pd.read_csv(
             snakemake.input.ch_industrial_production, index_col=0
         ).dropna()
         e_country = e_country.rename(index=ch_mapping).groupby(level=0).sum()
-        e_country = e_country[str(year)]
+        e_country = e_country[str(min(2019, year))]
         e_country *= tj_to_ktoe
     else:
+        ct_eurostat = country.replace("GB", "UK")
         # estimate physical output, energy consumption in the sector and country
-        e_country = (
-            eurostat.query(
-                "year == @year and country == @country and "
-                "siec == 'TOTAL' and nrg_bal == @eb_sectors.keys()"
-            )
-            .set_index("nrg_bal")
-            .value.rename(eb_sectors)
+        fn = f"{eurostat_dir}/{ct_eurostat}-Energy-balance-sheets-April-2023-edition.xlsb"
+        df = pd.read_excel(
+            fn,
+            sheet_name=str(min(2019, year)),
+            index_col=2,
+            header=0,
+            skiprows=4,
         )
+        e_country = df.loc[eb_sectors.keys(), "Total"].rename(eb_sectors)
 
     fn = f"{jrc_dir}/EU27/JRC-IDEES-2021_Industry_EU27.xlsx"
 
@@ -208,7 +209,7 @@ def get_energy_ratio(country, eurostat, jrc_dir, year, snakemake):
     return pd.Series({k: e_ratio[v] for k, v in sub2sect.items()})
 
 
-def industry_production_per_country(country, year, eurostat, jrc_dir, snakemake):
+def industry_production_per_country(country, year, eurostat_dir, jrc_dir, snakemake):
     def get_sector_data(sector, country):
         jrc_country = jrc_names.get(country, country)
         fn = f"{jrc_dir}/{jrc_country}/JRC-IDEES-2021_Industry_{jrc_country}.xlsx"
@@ -232,7 +233,7 @@ def get_sector_data(sector, country):
     if country not in eu27:
         demand *= get_energy_ratio(
             country,
-            eurostat,
+            eurostat_dir,
             jrc_dir,
             year,
             snakemake,
@@ -243,14 +244,14 @@ def get_sector_data(sector, country):
     return demand
 
 
-def industry_production(countries, year, eurostat, jrc_dir):
+def industry_production(countries, year, eurostat_dir, jrc_dir):
     nprocesses = snakemake.threads
     disable_progress = snakemake.config["run"].get("disable_progressbar", False)
 
     func = partial(
         industry_production_per_country,
         year=year,
-        eurostat=eurostat,
+        eurostat_dir=eurostat_dir,
         jrc_dir=jrc_dir,
         snakemake=snakemake,
     )
@@ -326,11 +327,9 @@ def separate_basic_chemicals(demand, year):
     params = snakemake.params.industry
 
     jrc_dir = snakemake.input.jrc
-    input_eurostat = snakemake.input.eurostat
-
-    eurostat = build_eurostat(input_eurostat)
+    eurostat_dir = snakemake.input.eurostat
 
-    demand = industry_production(countries, year, eurostat, jrc_dir)
+    demand = industry_production(countries, year, eurostat_dir, jrc_dir)
 
     separate_basic_chemicals(demand, year)
 
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 5d7d4ef8f..5f45d6d94 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -255,7 +255,7 @@ def co2_emissions_year(
     """
     eea_co2 = build_eea_co2(input_co2, year, emissions_scope)
 
-    eurostat = build_eurostat(input_eurostat)
+    eurostat = build_eurostat(input_eurostat, countries)
 
     # this only affects the estimation of CO2 emissions for BA, RS, AL, ME, MK, XK
     eurostat_co2 = build_eurostat_co2(eurostat, year)

From 2b76489eef540c1a0896e7a9814c4f0dfdb1fc60 Mon Sep 17 00:00:00 2001
From: Fabian Hofmann <fab.hof@gmx.de>
Date: Mon, 19 Jan 2026 20:27:28 +0100
Subject: [PATCH 19/42] fix: avoid netcdf4 version 1.7.4 (#1988)

* fix: avoid netcdf4 version 1.7.4

* Revert "fix: avoid netcdf4 version 1.7.4"

This reverts commit 23fb6ad41234c126e3024cff5e2a958923f060b5.

* pin in `pixi.toml`

---------

Co-authored-by: lkstrp <lkstrp@pm.me>
---
 pixi.lock | 1237 ++++++++++++++++++++++++++---------------------------
 pixi.toml |    2 +-
 2 files changed, 613 insertions(+), 626 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index d354084a9..a540b8870 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -30,7 +30,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py313h78bf25f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.5-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.1.0-pyhcf101f3_0.conda
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   license_family: Apache
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.0-h8b86629_0.conda
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   - requests
-  - scipy
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   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.4-nompi_py313h16051e2_101.conda
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-  - libzlib >=1.3.1,<2.0a0
+  - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/netcdf4-1.7.4-nompi_py312h6ec3a75_101.conda
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   license: MIT
   license_family: MIT
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+  - libnetcdf >=4.9.3,<4.9.4.0a0
+  - hdf5 >=1.14.6,<1.14.7.0a0
   license: MIT
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-  - numpy >=1.23,<3
-  - python_abi 3.12.* *_cp312
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   - libzlib >=1.3.1,<2.0a0
-  - hdf5 >=1.14.6,<1.14.7.0a0
+  - numpy >=1.23,<3
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+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   license: MIT
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-  - python_abi 3.13.* *_cp313
+  - python 3.12.* *_cpython
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-  - numpy >=1.23,<3
   - libzlib >=1.3.1,<2.0a0
+  - hdf5 >=1.14.6,<1.14.7.0a0
+  - numpy >=1.23,<3
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   license_family: MIT
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-  - python_abi 3.12.* *_cp312
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+  - libzlib >=1.3.1,<2.0a0
+  - numpy >=1.23,<3
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
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+  - libzlib >=1.3.1,<2.0a0
+  - numpy >=1.23,<3
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   license: MIT
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   license: MIT
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-- conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.0.6-pyhd8ed1ab_1.conda
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-  md5: 1cfa64a0a8211bafbb05e9b8f7e472c8
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-  - netcdf4
+  - netcdf4 !=1.7.4
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.12-h4196e79_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.13-h4196e79_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.14.13-h37e10c4_0.conda
   noarch: python
-  sha256: 00c74660040ee25009f578eb10ac00cdc24d3f3ea1fd91988550c9fab35bbaae
-  md5: 72a8570c645cc5edad6ba9e2671ac674
+  sha256: 9e6de345d3d482c477f0ab647b80acda8bbe9259fc706f5fc58abc505760ad6f
+  md5: 60eb6366deb0898dab59b993b55466af
   depends:
   - python
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
   license: MIT
-  size: 11965660
-  timestamp: 1768513918812
+  size: 11954710
+  timestamp: 1768592229860
 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
   sha256: 14acdf5685f457988dba0053b9d29f1861b1c8fff6da13ec863d6a2b6ac75bff
   md5: 0cfd80e699ae130623c0f42c6c6cf798
@@ -27818,9 +27811,9 @@ packages:
   license: Apache-2.0 AND LGPL-3.0-or-later
   size: 9238821
   timestamp: 1763141710631
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py312h54fa4ab_0.conda
-  sha256: cb19b6bb52a7df6b5bd2ee283e11f69489fd854c8daa1273296e1da2fb1cc96e
-  md5: 9faccce05511d05f22001ecc2dfe78de
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py312h54fa4ab_1.conda
+  sha256: 5b296faf6f5ff90d9ea3f6b16ff38fe2b8fe81c7c45b5e3a78b48887cca881d1
+  md5: 828eb07c4c87c38ed8c6560c25893280
   depends:
   - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
@@ -27836,12 +27829,11 @@ packages:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
-  license_family: BSD
-  size: 16719400
-  timestamp: 1768135976145
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py313h4b8bb8b_0.conda
-  sha256: baef19ea618cffc927104f625dfc565405adce2a3825c50fa4e0628fe8fcfd8d
-  md5: 6cf603754566f66ff2be27f7f038b83a
+  size: 16903519
+  timestamp: 1768801007666
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py313h4b8bb8b_1.conda
+  sha256: e812ebe8115f8daf005f5788ed8f05a0fdabe47eeb4c30bf0a190f2d1d1da0b6
+  md5: 2b18fe5b4b2d1611ddf8c2f080a46563
   depends:
   - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
@@ -27857,12 +27849,11 @@ packages:
   - python >=3.13,<3.14.0a0
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
-  license_family: BSD
-  size: 16946154
-  timestamp: 1768135953351
-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py312ha20b133_0.conda
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-  md5: d10818535d1a7c9b1a924065b91ce04d
+  size: 16857028
+  timestamp: 1768801011489
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py312ha20b133_1.conda
+  sha256: 6cc34c00442e95199a41bd551a3003ec5f2cac43e8e71158e03462a0dc61b799
+  md5: 9ab1af443bf4a42fd14a2baf21e394b9
   depends:
   - __osx >=10.13
   - libblas >=3.9.0,<4.0a0
@@ -27877,12 +27868,11 @@ packages:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
-  license_family: BSD
-  size: 15031996
-  timestamp: 1768135993446
-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_0.conda
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-  md5: ed17a993814b8dcce1e41abf6ab1d69a
+  size: 15064644
+  timestamp: 1768800945420
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_1.conda
+  sha256: c30ec7d0e2571f6f2ddaddf3eb64e0e2e16e58c0a4f724f2ee2b894e0ce1a8e4
+  md5: 076afc646e5b800ab4adece0310795db
   depends:
   - __osx >=10.13
   - libblas >=3.9.0,<4.0a0
@@ -27897,12 +27887,11 @@ packages:
   - python >=3.13,<3.14.0a0
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
-  license_family: BSD
-  size: 15149146
-  timestamp: 1768135887892
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_0.conda
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-  md5: 4352d288e44425e31f980bad3dfef21a
+  size: 15299524
+  timestamp: 1768800867425
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
+  sha256: a204b9b3a59a88a320d9da772eecda58242cfaaf785119927eb59c4bdc6fa66f
+  md5: 1f5a9253e1c3484a5c1df0b8145a9ce3
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -27918,12 +27907,11 @@ packages:
   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
-  license_family: BSD
-  size: 13640513
-  timestamp: 1768136071553
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_0.conda
-  sha256: c4970221efaba1ab16725adbf90492f4e0cabb9a6908ebf8e31bebde737775ac
-  md5: 9820f8f7d2f7b973e0b71c00adb32172
+  size: 13802410
+  timestamp: 1768801119235
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_1.conda
+  sha256: 2ea17fc46533e8789881732f42265e32c7ae376344cc3d53683e7b2179d947bb
+  md5: 5b73b1e6d191aac48960c50d65372f19
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -27939,12 +27927,11 @@ packages:
   - python >=3.13,<3.14.0a0 *_cp313
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
-  license_family: BSD
-  size: 13797227
-  timestamp: 1768136452348
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_0.conda
-  sha256: 6f05352d921f1914f54c7805368842c07c116dee7ede90ed031a811d2a4efdcf
-  md5: b6edf419055109b566cd1e127dc81163
+  size: 13888560
+  timestamp: 1768801587965
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_1.conda
+  sha256: 0f90709b8b8ffa3f3f8a3e023154be77e3fe7dbeda3de3d62479c862111761f2
+  md5: da72702707bdb757ad57637815f165b1
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -27958,12 +27945,11 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
-  license_family: BSD
-  size: 14944653
-  timestamp: 1768137048439
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_0.conda
-  sha256: 1ee7142b35b5d0a9141735d04bba2ae02b5ee4f056b57774a7c1fd84cf0cd9da
-  md5: 94daca8e09c661a3445476c720fc3e6a
+  size: 14843889
+  timestamp: 1768801821822
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_1.conda
+  sha256: 9da71fa94c2de66f5d1eb7d926f655efadf8c4e0a6b6e934a45adaeea0905e9b
+  md5: b54fb98c96446df58e04957b6c98520e
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -27977,9 +27963,8 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
-  license_family: BSD
-  size: 15023367
-  timestamp: 1768136974347
+  size: 14986564
+  timestamp: 1768801809920
 - conda: https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_3.conda
   noarch: python
   sha256: ea29a69b14dd6be5cdeeaa551bf50d78cafeaf0351e271e358f9b820fcab4cb0
@@ -28025,6 +28010,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 22409
   timestamp: 1768402460843
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh6dadd2b_0.conda
@@ -28036,6 +28022,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 22700
   timestamp: 1768402455730
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyha191276_0.conda
@@ -28046,6 +28033,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 23960
   timestamp: 1768402421616
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
@@ -28332,9 +28320,9 @@ packages:
   license: MIT
   size: 21016
   timestamp: 1767973148161
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.7-pyhdfd78af_0.conda
-  sha256: 52fdff01a79f5d72315878e17de64239c175134fe96ad3cd6c2e918a36459d1d
-  md5: 7f961395ecc022f8ccda84fd9c2d20a0
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.8-pyhdfd78af_0.conda
+  sha256: 9c554aecd80e3d20802c51c26a83bab47ee50454a95003c3963d8082475fb1f6
+  md5: 92e16eddc99856bcd10440c53cc3de33
   depends:
   - appdirs
   - conda-inject >=1.3.1,<2.0
@@ -28368,8 +28356,8 @@ packages:
   - yte >=1.5.5,<2.0
   license: MIT
   license_family: MIT
-  size: 870013
-  timestamp: 1768519177634
+  size: 869837
+  timestamp: 1768573030175
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda
   sha256: c51ed19c29b1acd2fcae120b16fa60bacc5ce2e3086c3175f7cf2fe50c1a5137
   md5: 17232431f65ce347f972f0fd95d2e97a
@@ -28482,15 +28470,14 @@ packages:
   license_family: APACHE
   size: 28657
   timestamp: 1738440459037
-- conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.1-pyhd8ed1ab_0.conda
-  sha256: 4ba9b8c45862e54d05ed9a04cc6aab5a17756ab9865f57cbf2836e47144153d2
-  md5: 7de28c27fe620a4f7dbfaea137c6232b
+- conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.2-pyhd8ed1ab_0.conda
+  sha256: aacc87d88795ef887b89fe9401d1092312c43371d1ba92340d8924da1a982b6a
+  md5: fcbe3971b6017792e9b24ff451daa7f5
   depends:
   - python >=3.10
   license: MIT
-  license_family: MIT
-  size: 37951
-  timestamp: 1766075884412
+  size: 38091
+  timestamp: 1768776629384
 - conda: https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda
   sha256: 995f58c662db0197d681fa345522fd9e7ac5f05330d3dff095ab2f102e260ab0
   md5: f7af826063ed569bb13f7207d6f949b0
@@ -30333,43 +30320,43 @@ packages:
   license_family: BSD
   size: 51128
   timestamp: 1763813786075
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.1-hbcc6ac9_2.conda
-  sha256: 802725371682ea06053971db5b4fb7fbbcaee9cb1804ec688f55e51d74660617
-  md5: 68eae977d7d1196d32b636a026dc015d
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.2-ha02ee65_0.conda
+  sha256: 6d60b1870bdbbaf098bbc7d69e4f4eccb8a6b5e856c2d0aca3c62c0db97e0863
+  md5: d34b831f6d6a9b014eb7cf65f6329bba
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - liblzma 5.8.1 hb9d3cd8_2
-  - liblzma-devel 5.8.1 hb9d3cd8_2
-  - xz-gpl-tools 5.8.1 hbcc6ac9_2
-  - xz-tools 5.8.1 hb9d3cd8_2
+  - libgcc >=14
+  - liblzma 5.8.2 hb03c661_0
+  - liblzma-devel 5.8.2 hb03c661_0
+  - xz-gpl-tools 5.8.2 ha02ee65_0
+  - xz-tools 5.8.2 hb03c661_0
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 23987
-  timestamp: 1749230104359
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.1-hbcc6ac9_2.conda
-  sha256: 840838dca829ec53f1160f3fca6dbfc43f2388b85f15d3e867e69109b168b87b
-  md5: bf627c16aa26231720af037a2709ab09
+  size: 24101
+  timestamp: 1768752698238
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.2-ha02ee65_0.conda
+  sha256: a4876e9fb124665315aedfe96b1a832e2c26312241061d5f990208aaf380da46
+  md5: a159fe1e8200dd67fa88ddea9169d25a
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - liblzma 5.8.1 hb9d3cd8_2
+  - libgcc >=14
+  - liblzma 5.8.2 hb03c661_0
   constrains:
-  - xz 5.8.1.*
+  - xz 5.8.2.*
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 33911
-  timestamp: 1749230090353
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.1-hb9d3cd8_2.conda
-  sha256: 58034f3fca491075c14e61568ad8b25de00cb3ae479de3e69be6d7ee5d3ace28
-  md5: 1bad2995c8f1c8075c6c331bf96e46fb
+  size: 33774
+  timestamp: 1768752679459
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.2-hb03c661_0.conda
+  sha256: 65c8a236b89a4ad24565a986b7c00b8cb2906af52fd9963730c44ea56a9fde9a
+  md5: dfd6129671f782988d665354e7aa269d
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - liblzma 5.8.1 hb9d3cd8_2
+  - libgcc >=14
+  - liblzma 5.8.2 hb03c661_0
   constrains:
-  - xz 5.8.1.*
+  - xz 5.8.2.*
   license: 0BSD AND LGPL-2.1-or-later
-  size: 96433
-  timestamp: 1749230076687
+  size: 96093
+  timestamp: 1768752662020
 - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
   sha256: 6d9ea2f731e284e9316d95fa61869fe7bbba33df7929f82693c121022810f4ad
   md5: a77f85f77be52ff59391544bfe73390a
diff --git a/pixi.toml b/pixi.toml
index 7acf19342..1cf71c39d 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -62,7 +62,7 @@ linopy = ">=0.4.4"
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"
-netcdf4 = ">=1.7.2"
+netcdf4 = ">=1.7.2,!=1.7.4"
 networkx = ">=3.5"
 numpy = ">=1.26.4"
 openpyxl = ">=3.1.5"

From dcc3c0094e00d4c337f271b5b8e9c94ad83a8dcc Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 19 Jan 2026 22:00:44 +0100
Subject: [PATCH 20/42] Update locked environment files for all platforms
 (#1983)

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  | 211 +++++++++++++++++----------------
 envs/default_osx-64.pin.txt    |  63 +++++-----
 envs/default_osx-arm64.pin.txt |  65 +++++-----
 envs/default_win-64.pin.txt    |  59 ++++-----
 envs/environment.yaml          |   5 +-
 pixi.lock                      |  40 +++++--
 6 files changed, 237 insertions(+), 206 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 3d533f86a..511bb7f8a 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -10,51 +10,49 @@ https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#e
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda#86bc20552bf46075e3d92b67f089172d
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
+https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
 https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda#bddacf101bb4dd0e51811cb69c7790e2
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.0-h26f9b46_0.conda#9ee58d5c534af06558933af3c845a780
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_16.conda#5a68259fac2da8f2ee6f7bfe49c9eb8b
-https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda#db409b7c1720428638e7c0d509d3e1b5
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_16.conda#68f68355000ec3f1d6f26ea13e8f525f
 https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda#186a18e3ba246eccfc7cff00cd19a870
 https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.2-hf4e2dac_0.conda#da5be73701eecd0e8454423fd6ffcf30
-https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
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+https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb9d3cd8_0.conda#c7e925f37e3b40d893459e625f6a53f1
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index ce2d9017b..5c2006fff 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index f0b622b50..f704a0a74 100644
--- a/envs/default_osx-arm64.pin.txt
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index a284d679e..dc19abee2 100644
--- a/envs/default_win-64.pin.txt
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@@ -269,8 +272,8 @@ https://conda.anaconda.org/conda-forge/win-64/aiohttp-3.13.3-py313h51e1470_0.con
 https://conda.anaconda.org/conda-forge/noarch/google-auth-2.47.0-pyhcf101f3_0.conda#fa0d1dbb4ae73ca3636fe64ed0632a42
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 https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.29.0-pyhd8ed1ab_0.conda#7fd8158ff94ccf28a2ac1f534989d698
-https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhd8ed1ab_0.conda#862b63f7548be0c97e9c6f4f85959189
-https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.7.0-pyhcf101f3_0.conda#9a4ab0a7b2c5362e9530b03cf563820b
+https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhcf101f3_1.conda#48fcccc0b579087018df0afc332b8bd6
+https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.8.0-pyhcf101f3_0.conda#d05f7e8724ceb2a77edf3e39cc7760bb
 https://conda.anaconda.org/conda-forge/noarch/deprecation-2.1.0-pyh9f0ad1d_0.tar.bz2#7b6747d7cc2076341029cff659669e8b
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
@@ -278,9 +281,9 @@ https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda#30c
 https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.7.0-pyhe01879c_1.conda#63ccfdc3a3ce25b027b8767eb722fca8
 https://conda.anaconda.org/conda-forge/noarch/fsspec-2026.1.0-pyhd8ed1ab_0.conda#1daaf94a304a27ba3446a306235a37ea
 https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.2-pyhcf101f3_1.conda#61b8078a0905b12529abc622406cb62c
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+https://conda.anaconda.org/conda-forge/noarch/dask-core-2026.1.1-pyhcf101f3_1.conda#91e3b2a0d014ac032c066a2e18051686
 https://conda.anaconda.org/conda-forge/win-64/bottleneck-1.6.0-np2py313haacffc7_3.conda#226e4715a3855061822ea89282958ff8
-https://conda.anaconda.org/conda-forge/noarch/linopy-0.5.8-pyhd8ed1ab_1.conda#5fa196c3b07cabe3cd1dc9a369c785fe
+https://conda.anaconda.org/conda-forge/noarch/linopy-0.6.0-pyhcf101f3_0.conda#8f035db8e401d7a7d7881b51c0c378cd
 https://conda.anaconda.org/conda-forge/win-64/rapidfuzz-3.14.3-py313hfe59770_1.conda#d385f2cc13b95e5e42000ed04636b412
 https://conda.anaconda.org/conda-forge/win-64/levenshtein-0.27.3-py313hfe59770_0.conda#d118ef2cd0f387d84faa35e0e0e7f32e
 https://conda.anaconda.org/conda-forge/noarch/xyzservices-2025.11.0-pyhd8ed1ab_0.conda#16933322051fa260285f1a44aae91dd6
@@ -290,8 +293,8 @@ https://conda.anaconda.org/conda-forge/noarch/geopandas-base-1.1.2-pyha770c72_0.
 https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda#1fcdf88e7a8c296d3df8409bf0690db4
 https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a6997a7dcd6673c0692c61dfeaea14ab
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.2-pyhd8ed1ab_0.conda#3b9d40bef27d094e48bb1a821e86a252
-https://conda.anaconda.org/conda-forge/noarch/pypsa-1.0.6-pyhd8ed1ab_1.conda#1cfa64a0a8211bafbb05e9b8f7e472c8
-https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.13.3-pyha770c72_0.conda#146402bf0f11cbeb8f781fa4309a95d3
+https://conda.anaconda.org/conda-forge/noarch/pypsa-1.0.7-pyhd8ed1ab_0.conda#e451a3c0ab3ad6fbe7bf83c59f0e2f9b
+https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.14.0-pyha770c72_0.conda#385dca77a8b0ec6fa9b92cb62d09b43b
 https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda#72e780e9aa2d0a3295f59b1874e3768b
 https://conda.anaconda.org/conda-forge/noarch/mccabe-0.7.0-pyhd8ed1ab_1.conda#827064ddfe0de2917fb29f1da4f8f533
 https://conda.anaconda.org/conda-forge/noarch/isort-7.0.0-pyhd8ed1ab_0.conda#55a61979242077b2cc377c74326ea9f0
@@ -313,7 +316,7 @@ https://conda.anaconda.org/conda-forge/noarch/et_xmlfile-2.0.0-pyhd8ed1ab_1.cond
 https://conda.anaconda.org/conda-forge/win-64/openpyxl-3.1.5-py313hc624790_2.conda#c21e0b30ab92ca01e64e1891b76ffeac
 https://conda.anaconda.org/conda-forge/noarch/geographiclib-2.1-pyhd8ed1ab_0.conda#43dd16b113cc7b244d923b630026ff4f
 https://conda.anaconda.org/conda-forge/noarch/geopy-2.4.1-pyhd8ed1ab_2.conda#40182a8d62a61d147ec7d3e4c5c36ac2
-https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.1-pyhd8ed1ab_0.conda#7de28c27fe620a4f7dbfaea137c6232b
+https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.2-pyhd8ed1ab_0.conda#fcbe3971b6017792e9b24ff451daa7f5
 https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda#5267bef8efea4127aacd1f4e1f149b6e
 https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.8-pyhd8ed1ab_0.conda#3181cf53cd50513a1a7c00aae2f08e7a
 https://conda.anaconda.org/conda-forge/noarch/country_converter-1.3.2-pyhd8ed1ab_0.conda#193a9e54636d8d70781a3e56370f5502
@@ -348,11 +351,11 @@ https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.9.0-pyhd8ed1ab_
 https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2#1cee351bf20b830d991dbe0bc8cd7dfe
 https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.15-py313h5813708_1.conda#8f01ed27e2baa455e753301218e054fd
 https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh6dadd2b_1.conda#e43ca10d61e55d0a8ec5d8c62474ec9e
-https://conda.anaconda.org/conda-forge/noarch/send2trash-2.0.0-pyh6dadd2b_0.conda#40df72e963d80a403c1861ae9428b13c
+https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh6dadd2b_0.conda#69ba308f1356f39901f5654d82405df3
 https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.20-hc70643c_0.conda#198bb594f202b205c7d18b936fa4524f
 https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h5bddc39_9.conda#a6c8f8ee856f7c3c1576e14b86cd8038
 https://conda.anaconda.org/conda-forge/win-64/pyzmq-27.1.0-py312hbb5da91_0.conda#808d263ec97bbd93b41ca01552b5fbd4
-https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.0-pyhd8ed1ab_0.conda#6fd1a65a2e8ea73120a9cc7f8e4848a9
+https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.1-pyhd8ed1ab_0.conda#7526d20621b53440b0aae45d4797847e
 https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda#f6d7aa696c67756a650e91e15e88223c
 https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_1.conda#e51f1e4089cad105b6cac64bd8166587
 https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda#6b6ece66ebcae2d5f326c77ef2c5a066
@@ -367,7 +370,7 @@ https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.5.1-pyhcf101f3_0.conda#
 https://conda.anaconda.org/conda-forge/noarch/bleach-6.3.0-pyhcf101f3_0.conda#b1a27250d70881943cca0dd6b4ba0956
 https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.3.0-h5f6438b_0.conda#08a03378bc5293c6f97637323802f480
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.6-pyhcf101f3_1.conda#cfc86ccc3b1de35d36ccaae4c50391f5
-https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_1.conda#2d983ff1b82a1ccb6f2e9d8784bdd6bd
+https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.4-pyhcf101f3_0.conda#7b8bace4943e0dc345fc45938826f2b8
 https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2#912a71cc01012ee38e6b90ddd561e36f
 https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_1.conda#36de09a8d3e5d5e6f4ee63af49e59706
 https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda#a61bf9ec79426938ff785eb69dbb1960
@@ -407,7 +410,7 @@ https://conda.anaconda.org/conda-forge/noarch/ipython-9.9.0-pyhe2676ad_0.conda#f
 https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.19-py313h927ade5_0.conda#a7e77991e54b031328253da027e2f3e1
 https://conda.anaconda.org/conda-forge/noarch/comm-0.2.3-pyhe01879c_0.conda#2da13f2b299d8e1995bafbbe9689a2f7
 https://conda.anaconda.org/conda-forge/noarch/ipykernel-7.1.0-pyh6dadd2b_0.conda#f22cb16c5ad68fd33d0f65c8739b6a06
-https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.5-pyh29332c3_0.conda#d9d0f99095a9bb7e3641bca8c6ad2ac7
+https://conda.anaconda.org/conda-forge/noarch/async-lru-2.1.0-pyhcf101f3_0.conda#04d2e5fba67e5a1ecec8e25d6c769004
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.2-pyhd8ed1ab_0.conda#513e7fcc06c82b24c84ff88ece13ac9f
 https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.5.2-pyhd8ed1ab_0.conda#c85c76dc67d75619a92f51dfbce06992
 https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda#47b58fa741a608dac785b71b8083bdb7
@@ -448,12 +451,12 @@ https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.41.5-py313hfbe8231
 https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda#2934f256a8acfe48f6ebb4fce6cde29c
 https://conda.anaconda.org/conda-forge/noarch/pydantic-2.12.5-pyhcf101f3_1.conda#c3946ed24acdb28db1b5d63321dbca7d
 https://conda.anaconda.org/conda-forge/win-64/h5py-3.15.1-nompi_py313hf7f959b_101.conda#29bcfb479b3030e2c190f53058b9a345
-https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.7.3-pyhd8ed1ab_0.conda#4ce3dfa4440b4aa5364f4a6fcc3d7cb3
+https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.0-pyhd8ed1ab_0.conda#5f394d6ab27b83833789bbe6bcf87518
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.0.1-pyhd8ed1ab_1.conda#972bdca8f30147135f951847b30399ea
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.27-pyhd8ed1ab_0.conda#4f772d239ac5d22ef5d6eff78888e88d
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.30-pyhd8ed1ab_0.conda#82b5c1f7d596ddd3bf5c096c1204a553
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda#061b5affcffeef245d60ec3007d1effd
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.26-pyhd8ed1ab_0.conda#5225da63f2304a4e3a58c6f10497c0ff
-https://conda.anaconda.org/conda-forge/win-64/libutf8proc-2.11.2-hb980946_0.conda#405c392813b74f3df06276e99c0e2841
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.30-pyhd8ed1ab_0.conda#524a4e4a5961300edb23f363225f617a
+https://conda.anaconda.org/conda-forge/win-64/libutf8proc-2.11.3-hb980946_0.conda#5f34fcb6578ea9bdbfd53cc2cfb88200
 https://conda.anaconda.org/conda-forge/win-64/orc-2.2.1-h7414dfc_0.conda#a9b6ebf475194b0e5ad43168e9b936a7
 https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-2.39.0-h19ee442_0.conda#c2c512f98c5c666782779439356a1713
 https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-storage-2.39.0-he04ea4c_0.conda#26198e3dc20bbcbea8dd6fa5ab7ea1e0
@@ -481,7 +484,7 @@ https://conda.anaconda.org/conda-forge/win-64/libarrow-dataset-22.0.0-h7d8d6a5_6
 https://conda.anaconda.org/conda-forge/win-64/libarrow-substrait-22.0.0-hf865cc0_6_cpu.conda#01d0606bf4202d358a71545759223202
 https://conda.anaconda.org/conda-forge/win-64/pyarrow-22.0.0-py313hfa70ccb_0.conda#dc9d22fa905cbb90914b29dc9791985d
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
-https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.2.5-pyhd8ed1ab_0.conda#e6f85f3cd0c5aff4ef0e07e80f49fa39
+https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.3.0-pyhd8ed1ab_0.conda#9e18b048c69d2d72bc69d120a435d731
 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda#c138c7aaa6a10b5762dcd92247864aff
 https://conda.anaconda.org/conda-forge/win-64/cartopy-0.25.0-py313hc90dcd4_1.conda#a3e17bc9d5a5e82c0c0fbea5ced9a5ff
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
@@ -494,9 +497,9 @@ https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda#e52c
 https://conda.anaconda.org/conda-forge/noarch/tblib-3.2.2-pyhcf101f3_0.conda#f88bb644823094f436792f80fba3207e
 https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_1.conda#0401a17ae845fa72c7210e206ec5647d
 https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py313h5ea7bf4_1.conda#ef2e9ff6d43a07587e3483c34adf6cff
-https://conda.anaconda.org/conda-forge/noarch/distributed-2025.12.0-pyhcf101f3_1.conda#613cea9275c4773d0b53c879838ac0ad
+https://conda.anaconda.org/conda-forge/noarch/distributed-2026.1.1-pyhcf101f3_1.conda#c15e359a982395be86a7576a91f9c5f5
 https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.1-pyhd8ed1ab_0.conda#f301f72474b91f1f83d42bcc7d81ce09
-https://conda.anaconda.org/conda-forge/noarch/dask-2025.12.0-pyhcf101f3_0.conda#94d36804598479f9eafa9c973902280e
+https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.1-pyhcf101f3_0.conda#a86541105aa7920d2147d48bf370dc08
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/win-64/freeglut-3.2.2-he0c23c2_3.conda#5872031ef7cba8435ff24af056777473
 https://conda.anaconda.org/conda-forge/win-64/jasper-4.2.8-h8ad263b_0.conda#f25a27d9c58ef3a63173f372edef0639
diff --git a/envs/environment.yaml b/envs/environment.yaml
index e4c7ede15..b45aefada 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -30,13 +30,14 @@ dependencies:
 - lxml >=6.0.2
 - matplotlib >=3.10.7
 - memory_profiler >=0.61.0
-- netcdf4 >=1.7.2
+- netcdf4 >=1.7.2,!=1.7.4
 - networkx >=3.5
 - numpy >=1.26.4
 - openpyxl >=3.1.5
 - pandas >=2.1
 - plotly >=6.4.0
 - powerplantmatching >=0.5.15
+- pydantic >=2
 - pre-commit >=4.3.0
 - proj >=9.6.2
 - pylint >=4.0.2
@@ -50,6 +51,7 @@ dependencies:
 - rasterio >=1.4.3
 - rioxarray >=0.20.0
 - ruff >=0.14.3
+- ruamel.yaml >=0.18.0
 - scipy >=1.16.3
 - seaborn >=0.13.2
 - shapely >=2.0
@@ -64,3 +66,4 @@ dependencies:
 - xlrd >=2.0.2
 - yaml >=0.2.5
 - snakemake-storage-plugin-cached-http >=0.1.0
+- snakemake-logger-plugin-pypsa >=0.1.0
diff --git a/pixi.lock b/pixi.lock
index a540b8870..f0b0d0474 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,8 +5,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -2148,8 +2146,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -2320,7 +2316,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb03c661_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb03c661_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp20.1-20.1.8-default_h99862b1_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp20.1-20.1.8-default_h99862b1_8.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-21.1.0-default_h746c552_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-hb8b1518_5.conda
@@ -3653,8 +3649,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -6336,6 +6330,7 @@ packages:
   - typing_extensions >=4.0.0
   - python
   license: MIT
+  license_family: MIT
   size: 19458
   timestamp: 1768752884184
 - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
@@ -12959,6 +12954,7 @@ packages:
   - packaging
   - python >=3.9
   license: BSD-3-Clause
+  license_family: BSD
   size: 57648
   timestamp: 1768724885756
 - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.15.1-nompi_py312ha4f8f14_101.conda
@@ -16143,9 +16139,9 @@ packages:
   license_family: BSD
   size: 44724
   timestamp: 1763441236326
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp20.1-20.1.8-default_h99862b1_7.conda
-  sha256: 7676578e5eae07c5ad986ddb701c255be3e4cf38afc14eb5ee74f1f03e06f092
-  md5: 968987a2c926470927b3b241e7c57a9b
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp20.1-20.1.8-default_h99862b1_8.conda
+  sha256: e4dfc9b820a5f7bcc5862f0d275a2c85e838a2de9c6d1d10b048ab7570f8a968
+  md5: 0071e5b9af13b5bcf39e371f3100ce3f
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=14
@@ -16153,8 +16149,8 @@ packages:
   - libstdcxx >=14
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
-  size: 21291566
-  timestamp: 1767961767722
+  size: 21291311
+  timestamp: 1768845917554
 - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp21.1-21.1.8-default_h99862b1_1.conda
   sha256: fd494cb13a139067a00dab2a641347c692abc149bcae6872502640b14e12dc4d
   md5: e933f92cedca212eb2916f24823cf90b
@@ -18142,6 +18138,7 @@ packages:
   - libbrotlidec >=1.2.0,<1.3.0a0
   - libhwy >=1.3.0,<1.4.0a0
   license: BSD-3-Clause
+  license_family: BSD
   size: 1912600
   timestamp: 1768821967254
 - conda: https://conda.anaconda.org/conda-forge/osx-64/libjxl-0.11.1-hde0fb83_8.conda
@@ -18154,6 +18151,7 @@ packages:
   - libbrotlidec >=1.2.0,<1.3.0a0
   - libhwy >=1.3.0,<1.4.0a0
   license: BSD-3-Clause
+  license_family: BSD
   size: 1761909
   timestamp: 1768822114809
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libjxl-0.11.1-h913acd8_8.conda
@@ -18166,6 +18164,7 @@ packages:
   - libbrotlienc >=1.2.0,<1.3.0a0
   - libbrotlidec >=1.2.0,<1.3.0a0
   license: BSD-3-Clause
+  license_family: BSD
   size: 1030574
   timestamp: 1768822131848
 - conda: https://conda.anaconda.org/conda-forge/win-64/libjxl-0.11.1-hf3f85d1_8.conda
@@ -18179,6 +18178,7 @@ packages:
   - libbrotlienc >=1.2.0,<1.3.0a0
   - libbrotlidec >=1.2.0,<1.3.0a0
   license: BSD-3-Clause
+  license_family: BSD
   size: 1317273
   timestamp: 1768821992120
 - conda: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-haa4a5bd_1022.conda
@@ -20595,6 +20595,7 @@ packages:
   - requests
   - python
   license: MIT
+  license_family: MIT
   size: 97880
   timestamp: 1768830312086
 - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-21.1.8-h472b3d1_0.conda
@@ -22218,6 +22219,7 @@ packages:
   constrains:
   - nlohmann_json-abi ==3.12.0
   license: MIT
+  license_family: MIT
   size: 137081
   timestamp: 1768670842725
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/nlohmann_json-3.12.0-h784d473_1.conda
@@ -22226,6 +22228,7 @@ packages:
   constrains:
   - nlohmann_json-abi ==3.12.0
   license: MIT
+  license_family: MIT
   size: 137595
   timestamp: 1768670878127
 - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
@@ -27517,6 +27520,7 @@ packages:
   constrains:
   - __glibc >=2.17
   license: MIT
+  license_family: MIT
   size: 11497260
   timestamp: 1768592206291
 - conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.14.13-hb17bafe_0.conda
@@ -27529,6 +27533,7 @@ packages:
   constrains:
   - __osx >=10.13
   license: MIT
+  license_family: MIT
   size: 11449242
   timestamp: 1768592295255
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.14.13-hb0cad00_0.conda
@@ -27541,6 +27546,7 @@ packages:
   constrains:
   - __osx >=11.0
   license: MIT
+  license_family: MIT
   size: 10441801
   timestamp: 1768592384226
 - conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.14.13-h37e10c4_0.conda
@@ -27553,6 +27559,7 @@ packages:
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
   license: MIT
+  license_family: MIT
   size: 11954710
   timestamp: 1768592229860
 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
@@ -27829,6 +27836,7 @@ packages:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
+  license_family: BSD
   size: 16903519
   timestamp: 1768801007666
 - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py313h4b8bb8b_1.conda
@@ -27849,6 +27857,7 @@ packages:
   - python >=3.13,<3.14.0a0
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
+  license_family: BSD
   size: 16857028
   timestamp: 1768801011489
 - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py312ha20b133_1.conda
@@ -27868,6 +27877,7 @@ packages:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
+  license_family: BSD
   size: 15064644
   timestamp: 1768800945420
 - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_1.conda
@@ -27887,6 +27897,7 @@ packages:
   - python >=3.13,<3.14.0a0
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
+  license_family: BSD
   size: 15299524
   timestamp: 1768800867425
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
@@ -27907,6 +27918,7 @@ packages:
   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
+  license_family: BSD
   size: 13802410
   timestamp: 1768801119235
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_1.conda
@@ -27927,6 +27939,7 @@ packages:
   - python >=3.13,<3.14.0a0 *_cp313
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
+  license_family: BSD
   size: 13888560
   timestamp: 1768801587965
 - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_1.conda
@@ -27945,6 +27958,7 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
+  license_family: BSD
   size: 14843889
   timestamp: 1768801821822
 - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_1.conda
@@ -27963,6 +27977,7 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
+  license_family: BSD
   size: 14986564
   timestamp: 1768801809920
 - conda: https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_3.conda
@@ -28476,6 +28491,7 @@ packages:
   depends:
   - python >=3.10
   license: MIT
+  license_family: MIT
   size: 38091
   timestamp: 1768776629384
 - conda: https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda

From 1e3e24b56ed7b8549be6e563bee87ba54a19a8f5 Mon Sep 17 00:00:00 2001
From: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Date: Tue, 20 Jan 2026 08:26:44 +0100
Subject: [PATCH 21/42] Updated technology-data to v0.13.4. (#1985)

* Updated technology-data to v0.13.4.

* Added release note.

* Update data/versions.csv

* Update data/versions.csv

Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
---
 data/versions.csv     | 6 ++++--
 doc/release_notes.rst | 2 ++
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/data/versions.csv b/data/versions.csv
index 1d079b37f..227a7a1c5 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -75,8 +75,10 @@
 "tyndp","archive","2024","['latest', 'supported']","https://zenodo.org/records/16759672/files",""
 "powerplants","primary","0.7.1","['latest', 'supported']","https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.1/powerplants.csv","Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry."
 "powerplants","primary","0.7.0","['supported']","https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.0/powerplants.csv","Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry."
-"costs","primary","v0.13.3","['latest', 'supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.3/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
-"costs","primary","v0.13.2","['partially-supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.2/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
+"costs","primary","v0.13.4","['latest', 'supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.4/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
+"costs","primary","v0.13.3","['supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.3/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
+"costs","primary","v0.13.2","['supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.2/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
+
 "country_runoff","archive","2025-08-13","['latest', 'supported']","https://zenodo.org/records/16849356/files/era5-runoff-per-country.csv",""
 "country_runoff","build","unknown","['latest', 'supported']","","Latest dataset built using ERA5 runoff data. This takes a very long time to build."
 "country_hdd","archive","2025-08-13","['latest', 'supported']","https://zenodo.org/records/16849356/files/era5-HDD-per-country.csv",""
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index f73782c3a..6b0af9c2f 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
+
 * Important: PyPSA-Eur now uses a validation schema for configuration files. The schema 
   also contains the default values for all known configuration options, which means 
   `config/config.default.yaml` still exists and can be used, but will be automatically

From 3c43925df6408e6f03396a8d94defdccf2082de3 Mon Sep 17 00:00:00 2001
From: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Date: Tue, 20 Jan 2026 11:18:32 +0100
Subject: [PATCH 22/42] Fix mock snakemake for Snakemake API changes. (#1984)

* Fix mock snakemake for Snakemake API changes.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Updated pixi.lock.

* Added release notes.

* Make mock_snakemake more robust: Handling different LoggerManager arguments depending on snakemake version.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 doc/release_notes.rst |  2 ++
 scripts/_helpers.py   | 26 ++++++++++++++++++++------
 2 files changed, 22 insertions(+), 6 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 6b0af9c2f..301e51349 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix `mock_snakemake` due to breaking `snakemake` upstream API changes, i.e., requiring passing a `LoggerManager` instance (https://github.com/PyPSA/pypsa-eur/pull/1984).
+
 * Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
 
 * Important: PyPSA-Eur now uses a validation schema for configuration files. The schema 
diff --git a/scripts/_helpers.py b/scripts/_helpers.py
index ca4b65ce7..638811c80 100644
--- a/scripts/_helpers.py
+++ b/scripts/_helpers.py
@@ -507,13 +507,17 @@ def mock_snakemake(
     import os
 
     import snakemake as sm
+    from packaging import version
     from pypsa.definitions.structures import Dict
+    from snakemake import __version__ as sm_version
     from snakemake.api import Workflow
     from snakemake.common import SNAKEFILE_CHOICES
+    from snakemake.logging import LoggerManager
     from snakemake.script import Snakemake
     from snakemake.settings.types import (
         ConfigSettings,
         DAGSettings,
+        OutputSettings,
         ResourceSettings,
         StorageSettings,
         WorkflowSettings,
@@ -554,15 +558,25 @@ def mock_snakemake(
         workflow_settings = WorkflowSettings()
         storage_settings = StorageSettings()
         dag_settings = DAGSettings(rerun_triggers=[])
-        workflow = Workflow(
-            config_settings,
-            resource_settings,
-            workflow_settings,
-            storage_settings,
-            dag_settings,
+
+        workflow_kwargs = dict(
+            config_settings=config_settings,
+            resource_settings=resource_settings,
+            workflow_settings=workflow_settings,
+            storage_settings=storage_settings,
+            dag_settings=dag_settings,
             storage_provider_settings=dict(),
             overwrite_workdir=workdir,
         )
+
+        # Snakemake version-dependent logger handling
+        if version.parse(sm_version) >= version.parse("9.14.6"):
+            output_settings = OutputSettings()
+            workflow_kwargs["logger_manager"] = LoggerManager(
+                logger=logger, settings=output_settings
+            )
+
+        workflow = Workflow(**workflow_kwargs)
         workflow.include(snakefile)
 
         if configfiles:

From c49f04cd75bfc7d6f3095fb9b00d712664a1cb4d Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Tue, 20 Jan 2026 16:57:07 +0100
Subject: [PATCH 23/42] fix: retrieve eez data from own archive in test (#1992)

---
 test/conftest.py | 21 ++-------------------
 1 file changed, 2 insertions(+), 19 deletions(-)

diff --git a/test/conftest.py b/test/conftest.py
index 51914d905..284ee5e75 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -7,13 +7,11 @@
 from functools import reduce
 from shutil import unpack_archive
 from urllib.request import urlretrieve
-from uuid import uuid4
 
 import geopandas as gpd
 import pandas as pd
 import pypsa
 import pytest
-import requests
 import yaml
 
 
@@ -139,25 +137,10 @@ def download_natural_earth(tmpdir):
 
 @pytest.fixture(scope="function")
 def download_eez(tmpdir):
-    name = str(uuid4())[:8]
-    org = str(uuid4())[:8]
+    url = "https://data.pypsa.org/workflows/eur/eez/v12_20231025/World_EEZ_v12_20231025_LR.zip"
     zipped_filename = "World_EEZ_v12_20231025_LR.zip"
-    response = requests.post(
-        "https://www.marineregions.org/download_file.php",
-        params={"name": zipped_filename},
-        data={
-            "name": name,
-            "organisation": org,
-            "email": f"{name}@{org}.org",
-            "country": "Germany",
-            "user_category": "academia",
-            "purpose_category": "Research",
-            "agree": "1",
-        },
-    )
     zipped_filename_path = pathlib.Path(tmpdir, zipped_filename)
-    with open(zipped_filename_path, "wb") as f:
-        f.write(response.content)
+    urlretrieve(url, zipped_filename_path)
     unpack_archive(zipped_filename_path, tmpdir)
     output_path = pathlib.Path(
         tmpdir, "World_EEZ_v12_20231025_LR", "eez_v12_lowres.gpkg"

From 21477be39a0c2b2e8b4d80ae19b1d1bcc7efac53 Mon Sep 17 00:00:00 2001
From: jonathan-peel <52451628+jonathan-peel@users.noreply.github.com>
Date: Tue, 20 Jan 2026 22:43:26 +0100
Subject: [PATCH 24/42] Bugfix industry only (#1971)

* Ensure gas bus exists without CCGT:gas option

* Add catch for if biomass not activated with industry.

* Update release notes

---------

Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
---
 doc/release_notes.rst             |  1 +
 scripts/prepare_sector_network.py | 17 +++++++++++++++++
 2 files changed, 18 insertions(+)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 301e51349..96c2aa0af 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,7 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix ConsistencyError for Links without buses when `industry: true`, but no `conventional_generation` or `biomass` (https://github.com/PyPSA/pypsa-eur/pull/1971)
 * Fix `mock_snakemake` due to breaking `snakemake` upstream API changes, i.e., requiring passing a `LoggerManager` instance (https://github.com/PyPSA/pypsa-eur/pull/1984).
 
 * Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 5f45d6d94..500d880d8 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -4550,6 +4550,17 @@ def add_industry(
     - Process emission handling
     """
     logger.info("Add industrial demand")
+
+    # Ensure the gas carrier bus exists before adding any gas-for-industry links.
+    add_carrier_buses(
+        n=n,
+        carrier="gas",
+        costs=costs,
+        spatial=spatial,
+        options=options,
+        cf_industry=None,
+    )
+
     # add oil buses for shipping, aviation and naptha for industry
     add_carrier_buses(
         n,
@@ -4575,6 +4586,12 @@ def add_industry(
     # 1e6 to convert TWh to MWh
     industrial_demand = pd.read_csv(industrial_demand_file, index_col=0) * 1e6 * nyears
 
+    if not options["biomass"]:
+        raise ValueError(
+            "Industry demand includes solid biomass, but `sector.biomass` is disabled. "
+            "Enable `sector: {biomass: true}` in config."
+        )
+
     n.add(
         "Bus",
         spatial.biomass.industry,

From 44f260a8958685105700cd2242931169fdedfa53 Mon Sep 17 00:00:00 2001
From: jonathan-peel <52451628+jonathan-peel@users.noreply.github.com>
Date: Wed, 21 Jan 2026 13:34:35 +0100
Subject: [PATCH 25/42] Fix bug of no gas infrastructure when no CCGT: gas
 implemented. (#1993)

* Fix bug of no gas infrastructure when no CCGT: gas implemented.

* Add release notes.
---
 doc/release_notes.rst             |  3 +++
 scripts/prepare_sector_network.py | 10 ++++++++++
 2 files changed, 13 insertions(+)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 96c2aa0af..2d9de3561 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,7 +9,10 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix ConsistencyError for Links without buses when `gas_network: true`, but no `conventional_generation` (https://github.com/PyPSA/pypsa-eur/pull/1971)
+
 * Fix ConsistencyError for Links without buses when `industry: true`, but no `conventional_generation` or `biomass` (https://github.com/PyPSA/pypsa-eur/pull/1971)
+
 * Fix `mock_snakemake` due to breaking `snakemake` upstream API changes, i.e., requiring passing a `LoggerManager` instance (https://github.com/PyPSA/pypsa-eur/pull/1984).
 
 * Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 500d880d8..457151eae 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -1919,6 +1919,16 @@ def add_storage_and_grids(
         logger.info(
             "Add natural gas infrastructure, incl. LNG terminals, production, storage and entry-points."
         )
+
+        add_carrier_buses(
+            n=n,
+            carrier="gas",
+            costs=costs,
+            spatial=spatial,
+            options=options,
+            cf_industry=None,
+        )
+
         gas_pipes = pd.read_csv(clustered_gas_network_file, index_col=0)
 
         if options["H2_retrofit"]:

From f8070313879945a038b483c7fe71db06c98a61f6 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Wed, 21 Jan 2026 18:27:14 +0100
Subject: [PATCH 26/42] feat: move archive from zenodo to s3 bucket (#1960)

* use custom domain and keep zenodo under source "archive"

* change versions.csv formatting

* changes to `versions.csv` and add schema

* update lock file

* apply review

* update lock file

* remove zenodo source again

* more sorting, add missing primarys to archive, use safe version for url slug

* fix and enforce correct setting of latest tag

* fix: cutouts store

* even stricter versions csv schema

* resolve conflict

* fix: ci cache, cutout-> cutouts, nitrogen latest tag

* fix: update schema

* add seawater nc to archive and versions.csv

* fix url

* review

* restore cutout revert

* add docs

* more review

* missed cutouts

* update schema
---
 .github/workflows/test.yaml              |    4 +
 config/config.default.yaml               |    3 +
 config/schema.json                       |   40 +
 data/versions.csv                        |  229 ++--
 doc/contributing.rst                     |   17 +-
 doc/data_sources.rst                     |  145 +--
 pixi.lock                                | 1450 ++++++++++++----------
 pixi.toml                                |    2 +
 rules/common.smk                         |    6 +-
 rules/retrieve.smk                       |    5 +-
 scripts/lib/validation/config/data.py    |    4 +
 scripts/retrieve_seawater_temperature.py |    2 +-
 test/test_data_versions_layer.py         |  123 ++
 13 files changed, 1168 insertions(+), 862 deletions(-)
 create mode 100644 test/test_data_versions_layer.py

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index ca26ee533..c2d278bac 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -106,6 +106,10 @@ jobs:
           cutouts
         key: data-cutouts-${{ env.WEEK }}
 
+    - name: Restore git-tracked files in data/
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      run: git checkout HEAD -- data/
+
     - name: Run pylint check on scripts
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
       # check for undefined variables to reuse functions across scripts
diff --git a/config/config.default.yaml b/config/config.default.yaml
index c3ff3d9dd..bb83c1f39 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1299,6 +1299,9 @@ data:
   scigrid_gas:
     source: primary
     version: latest
+  seawater_temperature:
+    source: archive
+    version: latest
   synthetic_electricity_demand:
     source: primary
     version: latest
diff --git a/config/schema.json b/config/schema.json
index 74803a461..4d88a5575 100644
--- a/config/schema.json
+++ b/config/schema.json
@@ -1172,6 +1172,26 @@
             }
           }
         },
+        "seawater_temperature": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
         "synthetic_electricity_demand": {
           "description": "Configuration for a single data source.",
           "properties": {
@@ -12204,6 +12224,26 @@
             }
           }
         },
+        "seawater_temperature": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
         "synthetic_electricity_demand": {
           "description": "Configuration for a single data source.",
           "properties": {
diff --git a/data/versions.csv b/data/versions.csv
index 227a7a1c5..e2e5b508f 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -1,103 +1,126 @@
-"dataset","source","version","tags","url","note"
-"co2stop","archive","26 AUGUST 2020","['latest', 'supported']","https://zenodo.org/records/15837736/files/co2jrc_openformats.zip",""
-"co2stop","primary","26 AUGUST 2020","['latest', 'supported']","https://setis.ec.europa.eu/document/download/786a884f-0b33-4789-b744-28004b16bd1a_en?filename=co2jrc_openformats.zip",""
-"gem_europe_gas_tracker","archive","May 2024","['latest', 'supported']","https://zenodo.org/records/16893480/files/Europe-Gas-Tracker-2024-05.xlsx",""
-"gem_europe_gas_tracker","primary","May 2024","['latest', 'supported']","https://globalenergymonitor.org/wp-content/uploads/2024/05/Europe-Gas-Tracker-2024-05.xlsx",""
-"gem_gspt","archive","April 2024 V1","['latest', 'supported']","https://zenodo.org/records/16893375/files/Global-Steel-Plant-Tracker-April-2024-Standard-Copy-V1.xlsx",""
-"gem_gspt","primary","March-2025 V1","['not-supported']","https://globalenergymonitor.org/wp-content/uploads/2025/03/Plant-level-data-Global-Iron-and-Steel-Tracker-March-2025-V1.xlsx""",""
-"enspreso_biomass","archive","2019-06-20","['latest', 'supported']","https://zenodo.org/records/10356004/files/ENSPRESO_BIOMASS.xlsx",""
-"enspreso_biomass","primary","unknown","['latest', 'supported']","https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx","2019 version was changed in 2023 with negligible differences, but since the version is not frozen we label it as 'unknown'."
-"hotmaps_industrial_sites","archive","Version 0.2.0","['not-supported']","https://zenodo.org/records/4687147/files/industrial_sites_Industrial_Database-1.0.zip",""
-"hotmaps_industrial_sites","archive","Version 1.1","['latest', 'supported']","https://zenodo.org/records/15834781/files/Industrial_Database.csv",""
-"hotmaps_industrial_sites","primary","Version 1.0","['not-supported']","https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/raw/1.0/data/Industrial_Database.csv","Required renaming of country names to work with PyPSA-Eur. This was fixed in the latest version."
-"hotmaps_industrial_sites","primary","unknown","['latest', 'supported']","https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/raw/master/data/Industrial_Database.csv",""
-"nitrogen_statistics","archive","2022","['latest', 'supported']","https://zenodo.org/records/15838121/files/nitro-ert.xlsx",""
-"nitrogen_statistics","primary","2022","['supported']","https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx",""
-"nitrogen_statistics","primary","2023","['latest', 'not-tested']","https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2023-nitro-ERT.xlsx",""
-"eu_nuts2013","archive","2015-12-03","['latest', 'supported']","https://zenodo.org/records/15846347/files/ref-nuts-2013-03m.geojson.zip",""
-"eu_nuts2013","primary","2015-12-03","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2013-03m.geojson.zip"," "
-"eu_nuts2021","archive","2021-01-01","['latest', 'supported']","https://zenodo.org/records/15846440/files/ref-nuts-2021-01m.geojson.zip",""
-"eu_nuts2021","primary","2021-01-01","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2021-01m.geojson.zip",""
-"eurostat_balances","archive","2023-04","['latest', 'supported']","https://zenodo.org/records/15849144/files/balances.zip",""
-"eurostat_balances","primary","2023-04","['latest', 'supported', 'broken link']","https://ec.europa.eu/eurostat/documents/38154/4956218/Balances-April2023.zip","The link is broken, use the archived versions instead."
-"eurostat_household_balances","archive","2025-07-09","['latest', 'supported']","https://zenodo.org/records/15849673/files/nrg_d_hhq.csv",""
-"eurostat_household_balances","primary","unknown","['latest', 'supported']","https://ec.europa.eu/eurostat/databrowser-backend/api/extraction/1.0/LIVE/false/sdmx/csv/nrg_d_hhq__custom_11480365?startPeriod=2013&endPeriod=2022","URL limits the period to 2013-2022, but the data is updated regularly."
-"osm","archive","0.1","['deprecated', 'not-supported']","https://zenodo.org/records/12799202",""
-"osm","archive","0.2","['deprecated', 'not-supported']","https://zenodo.org/records/13342577",""
-"osm","archive","0.3","['deprecated', 'not-supported']","https://zenodo.org/records/13358976",""
-"osm","archive","0.4","['deprecated', 'not-supported']","https://zenodo.org/records/13759222",""
-"osm","archive","0.5","['deprecated', 'not-supported']","https://zenodo.org/records/13981528",""
-"osm","archive","0.6","['latest', 'supported']","https://zenodo.org/records/14144752",""
-"osm","build","unknown","['latest', 'supported']","","Latest dataset built using OSM data. No single URL available to access the data. See the related scripts and documentation for details."
-"wdpa","archive","Jul2025","['latest', 'supported']","https://web.archive.org/web/20250715071823if_/https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_Jul2025_Public_shp.zip","We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it."
-"wdpa","primary","unknown","['latest', 'supported']","https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_{bYYYY}_Public_shp.zip","WDPA changes its URL every month, the URL here is used as a template and {bYYYY} is replaced inside the retrieve.smk."
-"wdpa_marine","archive","Jul2025","['latest', 'supported']","https://web.archive.org/web/20250715084308if_/https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_Jul2025_Public_marine_shp.zip","We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it."
-"wdpa_marine","primary","unknown","['latest', 'supported']","https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_{bYYYY}_Public_marine_shp.zip","WDPA maritime changes its URL every month, the URL here is used as a template and {bYYYY} is replaced inside the retrieve.smk."
-"worldbank_urban_population","archive","2025-08-14","['latest', 'supported']","https://zenodo.org/records/16875854/files/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2_22447.zip",""
-"worldbank_urban_population","primary","unknown","['latest', 'might-work']","https://api.worldbank.org/v2/en/indicator/SP.URB.TOTL.IN.ZS?downloadformat=csv","This is the original World Bank API link, which is sometimes updated; it is not guaranteed to work with the current codebase and data changes without notice."
-"luisa_land_cover","primary","unknown","['latest', 'supported']","https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUISA/EUROPE/Basemaps/LandUse/2018/LATEST/LUISA_basemap_020321_50m.tif",""
-"luisa_land_cover","archive","2021-03-02","['latest', 'supported']","https://zenodo.org/records/15879466/files/LUISA_basemap_020321_50m.tif",""
-"jrc_idees","primary","unknown","['latest', 'supported']","https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/JRC-IDEES/JRC-IDEES-2021_v1/JRC-IDEES-2021.zip",""
-"jrc_idees","archive","2024-05-20","['latest', 'supported']","https://zenodo.org/records/15895830/files/JRC-IDEES-2021.zip",""
-"scigrid_gas","primary","1.1.2","['latest', 'supported']","https://zenodo.org/records/4767098/files/IGGIELGN.zip","the primary is already from Zenodo published by original authors"
-"scigrid_gas","archive","1.1.1","['deprecated', 'not-supported']","https://zenodo.org/records/4751038/files/IGGIELGN.zip",""
-"scigrid_gas","archive","1.1.0","['deprecated', 'not-supported']","https://zenodo.org/records/4642569/files/IGGIELGN.zip",""
-"synthetic_electricity_demand","primary","v2","['latest', 'supported']","https://zenodo.org/records/10820928/files/demand_hourly.csv","the primary is already from Zenodo published by original authors"
-"synthetic_electricity_demand","archive","0.1.0","['deprecated', 'might-work']","https://zenodo.org/records/7070438/files/demand_hourly.csv",""
-"copernicus_land_cover","primary","v3.0.1","['latest', 'supported']","https://zenodo.org/records/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif","The primary is already from Zenodo, documentation in https://zenodo.org/records/4723921"
-"copernicus_land_cover","archive","v2.0.2","['deprecated', 'might-work']","https://zenodo.org/records/3939038/files/PROBAV_LC100_global_v3.0.1_2015-base_Discrete-Classification-map_EPSG-4326.tif",""
-"ship_raster","primary","v5","['latest', 'supported']","https://datacatalogfiles.worldbank.org/ddh-published/0037580/5/DR0045406/shipdensity_global.zip",""
-"ship_raster","archive","v5","['latest', 'supported']","https://zenodo.org/records/16894236/files/shipdensity_global.zip",""
-"eez","primary","v12_20231025","['latest', 'supported']","https://www.marineregions.org/download_file.php","API request used"
-"eez","archive","v12_20231025","['latest', 'supported']","https://zenodo.org/records/16355917/files/World_EEZ_v12_20231025_LR.zip",""
-"nuts3_population","primary","13-03-2025","['latest', 'supported']","https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nama_10r_3popgdp?format=TSV&compressed=true",""
-"nuts3_population","archive","13-03-2025","['latest', 'supported']","https://zenodo.org/records/16551424/files/nama_10r_3popgdp.tsv.gz","earlier part of zenodo bundle"
-"gdp_per_capita","archive","2018-02-06","['latest', 'supported']","https://zenodo.org/records/16556029/files/GDP_per_capita_PPP_1990_2015_v2.nc","Primary link is a direct download, earlier part of zenodo bundle"
-"ghg_emissions","primary","v23","['latest', 'supported']","https://web.archive.org/web/20200622130401if_/https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16/national-greenhouse-gas-inventories-ipcc-common-reporting-format-sector-classification/ascii-delimited-zip-2/at_download/file",""
-"ghg_emissions","archive","v23","['latest', 'supported']","https://zenodo.org/records/16561661/files/UNFCCC_v23.csv","earlier part of databundle"
-"population_count","primary","2018-11-01","['latest', 'supported']","https://data.worldpop.org/GIS/Population/Global_2000_2020/2019/0_Mosaicked/ppp_2019_1km_Aggregated.tif",""
-"population_count","archive","2018-11-01","['latest', 'supported']","https://zenodo.org/records/16558833/files/ppp_2019_1km_Aggregated.tif","earlier part of zenodo bundle"
-"gebco","primary","2014","['latest', 'supported']","https://www.bodc.ac.uk/data/open_download/gebco/GEBCO_30SEC/zip/","The dataset will be cut for the required regions after download"
-"gebco","archive","2014","['latest', 'supported']","https://zenodo.org/records/16810417/files/GEBCO_2014_2D.nc","Earlier part of databundle"
-"attributed_ports","primary","2020-07-10","['latest', 'supported']","https://datacatalogfiles.worldbank.org/ddh-published/0038118/1/DR0046414/attributed_ports.geojson",""
-"attributed_ports","archive","2020-07-10","['latest', 'supported']","https://zenodo.org/records/16810901/files/attributed_ports.json","Moved from github repo `data/` folder"
-"corine","archive","v18_5","['latest', 'supported']","https://zenodo.org/records/16899113/files/corine.zip",""
-"corine","primary","unknown","['latest', 'supported']","","Need to register with CLMS API and create an access token. The download URL is dynamic"
-"emobility","archive","28-08-2016","['latest', 'supported']","https://zenodo.org/records/16899168/files/emobility.zip",""
-"h2_salt_caverns","archive","16-10-2019","['latest', 'supported']","https://zenodo.org/records/16899309/files/h2_salt_caverns_GWh_per_sqkm.geojson",""
-"lau_regions","primary","2019","['latest', 'supported']","https://gisco-services.ec.europa.eu/distribution/v2/lau/download/ref-lau-2019-01m.geojson.zip",""
-"aquifer_data","primary","v1.2","['latest', 'supported']","https://download.bgr.de/bgr/grundwasser/IHME1500/v12/shp/IHME1500_v12.zip",""
-"aquifer_data","archive","v1.2","['latest', 'supported']","https://zenodo.org/records/16946750/files/IHME1500_v12.zip",""
-"lau_regions","archive","2019","['latest', 'supported']","https://zenodo.org/records/16947002/files/ref-lau-2019-01m.geojson.zip",""
-"osm_boundaries","primary","unknown","['latest', 'supported']","","Overpass API is used to fetch the latest available data"
-"osm_boundaries","archive","unknown","['latest', 'supported']","https://zenodo.org/records/16992755/files/osm_boundaries.zip",""
-"tyndp","primary","2024","['latest', 'supported']","https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs",""
-"tyndp","archive","2024","['latest', 'supported']","https://zenodo.org/records/16759672/files",""
-"powerplants","primary","0.7.1","['latest', 'supported']","https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.1/powerplants.csv","Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry."
-"powerplants","primary","0.7.0","['supported']","https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.0/powerplants.csv","Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry."
-"costs","primary","v0.13.4","['latest', 'supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.4/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
-"costs","primary","v0.13.3","['supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.3/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
-"costs","primary","v0.13.2","['supported']","https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.2/outputs","Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry."
-
-"country_runoff","archive","2025-08-13","['latest', 'supported']","https://zenodo.org/records/16849356/files/era5-runoff-per-country.csv",""
-"country_runoff","build","unknown","['latest', 'supported']","","Latest dataset built using ERA5 runoff data. This takes a very long time to build."
-"country_hdd","archive","2025-08-13","['latest', 'supported']","https://zenodo.org/records/16849356/files/era5-HDD-per-country.csv",""
-"country_hdd","build","unknown","['latest', 'supported']","","Latest dataset built using ERA5 runoff data. This takes a very long time to build."
-"natura","archive","2025-08-15","['latest', 'supported']","https://zenodo.org/records/16881818/files/natura.tiff",""
-"natura","archive","v0.8.2","['supported']","https://zenodo.org/records/16874772/files/natura.tiff",""
-"natura","build","unknown","['latest', 'supported']","https://sdi.eea.europa.eu/datashare/s/tWpGXaWdWGYcqsL/download",""
-"bfs_road_vehicle_stock","archive","2024-03-13","['latest', 'supported']","https://raw.githubusercontent.com/PyPSA/pypsa-eur/5b5d308bf70f15dd0b107d8a19c121093dcdd5bd/data/gr-e-11.03.02.01.01-cc.csv",""
-"bfs_road_vehicle_stock","primary","unknown","['latest', 'supported']","https://datawrapper.dwcdn.net/31f3521eddfa82ada1a436983c31caf5/1/dataset.csv","This dataset is not versioned and is updated regularly. The link points to the latest version. More information on the latest update on this website: https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html"
-"bfs_gdp_and_population","archive","2019-03-28","['latest', 'supported']","https://web.archive.org/web/20250818151254if_/https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master",""
-"bfs_gdp_and_population","primary","2019-03-28","['latest', 'supported']","https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master",""
-"mobility_profiles","build","unknown","['latest', 'supported']","https://www.bast.de/videos/{year}_{street_type}_S.zip","Latest dataset built using BASt vehicle monitoring data. The URL is a template that is filled based on the config file, see the documentation for details."
-"mobility_profiles","archive","2025-08-27","['latest', 'supported']","https://zenodo.org/records/16965042/files","New version recreating the dataset from the data bundle."
-"mobility_profiles","archive","2025-08-13","['supported']","https://zenodo.org/records/16964996/files","Data from the original PyPSA-Eur data bundle."
-"cutout","archive","v0.8","['latest', 'supported']","https://zenodo.org/records/15349674","Pre-build cutouts for PyPSA-Eur"
-"cutout","build","unknown","['latest', 'supported']","","Build latest cutouts using ERA5/SARAH3 data."
-"dh_areas","primary","341.5","['latest', 'supported']","https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/2/dh_areas.gpkg",""
-"dh_areas","archive","341.5","['latest', 'supported']","https://zenodo.org/records/17207640/files/dh_areas.gpkg",""
-"geothermal_heat_utilisation_potentials","primary","341.5","['latest', 'supported']","https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/11/Results_DH_Matching_Cluster.xlsx",""
-"geothermal_heat_utilisation_potentials","archive","341.5","['latest', 'supported']","https://zenodo.org/records/17207640/files/Results_DH_Matching_Cluster.xlsx",""
-"jrc_ardeco","primary","2021","['latest', 'supported']","https://territorial.ec.europa.eu/ardeco-api-v2/rest/export/",""
-"jrc_ardeco","archive","2021","['latest', 'supported']","https://zenodo.org/records/17249457/files",""
+dataset,version,source,tags,added,note,url
+aquifer_data,v1.2,primary,latest supported,2025-12-02,,https://download.bgr.de/bgr/grundwasser/IHME1500/v12/shp/IHME1500_v12.zip
+aquifer_data,v1.2,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/aquifer_data/v1.2/IHME1500_v12.zip
+attributed_ports,2020-07-10,primary,latest supported,2025-12-02,,https://datacatalogfiles.worldbank.org/ddh-published/0038118/1/DR0046414/attributed_ports.geojson
+attributed_ports,2020-07-10,archive,latest supported,2026-01-13,Moved from github repo `data/` folder,https://data.pypsa.org/workflows/eur/attributed_ports/2020-07-10/attributed_ports.json
+bfs_gdp_and_population,2019-03-28,primary,latest supported,2025-12-02,,https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master
+bfs_gdp_and_population,2019-03-28,archive,latest supported,2025-12-02,,https://web.archive.org/web/20250818151254if_/https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master
+bfs_road_vehicle_stock,unknown,primary,latest supported,2025-12-02,This dataset is not versioned and is updated regularly. The link points to the latest version. More information on the latest update on this website: https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html,https://datawrapper.dwcdn.net/31f3521eddfa82ada1a436983c31caf5/1/dataset.csv
+bfs_road_vehicle_stock,2024-03-13,archive,latest supported,2025-12-02,,https://raw.githubusercontent.com/PyPSA/pypsa-eur/5b5d308bf70f15dd0b107d8a19c121093dcdd5bd/data/gr-e-11.03.02.01.01-cc.csv
+co2stop,26-august-2020,primary,latest supported,2025-12-02,,https://setis.ec.europa.eu/document/download/786a884f-0b33-4789-b744-28004b16bd1a_en?filename=co2jrc_openformats.zip
+co2stop,26-august-2020,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/co2stop/26-august-2020/co2jrc_openformats.zip
+copernicus_land_cover,v3.0.1,primary,latest supported,2025-12-02,"The primary is already from Zenodo, documentation in https://zenodo.org/records/4723921",https://zenodo.org/records/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif
+copernicus_land_cover,v3.0.1,archive,latest supported,2026-01-20,"The primary is already from Zenodo, documentation in https://zenodo.org/records/4723921",https://data.pypsa.org/workflows/eur/copernicus_land_cover/v3.0.1
+copernicus_land_cover,v2.0.2,archive,deprecated supported,2026-01-13,,https://data.pypsa.org/workflows/eur/copernicus_land_cover/v2.0.2/PROBAV_LC100_global_v3.0.1_2015-base_Discrete-Classification-map_EPSG-4326.tif
+corine,v18_5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/corine/v18_5/corine.zip
+corine,unknown,primary,latest supported,2025-12-02,Need to register with CLMS API and create an access token. The download URL is dynamic,
+costs,v0.13.4,primary,latest supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.4/outputs
+costs,v0.13.4,archive,supported,2026-01-21,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/costs/v0.13.4
+costs,v0.13.3,primary,supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.3/outputs
+costs,v0.13.3,archive,supported,2026-01-20,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/costs/v0.13.3
+costs,v0.13.2,primary,supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.2/outputs
+costs,v0.13.2,archive,supported,2026-01-20,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/costs/v0.13.2
+country_hdd,unknown,build,latest supported,2025-12-02,Latest dataset built using ERA5 runoff data. This takes a very long time to build.,
+country_hdd,2025-08-13,primary,latest supported,2025-12-02,,https://zenodo.org/records/16849356/files/era5-HDD-per-country.csv
+country_hdd,2025-08-13,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/country_hdd/2025-08-13/era5-HDD-per-country.csv
+country_runoff,unknown,build,latest supported,2025-12-02,Latest dataset built using ERA5 runoff data. This takes a very long time to build.,
+country_runoff,2025-08-13,primary,latest supported,2025-12-02,,https://zenodo.org/records/16849356/files/era5-runoff-per-country.csv
+country_runoff,2025-08-13,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/country_runoff/2025-08-13/era5-runoff-per-country.csv
+cutout,v1.0,archive,latest supported,2026-01-13,Pre-build cutouts for PyPSA-Eur,https://data.pypsa.org/workflows/cutout/v1.0
+cutout,unknown,build,latest supported,2025-12-02,Build latest cutouts using ERA5/SARAH3 data.,
+dh_areas,341.5,primary,latest supported,2025-12-02,,https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/2/dh_areas.gpkg
+dh_areas,341.5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/dh_areas/341.5/dh_areas.gpkg
+eez,v12_20231025,primary,latest supported,2025-12-02,API request used,https://www.marineregions.org/download_file.php
+eez,v12_20231025,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/eez/v12_20231025/World_EEZ_v12_20231025_LR.zip
+emobility,28-08-2016,primary,latest supported,2025-12-02,,https://zenodo.org/records/16899168/files/emobility.zip
+emobility,28-08-2016,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/emobility/28-08-2016/emobility.zip
+enspreso_biomass,unknown,primary,latest supported,2025-12-02,"2019 version was changed in 2023 with negligible differences, but since the version is not frozen we label it as 'unknown'.",https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx
+enspreso_biomass,2019-06-20,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/enspreso_biomass/2019-06-20/ENSPRESO_BIOMASS.xlsx
+eu_nuts2013,2015-12-03,primary,latest supported,2025-12-02, ,https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2013-03m.geojson.zip
+eu_nuts2013,2015-12-03,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/eu_nuts2013/2015-12-03/ref-nuts-2013-03m.geojson.zip
+eu_nuts2021,2021-01-01,primary,latest supported,2025-12-02,,https://gisco-services.ec.europa.eu/distribution/v2/nuts/download/ref-nuts-2021-01m.geojson.zip
+eu_nuts2021,2021-01-01,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/eu_nuts2021/2021-01-01/ref-nuts-2021-01m.geojson.zip
+eurostat_balances,2023-04,primary,latest supported broken-link,2025-12-02,"The link is broken, use the archived versions instead.",https://ec.europa.eu/eurostat/documents/38154/4956218/Balances-April2023.zip
+eurostat_balances,2023-04,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/eurostat_balances/2023-04/balances.zip
+eurostat_household_balances,unknown,primary,latest supported,2025-12-02,"URL limits the period to 2013-2022, but the data is updated regularly.",https://ec.europa.eu/eurostat/databrowser-backend/api/extraction/1.0/LIVE/false/sdmx/csv/nrg_d_hhq__custom_11480365?startPeriod=2013&endPeriod=2022
+eurostat_household_balances,2025-07-09,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/eurostat_household_balances/2025-07-09/nrg_d_hhq.csv
+gdp_per_capita,2018-02-06,primary,latest supported,2025-12-02,"Primary link is a direct download, earlier part of zenodo bundle",https://zenodo.org/records/16556029/files/GDP_per_capita_PPP_1990_2015_v2.nc
+gdp_per_capita,2018-02-06,archive,latest supported,2026-01-13,"Primary link is a direct download, earlier part of zenodo bundle",https://data.pypsa.org/workflows/eur/gdp_per_capita/2018-02-06/GDP_per_capita_PPP_1990_2015_v2.nc
+gebco,2014,primary,latest supported,2025-12-02,The dataset will be cut for the required regions after download,https://www.bodc.ac.uk/data/open_download/gebco/GEBCO_30SEC/zip/
+gebco,2014,archive,latest supported,2026-01-13,Earlier part of databundle,https://data.pypsa.org/workflows/eur/gebco/2014/GEBCO_2014_2D.nc
+gem_europe_gas_tracker,may-2024,primary,latest supported,2025-12-02,,https://globalenergymonitor.org/wp-content/uploads/2024/05/Europe-Gas-Tracker-2024-05.xlsx
+gem_europe_gas_tracker,may-2024,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/gem_europe_gas_tracker/may-2024/Europe-Gas-Tracker-2024-05.xlsx
+gem_gspt,march-2025-v1,primary,not-supported,2025-12-02,,https://globalenergymonitor.org/wp-content/uploads/2025/03/Plant-level-data-Global-Iron-and-Steel-Tracker-March-2025-V1.xlsx
+gem_gspt,april-2024-v1,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/gem_gspt/april-2024-v1/Global-Steel-Plant-Tracker-April-2024-Standard-Copy-V1.xlsx
+geothermal_heat_utilisation_potentials,341.5,primary,latest supported,2025-12-02,,https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/11/Results_DH_Matching_Cluster.xlsx
+geothermal_heat_utilisation_potentials,341.5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/geothermal_heat_utilisation_potentials/341.5/Results_DH_Matching_Cluster.xlsx
+ghg_emissions,v23,primary,latest supported,2025-12-02,,https://web.archive.org/web/20200622130401if_/https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16/national-greenhouse-gas-inventories-ipcc-common-reporting-format-sector-classification/ascii-delimited-zip-2/at_download/file
+ghg_emissions,v23,archive,latest supported,2026-01-13,earlier part of databundle,https://data.pypsa.org/workflows/eur/ghg_emissions/v23/UNFCCC_v23.csv
+h2_salt_caverns,16-10-2019,primary,latest supported,2025-12-02,,https://zenodo.org/records/16899309/files/h2_salt_caverns_GWh_per_sqkm.geojson
+h2_salt_caverns,16-10-2019,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/h2_salt_caverns/16-10-2019/h2_salt_caverns_GWh_per_sqkm.geojson
+hotmaps_industrial_sites,version-1.1,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/hotmaps_industrial_sites/version-1.1/Industrial_Database.csv
+hotmaps_industrial_sites,version-1.0,primary,not-supported,2025-12-02,Required renaming of country names to work with PyPSA-Eur. This was fixed in the latest version.,https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/raw/1.0/data/Industrial_Database.csv
+hotmaps_industrial_sites,unknown,primary,latest supported,2025-12-02,,https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/raw/master/data/Industrial_Database.csv
+jrc_ardeco,2021,primary,latest supported,2025-12-02,,https://territorial.ec.europa.eu/ardeco-api-v2/rest/export/
+jrc_ardeco,2021,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/jrc_ardeco/2021
+jrc_idees,unknown,primary,latest supported,2025-12-02,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/JRC-IDEES/JRC-IDEES-2021_v1/JRC-IDEES-2021.zip
+jrc_idees,2024-05-20,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/jrc_idees/2024-05-20/JRC-IDEES-2021.zip
+lau_regions,2019,primary,latest supported,2025-12-02,,https://gisco-services.ec.europa.eu/distribution/v2/lau/download/ref-lau-2019-01m.geojson.zip
+lau_regions,2019,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/lau_regions/2019/ref-lau-2019-01m.geojson.zip
+luisa_land_cover,unknown,primary,latest supported,2025-12-02,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUISA/EUROPE/Basemaps/LandUse/2018/LATEST/LUISA_basemap_020321_50m.tif
+luisa_land_cover,2021-03-02,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/luisa_land_cover/2021-03-02/LUISA_basemap_020321_50m.tif
+mobility_profiles,unknown,build,latest supported,2025-12-02,"Latest dataset built using BASt vehicle monitoring data. The URL is a template that is filled based on the config file, see the documentation for details.",https://www.bast.de/videos/{year}_{street_type}_S.zip
+mobility_profiles,2025-08-27,primary,latest supported,2025-12-02,New version recreating the dataset from the data bundle.,https://zenodo.org/records/16965042/files
+mobility_profiles,2025-08-27,archive,latest supported,2026-01-13,New version recreating the dataset from the data bundle.,https://data.pypsa.org/workflows/eur/mobility_profiles/2025-08-27
+mobility_profiles,2025-08-13,primary,supported,2025-12-02,Data from the original PyPSA-Eur data bundle.,https://zenodo.org/records/16964996/files
+mobility_profiles,2025-08-13,archive,supported,2026-01-13,Data from the original PyPSA-Eur data bundle.,https://data.pypsa.org/workflows/eur/mobility_profiles/2025-08-13
+natura,v0.8.2,primary,supported,2025-12-02,,https://zenodo.org/records/16874772/files/natura.tiff
+natura,v0.8.2,archive,supported,2026-01-13,,https://data.pypsa.org/workflows/eur/natura/v0.8.2/natura.tiff
+natura,unknown,build,latest supported,2025-12-02,,https://sdi.eea.europa.eu/datashare/s/tWpGXaWdWGYcqsL/download
+natura,2025-08-15,primary,latest supported,2025-12-02,,https://zenodo.org/records/16881818/files/natura.tiff
+natura,2025-08-15,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/natura/2025-08-15/natura.tiff
+nitrogen_statistics,2023,primary,not-tested,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2023-nitro-ERT.xlsx
+nitrogen_statistics,2022,primary,latest supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx
+nitrogen_statistics,2022,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
+nuts3_population,13-03-2025,primary,latest supported,2025-12-02,,https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nama_10r_3popgdp?format=TSV&compressed=true
+nuts3_population,13-03-2025,archive,latest supported,2026-01-13,earlier part of zenodo bundle,https://data.pypsa.org/workflows/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz
+osm,unknown,build,latest supported,2025-12-02,Latest dataset built using OSM data. No single URL available to access the data. See the related scripts and documentation for details.,
+osm,0.6,primary,latest supported,2026-01-13,,https://zenodo.org/records/14144752/files
+osm,0.6,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm/0.6
+osm,0.5,primary,deprecated not-supported,2026-01-13,,https://zenodo.org/records/13981528/files
+osm,0.5,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm/0.5
+osm,0.4,primary,deprecated not-supported,2026-01-13,,https://zenodo.org/records/13759222/files
+osm,0.4,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm/0.4
+osm,0.3,primary,deprecated not-supported,2026-01-13,,https://zenodo.org/records/13358976/files
+osm,0.3,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm/0.3
+osm,0.2,primary,deprecated not-supported,2026-01-13,,https://zenodo.org/records/13342577/files
+osm,0.2,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm/0.2
+osm,0.1,primary,deprecated not-supported,2026-01-13,,https://zenodo.org/records/12799202/files
+osm,0.1,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm/0.1
+osm_boundaries,unknown,primary,latest supported,2025-12-02,Overpass API is used to fetch the latest available data,
+osm_boundaries,unknown,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/osm_boundaries/unknown/osm_boundaries.zip
+population_count,2018-11-01,primary,latest supported,2025-12-02,,https://data.worldpop.org/GIS/Population/Global_2000_2020/2019/0_Mosaicked/ppp_2019_1km_Aggregated.tif
+population_count,2018-11-01,archive,latest supported,2026-01-13,earlier part of zenodo bundle,https://data.pypsa.org/workflows/eur/population_count/2018-11-01/ppp_2019_1km_Aggregated.tif
+powerplants,0.7.1,primary,latest supported,2025-12-02,"Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.1/powerplants.csv
+powerplants,0.7.1,archive,latest supported,2026-01-20,"Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/powerplants/0.7.1
+powerplants,0.7.0,primary,supported,2025-12-02,"Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.0/powerplants.csv
+powerplants,0.7.0,archive,supported,2026-01-20,"Part of the `powerplantmatching` package and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/powerplants/0.7.0
+scigrid_gas,1.1.2,primary,latest supported,2025-12-02,the primary is already from Zenodo published by original authors,https://zenodo.org/records/4767098/files/IGGIELGN.zip
+scigrid_gas,1.1.2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.2
+scigrid_gas,1.1.1,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.1/IGGIELGN.zip
+scigrid_gas,1.1.0,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.0/IGGIELGN.zip
+seawater_temperature,v1.0,primary,latest supported,2026-01-21,Test cutout seawater temperature,https://zenodo.org/records/15828866/files/seawater_temperature.nc
+seawater_temperature,v1.0,archive,latest supported,2026-01-21,Test cutout seawater temperature,https://data.pypsa.org/workflows/eur/seawater_temperature/v1.0/seawater_temperature.nc
+ship_raster,v5,primary,latest supported,2025-12-02,,https://datacatalogfiles.worldbank.org/ddh-published/0037580/5/DR0045406/shipdensity_global.zip
+ship_raster,v5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/ship_raster/v5/shipdensity_global.zip
+synthetic_electricity_demand,v2,primary,latest supported,2025-12-02,the primary is already from Zenodo published by original authors,https://zenodo.org/records/10820928/files/demand_hourly.csv
+synthetic_electricity_demand,v2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/v2
+synthetic_electricity_demand,0.1.0,archive,deprecated might-work,2026-01-13,,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/0.1.0/demand_hourly.csv
+tyndp,2024,primary,latest supported,2025-12-02,,https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs
+tyndp,2024,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/tyndp/2024
+wdpa,unknown,primary,latest supported,2025-12-02,"WDPA changes its URL every month, the URL here is used as a template and {bYYYY} is replaced inside the retrieve.smk.",https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_{bYYYY}_Public_shp.zip
+wdpa,2025-07,archive,latest supported,2025-12-02,"We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it.",https://web.archive.org/web/20250715071823if_/https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_Jul2025_Public_shp.zip
+wdpa_marine,unknown,primary,latest supported,2025-12-02,"WDPA maritime changes its URL every month, the URL here is used as a template and {bYYYY} is replaced inside the retrieve.smk.",https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_{bYYYY}_Public_marine_shp.zip
+wdpa_marine,2025-07,archive,latest supported,2025-12-02,"We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it.",https://web.archive.org/web/20250715084308if_/https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_Jul2025_Public_marine_shp.zip
+worldbank_urban_population,unknown,primary,latest might-work,2025-12-02,"This is the original World Bank API link, which is sometimes updated; it is not guaranteed to work with the current codebase and data changes without notice.",https://api.worldbank.org/v2/en/indicator/SP.URB.TOTL.IN.ZS?downloadformat=csv
+worldbank_urban_population,2025-08-14,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/worldbank_urban_population/2025-08-14/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2_22447.zip
diff --git a/doc/contributing.rst b/doc/contributing.rst
index c8d4f59d5..bc19ef0bf 100644
--- a/doc/contributing.rst
+++ b/doc/contributing.rst
@@ -10,12 +10,23 @@ We welcome anyone interested in contributing to this project, be it with new
 ideas, suggestions, by filing bug reports or contributing code to our `GitHub
 repository <https://github.com/PyPSA/PyPSA-Eur>`_.
 
+.. toctree::
+   :maxdepth: 1
+
+   validation_dev
+
+Where to start
+================
+
 * If you already have some code changes, you can submit them directly as a `pull request <https://github.com/PyPSA/pypsa-eur/pulls>`_.
 * If you are wondering where we would greatly appreciate your efforts, check out the ``help wanted`` tag in the `issues list <https://github.com/PyPSA/pypsa-eur/issues>`_ and initiate a discussion there.
 * If you start working on a feature in the code, let us know by opening an issue or a draft pull request.
   This helps all of us to keep an overview on what is being done and helps to avoid a situation where we
   are doing the same work twice in parallel.
 
+Setting up the development environment
+========================================
+
 For linting, formatting and checking your code contributions
 against our guidelines (e.g. we use `Black <https://github.com/psf/black>`_ as code style
 use `pre-commit <https://pre-commit.com/index.html>`_:
@@ -45,9 +56,3 @@ We strive to keep documentation useful and up to date for all PyPSA users. If yo
 #. Compile your changes by running the following command in your terminal in the ``doc`` folder: ``pixi run build-docs doc/_build html``
    You may encounter some warnings, but end up with a message such as ``build succeeded, XX warnings.``. html files to review your changes can then be found under ``doc/_build/html``.
 #. Contribute your documentation in a pull request (`here is a guide <https://help.github.com/en/articles/about-pull-requests>`_).
-
-.. toctree::
-   :maxdepth: 1
-   :caption: Developer Guides
-
-   validation_dev
diff --git a/doc/data_sources.rst b/doc/data_sources.rst
index d510cfb4a..858c01042 100644
--- a/doc/data_sources.rst
+++ b/doc/data_sources.rst
@@ -18,88 +18,77 @@ data sources.
 
 .. _managing_data_versions:
 
-######################
-Managing Data Versions
-######################
+#################
+Data Versioning
+#################
 
 Many of the data sources used in PyPSA-Eur are updated regularly.
-To ensure reproducibility, PyPSA-Eur uses a versioning system for data sources which allows users to select specific versions of the data sources to use in their models.
+To ensure reproducibility, PyPSA-Eur uses a versioning system for data sources which
+allows users to select specific versions of the data sources to use in their models.
+Next to the versioning and if the license allows, most datasets are also mirrored to a
+public file storage for the repository under ``https://data.pypsa.org``.
 
 .. note::
-    For users, selection and control over which is managed through the configuration file.
-    See :ref:`data_cf` for details.
-
-##########################################
-Creating a new version of the data sources
-##########################################
-
-To create a new version of the data sources, you can use the helper script in ``scripts/create_zenodo_deposition_cli.py``.
-Here are the steps that this script helps you to navigate:
-
-1. Locate the data for the new version and place it under ``data/<dataset_name>/archive/<version>/``.
-   E.g. for creating a new version ``2029-01-01`` of the ``worldbank_population`` dataset, place the data into a folder named ``data/worldbank_population/archive/2029-01-01/``.
-   We follow the versioning names of the original dataset, so make sure to use the same version name as the original dataset.
-2. If you want to use the script, run it now. It will guide you through the process outlined below.
-3. Create a new Zenodo deposition for the new version of the data.
-   You can do this by visiting the Zenodo website and creating a new deposition.
-
-   * All relevant metadata, such as the title, description, and keywords based on the previous version of the dataset and make changes as needed.
-   * Make sure to add the previous version Zenodo deposit as a related identifier with the relation "is new version of", "doi" as the identifier scheme, and the DOI of the previous version as the identifier.
-   * Upload the data files from the ``data/<dataset_name>/archive/<version>/`` folder to the Zenodo deposition.
-
-4. Once the deposition is complete, publish it on Zenodo.
-5. Update ``data/versions.csv`` to include the new version of the dataset.
-
-   * Create a new row in the CSV file based on the previous version, updating the version number and Zenodo URL
-   * Make sure to tag this new version with the tags ``['latest', 'supported']``.
-   * Remove the ``latest`` tag from the previous version.
-   * If the previous version is no longer supported or outdated, remove the ``supported`` tag and add the ``deprecated`` tag.
-
-6. Commit the changes to the repository and create a pull request.
-
-########################
-Adding a new data source
-########################
-
-The process of adding a new data source is similar to creating a new version of an existing data source, with some additional steps.
-It is also possible to use the helper script in ``scripts/create_zenodo_deposition_cli.py`` to guide you through the process.
-
-1. Create a new folder for the new data source in the ``data/`` directory, e.g. ``data/my_new_data_source/``.
-2. Place the data files for the new data source in the ``data/<dataset_name>/archive/<version>/`` folder.
-   We follow the versioning names of the original dataset, so make sure to use the same version name as the original dataset.
-3. If you want to use the script, run it now. It will guide you through the process outlined below.
-4. Create a new Zenodo deposition for the new data source.
-   You can do this by visiting the Zenodo website and creating a new deposition.
-
-   * Add all relevant metadata, such as the title, authors, description, keywords.
-   * When adding the license, make sure that the license of the dataset is compatible with redistribution (i.e. uploading to Zenodo). Most of our data is originally CC-BY-4.0 licensed. If you have doubts about the license, reach out to the maintainers.
-   * Make sure to set the version name to be the same as the version name used for the data files, e.g. ``2029-01-01``.
-   * Upload the data files from the ``data/<dataset_name>/archive/<version>/`` folder to the Zenodo deposition. 
-
-5. Once the deposition is complete, publish it on Zenodo.
-6. Update ``data/versions.csv`` to include the new data source.
-   Create a new row in the CSV file with the following columns:
-
-   * ``dataset``: The name of the dataset as used in the folder name, e.g. ``my_new_data_source``.
-   * ``source``: The source of the dataset. For Zenodo uploads the source is by definition ``archive``.
-   * ``version``: The version name of the dataset as used in the folder name, e.g. ``2029-01-01``.
-   * ``tags``: A list of tags for the dataset. Make sure to include ``latest`` and ``supported`` tags.
-   * ``url``: The link to the Zenodo deposition of the dataset, e.g. ``https://zenodo.org/record/<zenodo_id>``. Check whether the respective ``retrieve_<dataset_name>`` rule in ``rules/retrieve.smk`` requires a direct download link or the link to the Zenodo record.
-   * ``note``: An optional note about the dataset.
-
-7. Implement a ``retrieve`` rule for your dataset in ``rules/retrieve.smk``.
-   This rule should download the data from the Zenodo deposition and place it in the ``data/<dataset_name>/archive/<version>/`` folder.
-   Take inspiration from existing rules in the file, e.g. the ``rule retrieve_worldbank_urban_population``.
-8. Add an additional rule for the ``primary`` source of the data, i.e. the original source of the data.
-   You may be able to use the same rule for ``archive`` and ``primary`` sources, but sometimes dedicated rules are needed.
-   Create an entry in ``data/versions.csv`` for the ``primary`` source as well, with the URL pointing to the original source of the data.
-   Again, take inspiration from existing rules in the file, e.g. the ``rule retrieve_worldbank_urban_population_primary``.
-   This rule will also help us in the future to update to new versions of the data set.
-9. Add the new data source to the
-
-   * ``data`` section in the configuration file ``config/config.default.yaml``
-   * ``doc/configtables/data.csv`` for the documentation
-   * ``data_sources.rst`` data inventory for PyPSA-Eur
+    For users, selection and control over which data sources to use is managed through the configuration file.
+    See :ref:`data_cf` for details. In most cases you just wanna stick with the latest archive
+    version. Reproducibility is given even when using the ``latest`` tag via the
+    ``versions.csv``, which is version controlled.
+
+*****************************
+Understanding ``versions.csv``
+*****************************
+
+The file ``data/versions.csv`` is the central registry for all data sources and their versions.
+Each row defines a specific version of a dataset with the following columns:
+
+* ``dataset``: The name of the dataset (e.g., ``worldbank_urban_population``).
+* ``version``: The version identifier, typically following the original data source's versioning (e.g., ``2025-08-14``).
+* ``source``: The source type - ``primary`` (original data source), ``archive`` (mirrored copy on ``data.pypsa.org``), or ``build`` (generated from other data).
+* ``tags``: Space-separated tags like ``latest``, ``supported`` or ``deprecated``.
+* ``added``: The date when this entry was added to the registry.
+* ``note``: Optional notes about the dataset or version.
+* ``url``: The download URL for the data.
+
+Entries to the ``versions.csv`` are never deleted and if a dataset was removed or is not available, the entry is marked as ``deprecated``.
+
+.. note::
+    For ``primary`` sources, each combination of dataset and version should point to a specific version of that dataset with a unique URL.
+    If the original data source does not provide versioned URLs (i.e., the URL always points to the latest data), the ``version`` is set to ``unknown``.
+    In this case, the corresponding ``archive`` entries do not mirror the same version but represent snapshots taken at specific points in time from that primary source.
+
+*******************************
+Adding a new version of a dataset
+*******************************
+
+If you notice that a data source has been updated and want to add the new version to PyPSA-Eur:
+
+1. Add a new row to ``data/versions.csv`` with the same ``dataset`` name, the new ``version``, ``source`` set to ``primary``, and the ``url`` pointing to the original data source.
+2. Set appropriate tags (typically ``latest supported``).
+3. Update the tags of the previous version (remove ``latest``, keep ``supported`` if still compatible).
+4. Create a pull request with your changes.
+5. Of course, any potential workflow adjustments should be considered and implemented as well.
+
+.. note::
+    If the ``primary`` source has ``version`` set to ``unknown`` (i.e., the URL always points to the latest data) and a new version is available that has not been archived yet, please open an issue on the `PyPSA-Eur GitHub repository <https://github.com/pypsa/pypsa-eur/issues>`_ to request an archive update.
+
+*********************
+Adding a new dataset
+*********************
+
+To add a completely new data source to PyPSA-Eur:
+
+1. Add a ``primary`` entry to ``data/versions.csv`` with a new unique dataset name, version, and URL pointing to the original data source.
+2. Implement a ``retrieve`` rule for your dataset in ``rules/retrieve.smk``.
+   Take inspiration from existing rules in the file.
+3. Add the new data source to:
+
+   * ``data`` section in the pydantic schema ``scripts/lib/validation/config/data.py``
+   * ``data_inventory.csv`` data inventory for PyPSA-Eur
+
+4. Create a pull request with your changes.
+
+.. note::
+    Maintainers of the repository will create the corresponding ``archive`` entry after reviewing your contribution.
 
 ##############
 Data inventory
diff --git a/pixi.lock b/pixi.lock
index f0b0d0474..776de8a1b 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,6 +5,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -28,7 +30,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py313h78bf25f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.1.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.5-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
@@ -61,8 +63,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.30-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.27-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.27-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
@@ -81,7 +83,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1.2-pyhd8ed1ab_0.conda
@@ -98,7 +100,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/configargparse-1.7.1-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313h7037e92_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/country_converter-1.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cppad-20250000.2-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.11-py313hd8ed1ab_100.conda
@@ -106,8 +108,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hd9c7081_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py313h07c4f96_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.1-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-core-2026.1.1-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-2025.12.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-core-2025.12.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.18-py313h5d5ffb9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.2.1-pyhd8ed1ab_0.conda
@@ -117,7 +119,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dill-0.4.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2026.1.1-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2025.12.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
@@ -165,13 +167,13 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.29.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.47.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.8.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.1-h8b86629_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.0-h8b86629_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py313h2b3948d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/grpcio-status-1.73.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.43-h993cebd_6.conda
@@ -179,7 +181,7 @@ environments:
       - conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.0-py313_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.7.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.15.1-nompi_py313h253c126_101.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-12.3.0-h6083320_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
@@ -225,7 +227,7 @@ environments:
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_1.conda
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-  md5: 076afc646e5b800ab4adece0310795db
+  size: 15031996
+  timestamp: 1768135993446
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_0.conda
+  sha256: 4f7a16fe54aeb00b01d6de0ceec91f33bd7b5f7b00e3db6f8f4e27a5ed85bff3
+  md5: ed17a993814b8dcce1e41abf6ab1d69a
   depends:
   - __osx >=10.13
   - libblas >=3.9.0,<4.0a0
@@ -27898,11 +27990,11 @@ packages:
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 15299524
-  timestamp: 1768800867425
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
-  sha256: a204b9b3a59a88a320d9da772eecda58242cfaaf785119927eb59c4bdc6fa66f
-  md5: 1f5a9253e1c3484a5c1df0b8145a9ce3
+  size: 15149146
+  timestamp: 1768135887892
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_0.conda
+  sha256: 9e83c5480ee720d77ce59faef33741f95a29468036c8841074666fcb8a5891b0
+  md5: 4352d288e44425e31f980bad3dfef21a
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -27919,11 +28011,11 @@ packages:
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 13802410
-  timestamp: 1768801119235
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_1.conda
-  sha256: 2ea17fc46533e8789881732f42265e32c7ae376344cc3d53683e7b2179d947bb
-  md5: 5b73b1e6d191aac48960c50d65372f19
+  size: 13640513
+  timestamp: 1768136071553
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_0.conda
+  sha256: c4970221efaba1ab16725adbf90492f4e0cabb9a6908ebf8e31bebde737775ac
+  md5: 9820f8f7d2f7b973e0b71c00adb32172
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -27940,11 +28032,11 @@ packages:
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 13888560
-  timestamp: 1768801587965
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_1.conda
-  sha256: 0f90709b8b8ffa3f3f8a3e023154be77e3fe7dbeda3de3d62479c862111761f2
-  md5: da72702707bdb757ad57637815f165b1
+  size: 13797227
+  timestamp: 1768136452348
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_0.conda
+  sha256: 6f05352d921f1914f54c7805368842c07c116dee7ede90ed031a811d2a4efdcf
+  md5: b6edf419055109b566cd1e127dc81163
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -27959,11 +28051,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 14843889
-  timestamp: 1768801821822
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_1.conda
-  sha256: 9da71fa94c2de66f5d1eb7d926f655efadf8c4e0a6b6e934a45adaeea0905e9b
-  md5: b54fb98c96446df58e04957b6c98520e
+  size: 14944653
+  timestamp: 1768137048439
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_0.conda
+  sha256: 1ee7142b35b5d0a9141735d04bba2ae02b5ee4f056b57774a7c1fd84cf0cd9da
+  md5: 94daca8e09c661a3445476c720fc3e6a
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -27978,8 +28070,8 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 14986564
-  timestamp: 1768801809920
+  size: 15023367
+  timestamp: 1768136974347
 - conda: https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_3.conda
   noarch: python
   sha256: ea29a69b14dd6be5cdeeaa551bf50d78cafeaf0351e271e358f9b820fcab4cb0
@@ -28025,7 +28117,6 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
-  license_family: BSD
   size: 22409
   timestamp: 1768402460843
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh6dadd2b_0.conda
@@ -28037,7 +28128,6 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
-  license_family: BSD
   size: 22700
   timestamp: 1768402455730
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyha191276_0.conda
@@ -28048,7 +28138,6 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
-  license_family: BSD
   size: 23960
   timestamp: 1768402421616
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
@@ -28335,9 +28424,9 @@ packages:
   license: MIT
   size: 21016
   timestamp: 1767973148161
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.8-pyhdfd78af_0.conda
-  sha256: 9c554aecd80e3d20802c51c26a83bab47ee50454a95003c3963d8082475fb1f6
-  md5: 92e16eddc99856bcd10440c53cc3de33
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.6-pyhdfd78af_0.conda
+  sha256: e2fefd9a4b26adf874c236aef35c3b2e31441a949c38a4f2c3e69b99a7cdcdd2
+  md5: b4f16a0bcc52274012b0b14a2a6063b3
   depends:
   - appdirs
   - conda-inject >=1.3.1,<2.0
@@ -28371,8 +28460,8 @@ packages:
   - yte >=1.5.5,<2.0
   license: MIT
   license_family: MIT
-  size: 869837
-  timestamp: 1768573030175
+  size: 870130
+  timestamp: 1767893673282
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda
   sha256: c51ed19c29b1acd2fcae120b16fa60bacc5ce2e3086c3175f7cf2fe50c1a5137
   md5: 17232431f65ce347f972f0fd95d2e97a
@@ -28485,15 +28574,15 @@ packages:
   license_family: APACHE
   size: 28657
   timestamp: 1738440459037
-- conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.2-pyhd8ed1ab_0.conda
-  sha256: aacc87d88795ef887b89fe9401d1092312c43371d1ba92340d8924da1a982b6a
-  md5: fcbe3971b6017792e9b24ff451daa7f5
+- conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.1-pyhd8ed1ab_0.conda
+  sha256: 4ba9b8c45862e54d05ed9a04cc6aab5a17756ab9865f57cbf2836e47144153d2
+  md5: 7de28c27fe620a4f7dbfaea137c6232b
   depends:
   - python >=3.10
   license: MIT
   license_family: MIT
-  size: 38091
-  timestamp: 1768776629384
+  size: 37951
+  timestamp: 1766075884412
 - conda: https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda
   sha256: 995f58c662db0197d681fa345522fd9e7ac5f05330d3dff095ab2f102e260ab0
   md5: f7af826063ed569bb13f7207d6f949b0
@@ -29122,15 +29211,15 @@ packages:
   license_family: MIT
   size: 21453
   timestamp: 1768146676791
-- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.14.0-pyha770c72_0.conda
-  sha256: b35082091c8efd084e51bc3a4a2d3b07897eff232aaf58cbc0f959b6291a6a93
-  md5: 385dca77a8b0ec6fa9b92cb62d09b43b
+- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.13.3-pyha770c72_0.conda
+  sha256: f8d3b49c084831a20923f66826f30ecfc55a4cd951e544b7213c692887343222
+  md5: 146402bf0f11cbeb8f781fa4309a95d3
   depends:
-  - python >=3.10
+  - python >=3.9
   license: MIT
   license_family: MIT
-  size: 39224
-  timestamp: 1768476626454
+  size: 38777
+  timestamp: 1749127286558
 - conda: https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda
   sha256: 4e379e1c18befb134247f56021fdf18e112fb35e64dd1691858b0a0f3bea9a45
   md5: c07a6153f8306e45794774cf9b13bd32
@@ -29296,6 +29385,20 @@ packages:
   license_family: MIT
   size: 220388
   timestamp: 1750060333624
+- conda: https://conda.anaconda.org/conda-forge/noarch/typeguard-4.4.4-pyhd8ed1ab_0.conda
+  sha256: 591e03a61b4966a61b15a99f91d462840b6e77bf707ecb48690b24649fee921a
+  md5: 8b2613dbfd4e2bc9080b2779b53fc210
+  depends:
+  - importlib-metadata >=3.6
+  - python >=3.9
+  - typing-extensions >=4.10.0
+  - typing_extensions >=4.14.0
+  constrains:
+  - pytest >=7
+  license: MIT
+  license_family: MIT
+  size: 35158
+  timestamp: 1750249264892
 - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
   sha256: 7c2df5721c742c2a47b2c8f960e718c930031663ac1174da67c1ed5999f7938c
   md5: edd329d7d3a4ab45dcf905899a7a6115
@@ -29325,6 +29428,17 @@ packages:
   license_family: PSF
   size: 51692
   timestamp: 1756220668932
+- conda: https://conda.anaconda.org/conda-forge/noarch/typing_inspect-0.9.0-pyhd8ed1ab_1.conda
+  sha256: a3fbdd31b509ff16c7314e8d01c41d9146504df632a360ab30dbc1d3ca79b7c0
+  md5: fa31df4d4193aabccaf09ce78a187faf
+  depends:
+  - mypy_extensions >=0.3.0
+  - python >=3.9
+  - typing_extensions >=3.7.4
+  license: MIT
+  license_family: MIT
+  size: 14919
+  timestamp: 1733845966415
 - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda
   sha256: 3088d5d873411a56bf988eee774559335749aed6f6c28e07bf933256afb9eb6c
   md5: f6d7aa696c67756a650e91e15e88223c
@@ -30336,43 +30450,43 @@ packages:
   license_family: BSD
   size: 51128
   timestamp: 1763813786075
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.2-ha02ee65_0.conda
-  sha256: 6d60b1870bdbbaf098bbc7d69e4f4eccb8a6b5e856c2d0aca3c62c0db97e0863
-  md5: d34b831f6d6a9b014eb7cf65f6329bba
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.1-hbcc6ac9_2.conda
+  sha256: 802725371682ea06053971db5b4fb7fbbcaee9cb1804ec688f55e51d74660617
+  md5: 68eae977d7d1196d32b636a026dc015d
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=14
-  - liblzma 5.8.2 hb03c661_0
-  - liblzma-devel 5.8.2 hb03c661_0
-  - xz-gpl-tools 5.8.2 ha02ee65_0
-  - xz-tools 5.8.2 hb03c661_0
+  - libgcc >=13
+  - liblzma 5.8.1 hb9d3cd8_2
+  - liblzma-devel 5.8.1 hb9d3cd8_2
+  - xz-gpl-tools 5.8.1 hbcc6ac9_2
+  - xz-tools 5.8.1 hb9d3cd8_2
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 24101
-  timestamp: 1768752698238
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.2-ha02ee65_0.conda
-  sha256: a4876e9fb124665315aedfe96b1a832e2c26312241061d5f990208aaf380da46
-  md5: a159fe1e8200dd67fa88ddea9169d25a
+  size: 23987
+  timestamp: 1749230104359
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.1-hbcc6ac9_2.conda
+  sha256: 840838dca829ec53f1160f3fca6dbfc43f2388b85f15d3e867e69109b168b87b
+  md5: bf627c16aa26231720af037a2709ab09
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=14
-  - liblzma 5.8.2 hb03c661_0
+  - libgcc >=13
+  - liblzma 5.8.1 hb9d3cd8_2
   constrains:
-  - xz 5.8.2.*
+  - xz 5.8.1.*
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 33774
-  timestamp: 1768752679459
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.2-hb03c661_0.conda
-  sha256: 65c8a236b89a4ad24565a986b7c00b8cb2906af52fd9963730c44ea56a9fde9a
-  md5: dfd6129671f782988d665354e7aa269d
+  size: 33911
+  timestamp: 1749230090353
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.1-hb9d3cd8_2.conda
+  sha256: 58034f3fca491075c14e61568ad8b25de00cb3ae479de3e69be6d7ee5d3ace28
+  md5: 1bad2995c8f1c8075c6c331bf96e46fb
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=14
-  - liblzma 5.8.2 hb03c661_0
+  - libgcc >=13
+  - liblzma 5.8.1 hb9d3cd8_2
   constrains:
-  - xz 5.8.2.*
+  - xz 5.8.1.*
   license: 0BSD AND LGPL-2.1-or-later
-  size: 96093
-  timestamp: 1768752662020
+  size: 96433
+  timestamp: 1749230076687
 - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
   sha256: 6d9ea2f731e284e9316d95fa61869fe7bbba33df7929f82693c121022810f4ad
   md5: a77f85f77be52ff59391544bfe73390a
diff --git a/pixi.toml b/pixi.toml
index 1cf71c39d..0e37d2955 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -98,6 +98,8 @@ xarray = ">=2024.3.0,<2025.7.0"
 xlrd = ">=2.0.2"
 yaml = ">=0.2.5"
 snakemake-storage-plugin-cached-http = ">=0.1.0"
+pandera = ">=0.28.1"
+natsort = ">=8.4.0"
 snakemake-logger-plugin-pypsa = ">=0.1.0"
 
 [feature.doc.tasks.build-docs]
diff --git a/rules/common.smk b/rules/common.smk
index 6d752cf97..168cdfd84 100644
--- a/rules/common.smk
+++ b/rules/common.smk
@@ -93,10 +93,8 @@ def load_data_versions(file_path):
         comment="#",
     )
 
-    # Turn 'tags' column from string representation of list to individual columns
-    data_versions["tags"] = data_versions["tags"].apply(
-        lambda x: json.loads(x.replace("'", '"'))
-    )
+    # Turn space-separated tags into individual columns
+    data_versions["tags"] = data_versions["tags"].str.split()
     exploded = data_versions.explode("tags")
     dummies = pd.get_dummies(exploded["tags"], dtype=bool)
     tags_matrix = dummies.groupby(dummies.index).max()
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 8861f78d4..4df7ab1e1 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -342,7 +342,7 @@ if (CUTOUT_DATASET := dataset_version("cutout"))["source"] in [
         message:
             "Retrieving cutout data for {wildcards.cutout}"
         input:
-            storage(CUTOUT_DATASET["url"] + "/files/{cutout}.nc"),
+            storage(CUTOUT_DATASET["url"] + "/{cutout}.nc"),
         output:
             CUTOUT_DATASET["folder"] + "/{cutout}.nc",
         log:
@@ -937,7 +937,7 @@ if OSM_DATASET["source"] in ["archive"]:
             "Retrieving OSM archive data"
         input:
             **{
-                file: storage(f"{OSM_DATASET['url']}/files/{file}")
+                file: storage(f"{OSM_DATASET['url']}/{file}")
                 for file in OSM_ARCHIVE_FILES
             },
         output:
@@ -1108,6 +1108,7 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
             "Retrieving seawater temperature data for {wildcards.year}"
         params:
             default_cutout=config_provider("atlite", "default_cutout"),
+            test_data_url=dataset_version("seawater_temperature")["url"],
         output:
             seawater_temperature="data/seawater_temperature_{year}.nc",
         log:
diff --git a/scripts/lib/validation/config/data.py b/scripts/lib/validation/config/data.py
index 0fa614e34..1c3657032 100644
--- a/scripts/lib/validation/config/data.py
+++ b/scripts/lib/validation/config/data.py
@@ -95,6 +95,10 @@ class DataConfig(BaseModel):
         default_factory=lambda: _DataSourceConfig(source="primary"),
         description="SciGRID Gas data source configuration.",
     )
+    seawater_temperature: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Seawater temperature data source configuration.",
+    )
     synthetic_electricity_demand: _DataSourceConfig = Field(
         default_factory=lambda: _DataSourceConfig(source="primary"),
         description="Synthetic electricity demand data source configuration.",
diff --git a/scripts/retrieve_seawater_temperature.py b/scripts/retrieve_seawater_temperature.py
index c6f63df33..84646fd15 100644
--- a/scripts/retrieve_seawater_temperature.py
+++ b/scripts/retrieve_seawater_temperature.py
@@ -68,7 +68,7 @@
     if snakemake.params.default_cutout == "be-03-2013-era5":
         logger.info("Retrieving test-cutout seawater temperature data.")
 
-        url = "https://zenodo.org/records/15828866/files/seawater_temperature.nc"
+        url = snakemake.params.test_data_url
 
         response = requests.get(url, stream=True)
         response.raise_for_status()
diff --git a/test/test_data_versions_layer.py b/test/test_data_versions_layer.py
new file mode 100644
index 000000000..3e54da904
--- /dev/null
+++ b/test/test_data_versions_layer.py
@@ -0,0 +1,123 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+from datetime import date
+from pathlib import Path
+
+import pandas as pd
+import pandera.pandas as pa
+from natsort import natsort_keygen
+from pandera.pandas import Check, Column
+
+VERSIONS_CSV = Path(__file__).parent.parent / "data" / "versions.csv"
+VALID_SOURCES = ["primary", "archive", "build"]  # Order defines sort priority
+
+VALID_TAGS = {
+    "latest",
+    "supported",
+    "not-supported",
+    "deprecated",
+    "might-work",
+    "not-tested",
+    "broken-link",
+}
+
+not_empty = [Check.str_length(min_value=1), Check.str_matches(r"\S")]
+valid_tags = Check(lambda s: all(t in VALID_TAGS for t in s.split()), element_wise=True)
+url_safe = Check.str_matches(
+    r"^[a-z0-9_\-\.]+$",
+    error="Version must be URL-safe (only alphanumeric, hyphen, underscore, dot)",
+)
+
+
+def sort_versions(df: pd.DataFrame) -> pd.DataFrame:
+    """Sort by dataset (asc), version (desc, natural), source (as predefined)."""
+    natsort_key = natsort_keygen(key=str.casefold)
+    df = df.copy()
+    df["source"] = pd.Categorical(df["source"], categories=VALID_SOURCES, ordered=True)
+    df = df.sort_values(
+        by=["dataset", "version", "source"],
+        key=lambda c: c.map(natsort_key) if c.name != "source" else c,
+        ascending=[True, False, True],
+    ).reset_index(drop=True)
+    df["source"] = df["source"].astype(str)
+    return df
+
+
+is_sorted = Check(lambda df: df.equals(sort_versions(df)), error="Data must be sorted")
+archive_has_url = Check(
+    lambda df: df.loc[df["source"] == "archive", "url"].str.len().gt(0).all(),
+    error="Archive entries must have a URL",
+)
+one_latest_per_dataset_source = Check(
+    lambda df: df[df["tags"].str.contains("latest")]
+    .groupby(["dataset", "source"])
+    .size()
+    .eq(1)
+    .all(),
+    error="Exactly one 'latest' tag required per dataset/source combination",
+)
+latest_same_version_across_sources = Check(
+    lambda df: df[(df["tags"].str.contains("latest")) & (df["version"] != "unknown")]
+    .groupby("dataset")["version"]
+    .nunique()
+    .le(1)
+    .all(),
+    error="All 'latest' entries for a dataset must have the same version across sources (excluding 'unknown')",
+)
+VersionsSchema = pa.DataFrameSchema(
+    {
+        "dataset": Column(str, not_empty, nullable=False),
+        "version": Column(str, not_empty + [url_safe], nullable=False),
+        "source": Column(str, Check.isin(VALID_SOURCES)),
+        "tags": Column(str, valid_tags, nullable=False),
+        "added": Column(
+            str,
+            Check.str_matches(r"^\d{4}-\d{2}-\d{2}$"),
+            nullable=False,
+            coerce=True,
+            default=date.today().isoformat(),
+        ),
+        "note": Column(str, nullable=True),
+        "url": Column(str, nullable=True),
+    },
+    checks=[
+        is_sorted,
+        archive_has_url,
+        one_latest_per_dataset_source,
+        latest_same_version_across_sources,
+    ],
+    coerce=True,
+    strict=True,
+    ordered=True,
+    unique=["dataset", "version", "source"],
+)
+
+
+def load_versions() -> pd.DataFrame:
+    return pd.read_csv(VERSIONS_CSV, dtype=str, keep_default_na=False)
+
+
+def validate_versions(fix: bool = False) -> pd.DataFrame:
+    df = load_versions()
+    if fix:
+        df = sort_versions(df)
+    try:
+        df = VersionsSchema.validate(df, lazy=True)
+    except pa.errors.SchemaErrors as e:
+        msg = f"{e.message}\n\nTry 'pixi run python test/test_data_versions_layer.py' to auto-fix (sorting, defaults, etc.)."
+        e.message = msg
+        raise
+    if fix:
+        df.to_csv(VERSIONS_CSV, index=False)
+    return df
+
+
+def test_versions_csv():
+    validate_versions()
+
+
+if __name__ == "__main__":
+    validate_versions(fix=True)
+    print("versions.csv validated and fixed")

From 6bee92982e44e1a6eb181073255c9087abc1445e Mon Sep 17 00:00:00 2001
From: Fabian Hofmann <fab.hof@gmx.de>
Date: Wed, 21 Jan 2026 19:54:11 +0100
Subject: [PATCH 27/42] update linopy pin (#1990)

* update linopy pin

* udpate lock file
---
 pixi.lock | 2146 ++++++++++++++++++++++++++---------------------------
 pixi.toml |    2 +-
 2 files changed, 1066 insertions(+), 1082 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 776de8a1b..9daec30ab 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -30,7 +30,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.3-py313h78bf25f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.5-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.1.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
@@ -63,8 +63,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.27-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.30-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
@@ -83,7 +83,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1.2-pyhd8ed1ab_0.conda
@@ -100,7 +100,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/configargparse-1.7.1-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313h7037e92_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.2.5-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/country_converter-1.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cppad-20250000.2-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.11-py313hd8ed1ab_100.conda
@@ -108,23 +108,23 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hd9c7081_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py313h07c4f96_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-2025.12.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-core-2025.12.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dask-core-2026.1.1-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.18-py313h5d5ffb9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.2.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/deprecation-2.1.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dill-0.4.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dill-0.4.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2025.12.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2026.1.1-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.44.0-h83bc92c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.45.0-h83bc92c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
@@ -167,25 +167,25 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.29.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.47.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.5.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.8.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.0-h8b86629_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.1-h8b86629_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py313h2b3948d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/grpcio-status-1.73.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.43-h993cebd_6.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
-      - conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.0-py313_0.conda
+      - conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.1-py313_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.7.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.15.1-nompi_py313h253c126_101.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-12.3.0-h6083320_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h1b119a7_104.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h1b119a7_105.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hicolor-icon-theme-0.17-ha770c72_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/highspy-1.12.0-np2py313h73dcb5b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
@@ -227,7 +227,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_core-5.9.1-pyhc90fa1f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.12.0-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.17.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.28.0-pyhcf101f3_0.conda
@@ -295,13 +295,13 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libhwy-1.3.0-h4c17acf_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.1.2-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libjxl-0.11.1-hf08fa70_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libjxl-0.11.1-ha09017c_8.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-haa4a5bd_1022.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-5_h6ae95b6_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm21-21.1.8-hf7376ad_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-devel-5.8.1-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-devel-5.8.2-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.3-nompi_h11f7409_103.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.67.0-had1ee68_0.conda
@@ -329,7 +329,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libthrift-0.22.0-h454ac66_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.1-h9d88235_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libutf8proc-2.11.2-hfe17d71_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libutf8proc-2.11.3-hfe17d71_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libvulkan-loader-1.4.328.1-h5279c79_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.6.0-hd42ef1d_0.conda
@@ -342,7 +342,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.43-h711ed8c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/linopy-0.5.8-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/linopy-0.6.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lxml-6.0.2-py313h4a16004_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-4.4.5-py313h28739b2_1.conda
@@ -415,7 +415,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/progressbar2-4.5.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/proj-9.7.1-h99ae125_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/prometheus-cpp-1.3.0-ha5d0236_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.52-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt_toolkit-3.0.52-hd8ed1ab_0.conda
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@@ -27990,11 +27971,11 @@ packages:
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 15149146
-  timestamp: 1768135887892
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_0.conda
-  sha256: 9e83c5480ee720d77ce59faef33741f95a29468036c8841074666fcb8a5891b0
-  md5: 4352d288e44425e31f980bad3dfef21a
+  size: 15299524
+  timestamp: 1768800867425
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
+  sha256: a204b9b3a59a88a320d9da772eecda58242cfaaf785119927eb59c4bdc6fa66f
+  md5: 1f5a9253e1c3484a5c1df0b8145a9ce3
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -28011,11 +27992,11 @@ packages:
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 13640513
-  timestamp: 1768136071553
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_0.conda
-  sha256: c4970221efaba1ab16725adbf90492f4e0cabb9a6908ebf8e31bebde737775ac
-  md5: 9820f8f7d2f7b973e0b71c00adb32172
+  size: 13802410
+  timestamp: 1768801119235
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py313hc753a45_1.conda
+  sha256: 2ea17fc46533e8789881732f42265e32c7ae376344cc3d53683e7b2179d947bb
+  md5: 5b73b1e6d191aac48960c50d65372f19
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -28032,11 +28013,11 @@ packages:
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 13797227
-  timestamp: 1768136452348
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_0.conda
-  sha256: 6f05352d921f1914f54c7805368842c07c116dee7ede90ed031a811d2a4efdcf
-  md5: b6edf419055109b566cd1e127dc81163
+  size: 13888560
+  timestamp: 1768801587965
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_1.conda
+  sha256: 0f90709b8b8ffa3f3f8a3e023154be77e3fe7dbeda3de3d62479c862111761f2
+  md5: da72702707bdb757ad57637815f165b1
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -28051,11 +28032,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 14944653
-  timestamp: 1768137048439
-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_0.conda
-  sha256: 1ee7142b35b5d0a9141735d04bba2ae02b5ee4f056b57774a7c1fd84cf0cd9da
-  md5: 94daca8e09c661a3445476c720fc3e6a
+  size: 14843889
+  timestamp: 1768801821822
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_1.conda
+  sha256: 9da71fa94c2de66f5d1eb7d926f655efadf8c4e0a6b6e934a45adaeea0905e9b
+  md5: b54fb98c96446df58e04957b6c98520e
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -28070,8 +28051,8 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 15023367
-  timestamp: 1768136974347
+  size: 14986564
+  timestamp: 1768801809920
 - conda: https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_3.conda
   noarch: python
   sha256: ea29a69b14dd6be5cdeeaa551bf50d78cafeaf0351e271e358f9b820fcab4cb0
@@ -28117,6 +28098,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 22409
   timestamp: 1768402460843
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh6dadd2b_0.conda
@@ -28128,6 +28110,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 22700
   timestamp: 1768402455730
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyha191276_0.conda
@@ -28138,17 +28121,18 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 23960
   timestamp: 1768402421616
-- conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
-  sha256: 972560fcf9657058e3e1f97186cc94389144b46dbdf58c807ce62e83f977e863
-  md5: 4de79c071274a53dcaf2a8c749d1499e
+- conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.10.1-pyh332efcf_0.conda
+  sha256: 89d5bb48047e7e27aa52a3a71d6ebf386e5ee4bdbd7ca91d653df9977eca8253
+  md5: cb72cedd94dd923c6a9405a3d3b1c018
   depends:
-  - python >=3.9
+  - python >=3.10
   license: MIT
   license_family: MIT
-  size: 748788
-  timestamp: 1748804951958
+  size: 678025
+  timestamp: 1768998156365
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-9.2.2-pyhd8ed1ab_0.conda
   sha256: 2161ac35fc22770b248bab0be2cc3b5bd765f528a9e60e7f3be784fd8d0d605a
   md5: e2e4d7094d0580ccd62e2a41947444f3
@@ -28325,32 +28309,32 @@ packages:
   license_family: MIT
   size: 13919
   timestamp: 1710194099964
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.0.3-pyhdfd78af_0.conda
-  sha256: 70541017979b70b35e1824f8718a3bb335d4659da9a6f86a4df635fa1e425790
-  md5: 3ea81e75226d692c31fa3d115bda027b
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.1.0-pyhdfd78af_0.conda
+  sha256: f65445e666eda1c29d97a74cf4ca238d8e3340d6c776d5a4d39394edb0610954
+  md5: 01e79189d86f278322d0807f7d1dbada
   depends:
   - numpy >=1.26.4,<3.0
   - pandas >=2.2.3,<3.0
   - python >=3.11.0,<4.0.0
   - pyyaml
-  - snakemake-executor-plugin-slurm-jobstep >=0.3.0,<0.4.0
+  - snakemake-executor-plugin-slurm-jobstep >=0.4.0,<0.5.0
   - snakemake-interface-common >=1.21.0,<2.0.0
   - snakemake-interface-executor-plugins >=9.3.9,<10.0.0
   - throttler >=1.2.2,<2.0.0
   license: MIT
   license_family: MIT
-  size: 33681
-  timestamp: 1765476233502
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.3.0-pyhdfd78af_0.tar.bz2
-  sha256: de9cc97d872147bfd5928f653c6d8dc1f0f1e47cb744672ffb743c4b2f8c919a
-  md5: 1e3d84ab0cd46fbf1dd4e5b290f7c7a5
+  size: 34089
+  timestamp: 1768988421646
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
+  sha256: 82ad84bf106e0fbab62f6c001311aff53faefe323254c8b2b3540f310bb48dfe
+  md5: 7d4f2bf739967798eb4d8c02d59cf36c
   depends:
   - python >=3.11.0,<4.0.0
   - snakemake-interface-common >=1.13.0,<2.0.0
   - snakemake-interface-executor-plugins >=9.0.0,<10.0.0
   license: MIT
-  size: 12881
-  timestamp: 1739611671448
+  size: 14678
+  timestamp: 1765807808315
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.22.0-pyhd4c3c12_0.conda
   sha256: d13802cb086c1b6be2c4e903e01f946fc973436e6100514169df82e537166bce
   md5: e9bb00d8c7d26a5cd220d3d73bee45fb
@@ -28424,9 +28408,9 @@ packages:
   license: MIT
   size: 21016
   timestamp: 1767973148161
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.6-pyhdfd78af_0.conda
-  sha256: e2fefd9a4b26adf874c236aef35c3b2e31441a949c38a4f2c3e69b99a7cdcdd2
-  md5: b4f16a0bcc52274012b0b14a2a6063b3
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.15.0-pyhdfd78af_0.conda
+  sha256: c01b7b4066d642cf67292537a5dc864e4faa4084abce03beaf7cb1457716f5b2
+  md5: 71856e8d31fc4396cb4b3b57c9e7fb83
   depends:
   - appdirs
   - conda-inject >=1.3.1,<2.0
@@ -28460,8 +28444,8 @@ packages:
   - yte >=1.5.5,<2.0
   license: MIT
   license_family: MIT
-  size: 870130
-  timestamp: 1767893673282
+  size: 869547
+  timestamp: 1768984393774
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda
   sha256: c51ed19c29b1acd2fcae120b16fa60bacc5ce2e3086c3175f7cf2fe50c1a5137
   md5: 17232431f65ce347f972f0fd95d2e97a
@@ -28574,15 +28558,15 @@ packages:
   license_family: APACHE
   size: 28657
   timestamp: 1738440459037
-- conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.1-pyhd8ed1ab_0.conda
-  sha256: 4ba9b8c45862e54d05ed9a04cc6aab5a17756ab9865f57cbf2836e47144153d2
-  md5: 7de28c27fe620a4f7dbfaea137c6232b
+- conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.2-pyhd8ed1ab_0.conda
+  sha256: aacc87d88795ef887b89fe9401d1092312c43371d1ba92340d8924da1a982b6a
+  md5: fcbe3971b6017792e9b24ff451daa7f5
   depends:
   - python >=3.10
   license: MIT
   license_family: MIT
-  size: 37951
-  timestamp: 1766075884412
+  size: 38091
+  timestamp: 1768776629384
 - conda: https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda
   sha256: 995f58c662db0197d681fa345522fd9e7ac5f05330d3dff095ab2f102e260ab0
   md5: f7af826063ed569bb13f7207d6f949b0
@@ -29211,15 +29195,15 @@ packages:
   license_family: MIT
   size: 21453
   timestamp: 1768146676791
-- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.13.3-pyha770c72_0.conda
-  sha256: f8d3b49c084831a20923f66826f30ecfc55a4cd951e544b7213c692887343222
-  md5: 146402bf0f11cbeb8f781fa4309a95d3
+- conda: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.14.0-pyha770c72_0.conda
+  sha256: b35082091c8efd084e51bc3a4a2d3b07897eff232aaf58cbc0f959b6291a6a93
+  md5: 385dca77a8b0ec6fa9b92cb62d09b43b
   depends:
-  - python >=3.9
+  - python >=3.10
   license: MIT
   license_family: MIT
-  size: 38777
-  timestamp: 1749127286558
+  size: 39224
+  timestamp: 1768476626454
 - conda: https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda
   sha256: 4e379e1c18befb134247f56021fdf18e112fb35e64dd1691858b0a0f3bea9a45
   md5: c07a6153f8306e45794774cf9b13bd32
@@ -30450,43 +30434,43 @@ packages:
   license_family: BSD
   size: 51128
   timestamp: 1763813786075
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.1-hbcc6ac9_2.conda
-  sha256: 802725371682ea06053971db5b4fb7fbbcaee9cb1804ec688f55e51d74660617
-  md5: 68eae977d7d1196d32b636a026dc015d
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.2-ha02ee65_0.conda
+  sha256: 6d60b1870bdbbaf098bbc7d69e4f4eccb8a6b5e856c2d0aca3c62c0db97e0863
+  md5: d34b831f6d6a9b014eb7cf65f6329bba
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - liblzma 5.8.1 hb9d3cd8_2
-  - liblzma-devel 5.8.1 hb9d3cd8_2
-  - xz-gpl-tools 5.8.1 hbcc6ac9_2
-  - xz-tools 5.8.1 hb9d3cd8_2
+  - libgcc >=14
+  - liblzma 5.8.2 hb03c661_0
+  - liblzma-devel 5.8.2 hb03c661_0
+  - xz-gpl-tools 5.8.2 ha02ee65_0
+  - xz-tools 5.8.2 hb03c661_0
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 23987
-  timestamp: 1749230104359
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.1-hbcc6ac9_2.conda
-  sha256: 840838dca829ec53f1160f3fca6dbfc43f2388b85f15d3e867e69109b168b87b
-  md5: bf627c16aa26231720af037a2709ab09
+  size: 24101
+  timestamp: 1768752698238
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.2-ha02ee65_0.conda
+  sha256: a4876e9fb124665315aedfe96b1a832e2c26312241061d5f990208aaf380da46
+  md5: a159fe1e8200dd67fa88ddea9169d25a
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - liblzma 5.8.1 hb9d3cd8_2
+  - libgcc >=14
+  - liblzma 5.8.2 hb03c661_0
   constrains:
-  - xz 5.8.1.*
+  - xz 5.8.2.*
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 33911
-  timestamp: 1749230090353
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.1-hb9d3cd8_2.conda
-  sha256: 58034f3fca491075c14e61568ad8b25de00cb3ae479de3e69be6d7ee5d3ace28
-  md5: 1bad2995c8f1c8075c6c331bf96e46fb
+  size: 33774
+  timestamp: 1768752679459
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.2-hb03c661_0.conda
+  sha256: 65c8a236b89a4ad24565a986b7c00b8cb2906af52fd9963730c44ea56a9fde9a
+  md5: dfd6129671f782988d665354e7aa269d
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - liblzma 5.8.1 hb9d3cd8_2
+  - libgcc >=14
+  - liblzma 5.8.2 hb03c661_0
   constrains:
-  - xz 5.8.1.*
+  - xz 5.8.2.*
   license: 0BSD AND LGPL-2.1-or-later
-  size: 96433
-  timestamp: 1749230076687
+  size: 96093
+  timestamp: 1768752662020
 - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
   sha256: 6d9ea2f731e284e9316d95fa61869fe7bbba33df7929f82693c121022810f4ad
   md5: a77f85f77be52ff59391544bfe73390a
diff --git a/pixi.toml b/pixi.toml
index 0e37d2955..7942cb5c6 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -58,7 +58,7 @@ ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
 jupyter = ">=1.1.1"
 libgdal-netcdf = ">=3.10.3"
-linopy = ">=0.4.4"
+linopy = ">=0.6.1"
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"

From 491ff9f910c8afc8884255ab94eeb7607041f793 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Wed, 21 Jan 2026 21:14:52 +0100
Subject: [PATCH 28/42] feat: remove and disallow setting credentials in config
 (#1989)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* feat: remove and disallow setting credentials in config

* Apply suggestions from code review

Co-authored-by: Jonas Hörsch <coroa@posteo.de>

* docs: add release note

* Apply suggestions from code review

Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>

* prevent secrets from being set

* apply review

* update lock file

* fix: just update pin, not full toml

* fix: another one

---------

Co-authored-by: Jonas Hörsch <coroa@posteo.de>
Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
---
 Snakefile                                  |  3 +++
 config/config.default.yaml                 |  4 ----
 config/schema.json                         | 20 ----------------
 doc/release_notes.rst                      |  2 ++
 pixi.lock                                  | 18 +++++++++++++++
 pixi.toml                                  |  1 +
 rules/retrieve.smk                         |  2 +-
 scripts/lib/validation/config/__init__.py  | 27 +++++++++++-----------
 scripts/lib/validation/config/solving.py   | 17 ++++++++++++++
 scripts/retrieve_corine_dataset_primary.py | 16 ++++++++-----
 10 files changed, 65 insertions(+), 45 deletions(-)

diff --git a/Snakefile b/Snakefile
index c518f35da..1a445562c 100644
--- a/Snakefile
+++ b/Snakefile
@@ -6,8 +6,11 @@ from pathlib import Path
 import yaml
 from os.path import normpath, exists, join
 from shutil import copyfile, move, rmtree
+from dotenv import load_dotenv
 from snakemake.utils import min_version
 
+load_dotenv()
+
 min_version("8.11")
 
 from scripts._helpers import (
diff --git a/config/config.default.yaml b/config/config.default.yaml
index bb83c1f39..e5bbe7d7e 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1402,7 +1402,3 @@ overpass_api:
     project_name: "PyPSA-Eur"
     email: "contact@pypsa.org"
     website: "https://github.com/PyPSA/pypsa-eur"
-
-# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#secrets
-secrets:
-  corine: ""
diff --git a/config/schema.json b/config/schema.json
index 4d88a5575..1f6de79c5 100644
--- a/config/schema.json
+++ b/config/schema.json
@@ -3759,16 +3759,6 @@
         }
       }
     },
-    "SecretsConfig": {
-      "description": "Configuration for top level `secrets` settings.",
-      "properties": {
-        "corine": {
-          "default": "",
-          "description": "API token for corine dataset retrieval. You can also pass the token by setting the environment variable \"CORINE_API_TOKEN\". See `scripts/retrieve_corine_dataset_primary.py` for more instructions.",
-          "type": "string"
-        }
-      }
-    },
     "SectorConfig": {
       "description": "Configuration for `sector` settings.",
       "properties": {
@@ -12886,16 +12876,6 @@
           }
         }
       }
-    },
-    "secrets": {
-      "description": "Configuration for top level `secrets` settings.",
-      "properties": {
-        "corine": {
-          "default": "",
-          "description": "API token for corine dataset retrieval. You can also pass the token by setting the environment variable \"CORINE_API_TOKEN\". See `scripts/retrieve_corine_dataset_primary.py` for more instructions.",
-          "type": "string"
-        }
-      }
     }
   },
   "title": "PyPSA-Eur Configuration",
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 2d9de3561..1b987104e 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Removed the ``secrets`` configuration section and disallow setting Gurobi license credentials (WLSACCESSID, WLSSECRET, LICENSEID) in config files to prevent accidental exposure of sensitive credentials. Use environment variables or license files instead (https://github.com/PyPSA/pypsa-eur/pull/1989).
+
 * Fix ConsistencyError for Links without buses when `gas_network: true`, but no `conventional_generation` (https://github.com/PyPSA/pypsa-eur/pull/1971)
 
 * Fix ConsistencyError for Links without buses when `industry: true`, but no `conventional_generation` or `biomass` (https://github.com/PyPSA/pypsa-eur/pull/1971)
diff --git a/pixi.lock b/pixi.lock
index 9daec30ab..a482a39b0 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -454,6 +454,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.11-hc97d973_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.45.0-np2py313hc18bace_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -1008,6 +1009,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.13.11-h17c18a5_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-eccodes-2.45.0-np2py313h7488b0a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -1534,6 +1536,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.11-hfc2f54d_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-eccodes-2.45.0-np2py313h2962dae_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -2035,6 +2038,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.11-h09917c8_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.45.0-np2py313haacffc7_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -4126,6 +4130,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.11-hc97d973_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.45.0-np2py313hc18bace_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -4680,6 +4685,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.13.11-h17c18a5_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-eccodes-2.45.0-np2py313h7488b0a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -5206,6 +5212,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.11-hfc2f54d_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-eccodes-2.45.0-np2py313h2962dae_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -5707,6 +5714,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.11-h09917c8_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.45.0-np2py313haacffc7_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.2-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.11-h4df99d1_100.conda
@@ -26328,6 +26336,16 @@ packages:
   license_family: APACHE
   size: 233310
   timestamp: 1751104122689
+- conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
+  sha256: aa98e0b1f5472161318f93224f1cfec1355ff69d2f79f896c0b9e033e4a6caf9
+  md5: 083725d6cd3dc007f06d04bcf1e613a2
+  depends:
+  - python >=3.10
+  - python
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 26922
+  timestamp: 1761503229008
 - conda: https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.45.0-np2py312hfb8c2c5_1.conda
   sha256: 978c82ebe79bc4e171fbf8ada6394b9f3f98e63d68ca703b4db60b1867c28267
   md5: 66f8d5e7005b9d38b4c1cd00068881ae
diff --git a/pixi.toml b/pixi.toml
index 7942cb5c6..ec25efdaf 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -70,6 +70,7 @@ pandas = ">=2.1"
 plotly = ">=6.4.0"
 powerplantmatching = ">=0.5.15"
 pydantic = ">=2"
+python-dotenv = ">=1.0"
 pre-commit = ">=4.3.0"
 proj = ">=9.6.2"
 pylint = ">=4.0.2"
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 4df7ab1e1..270398174 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -101,7 +101,7 @@ elif (CORINE_DATASET := dataset_version("corine"))["source"] in ["primary"]:
         message:
             "Retrieving Corine land cover data"
         params:
-            apikey=os.environ.get("CORINE_API_TOKEN", config["secrets"]["corine"]),
+            apikey=os.environ.get("CORINE_API_TOKEN", ""),
         output:
             zip=f"{CORINE_DATASET['folder']}/corine.zip",
             tif_file=f"{CORINE_DATASET['folder']}/corine.tif",
diff --git a/scripts/lib/validation/config/__init__.py b/scripts/lib/validation/config/__init__.py
index 8bc0ebd56..a458925ae 100644
--- a/scripts/lib/validation/config/__init__.py
+++ b/scripts/lib/validation/config/__init__.py
@@ -13,7 +13,7 @@
 import re
 from typing import Literal
 
-from pydantic import BaseModel, ConfigDict, Field, ValidationError
+from pydantic import BaseModel, ConfigDict, Field, ValidationError, model_validator
 from ruamel.yaml import YAML
 
 from scripts.lib.validation.config._base import ConfigModel
@@ -76,15 +76,6 @@ class RemoteConfig(ConfigModel):
     )
 
 
-class SecretsConfig(ConfigModel):
-    """Configuration for top level `secrets` settings."""
-
-    corine: str = Field(
-        "",
-        description='API token for corine dataset retrieval. You can also pass the token by setting the environment variable "CORINE_API_TOKEN". See `scripts/retrieve_corine_dataset_primary.py` for more instructions.',
-    )
-
-
 class ConfigSchema(BaseModel):
     """
     Combined configuration schema for PyPSA-EUR.
@@ -228,10 +219,18 @@ class ConfigSchema(BaseModel):
         default_factory=OverpassApiConfig,
         description="Overpass API configuration for OSM data retrieval.",
     )
-    secrets: SecretsConfig = Field(
-        default_factory=SecretsConfig,
-        description="Secrets configuration for API tokens.",
-    )
+
+    @model_validator(mode="before")
+    @classmethod
+    def check_no_secrets_section(cls, data):
+        """Prevent secrets from being stored in config."""
+        if isinstance(data, dict) and "secrets" in data:
+            raise ValueError(
+                "The 'secrets:' section is no longer supported in config to avoid "
+                "leaking credentials. Use environment variables instead (e.g., "
+                "CORINE_API_TOKEN). You can set these in a .env file in the project root."
+            )
+        return data
 
 
 def validate_config(config: dict) -> ConfigSchema:
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
index a5af982ea..d86812ecd 100644
--- a/scripts/lib/validation/config/solving.py
+++ b/scripts/lib/validation/config/solving.py
@@ -318,6 +318,23 @@ class SolvingConfig(BaseModel):
         },
         description="Dictionaries with solver-specific parameter settings.",
     )
+
+    @field_validator("solver_options")
+    @classmethod
+    def check_no_gurobi_credentials(cls, v):
+        """Prevent Gurobi license credentials from being stored in config."""
+        forbidden_keys = {"WLSACCESSID", "WLSSECRET", "LICENSEID"}
+        for solver_name, options in v.items():
+            if "env" in options:
+                found = forbidden_keys & set(options["env"].keys())
+                if found:
+                    raise ValueError(
+                        f"Gurobi license credentials ({', '.join(found)}) must not be set in config to avoid leaking secrets. "
+                        "Use a license file instead or check the PyPSA options documentation on how to pass solver_options via environment variables, "
+                        'e.g. PYPSA_PARAMS__OPTIMIZE__SOLVER_OPTIONS={"env": {"WLSACCESSID": "...", "WLSSECRET": "...", "LICENSEID": 1234}}'
+                    )
+        return v
+
     check_objective: _CheckObjectiveConfig = Field(
         default_factory=_CheckObjectiveConfig,
         description="Objective checking configuration.",
diff --git a/scripts/retrieve_corine_dataset_primary.py b/scripts/retrieve_corine_dataset_primary.py
index 9d9e4bf17..0205410ea 100644
--- a/scripts/retrieve_corine_dataset_primary.py
+++ b/scripts/retrieve_corine_dataset_primary.py
@@ -6,9 +6,9 @@
 
 Usage Instructions:
     1. Login using EU login at https://land.copernicus.eu/user/login and create an API key
-    2. Copy API key into the config.default.yaml -> (save from portal)
-    #   secrets:
-    #       corine: ''
+    2. Set the environment variable CORINE_API_TOKEN:
+       - Option 1: For Linux `export CORINE_API_TOKEN=<your-api-key>` and for Windows `set CORINE_API_TOKEN=<your-api-key>`. Note that this is only temporary and you will need to either make this variable permanent or set it each time you restart your command line.
+       - Option 2: Add a file `.env` to your local repository root, e.g. `.../PyPSA-Eur/.env`. Do not add this file to  `git`!. Then add the following line: `CORINE_API_TOKEN=<your-api-key>`.
 """
 
 import json
@@ -28,9 +28,7 @@
 
 def load_access_token(apikey):
     # Login using EU login at https://land.copernicus.eu/user/login and create an API key
-    # Copy API key into the config.default.yaml -> (save from portal)
-    #   secrets:
-    #       corine: ''
+    # Set CORINE_API_TOKEN environment variable or add to .env file
     try:
         service_key = json.loads(apikey)
         private_key = service_key["private_key"].encode("utf-8")
@@ -75,6 +73,12 @@ def load_access_token(apikey):
     set_scenario_config(snakemake)
 
     apikey = snakemake.params["apikey"]
+    if not apikey:
+        raise ValueError(
+            "Environment variable CORINE_API_TOKEN is not set.\n"
+            "To download CORINE data from the primary source you need to provide a valid API key. "
+            "See retrieve_corine_dataset_primary.py for details."
+        )
     output_zip_file = snakemake.output["zip"]
     tif_file = snakemake.output["tif_file"]
     access_token = load_access_token(apikey)

From f07ada99a096a895d3f4adf4f0ae1797df882c38 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Wed, 21 Jan 2026 22:27:49 +0100
Subject: [PATCH 29/42] Update locked environment files for all platforms
 (#1994)

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  | 43 ++++++++++++++++++++--------------
 envs/default_osx-64.pin.txt    | 43 ++++++++++++++++++++--------------
 envs/default_osx-arm64.pin.txt | 43 ++++++++++++++++++++--------------
 envs/default_win-64.pin.txt    | 43 ++++++++++++++++++++--------------
 envs/environment.yaml          |  5 +++-
 pixi.lock                      |  6 -----
 6 files changed, 104 insertions(+), 79 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 511bb7f8a..d8c0684de 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -36,7 +36,7 @@ https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_open
 https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda#6636a2b6f1a87572df2970d3ebc87cc0
 https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.1-py313hf6604e3_0.conda#7d51e3bef1a4b00bde1861d85ba2f874
 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py313h4b8bb8b_1.conda#2b18fe5b4b2d1611ddf8c2f080a46563
-https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda#4de79c071274a53dcaf2a8c749d1499e
+https://conda.anaconda.org/conda-forge/noarch/setuptools-80.10.1-pyh332efcf_0.conda#cb72cedd94dd923c6a9405a3d3b1c018
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
 https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py313h16d504d_1.conda#d43a148434f123b3e060780d84a05ddc
 https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_3.conda#fd5062942bfa1b0bd5e0d2a4397b099e
@@ -103,7 +103,7 @@ https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.11-hf4fecb4_8.
 https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.10-hc03379b_4.conda#2646b9648d2cc643eddbe0e440f57fe6
 https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.9-hc46dffc_7.conda#4a05507c2db2f1722e62fffc95510205
 https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.12-h4d16d09_5.conda#06455c25d5ccaee980897ae4b5cf21f1
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.1-pyhcf101f3_0.conda#d837065e4e0de4962c3462079c23f969
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda#3687cc0b82a8b4c17e1f0eb7e47163d5
 https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda#d6bd3cd217e62bbd7efe67ff224cd667
 https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda#5a81866192811f3a0827f5f93e589f02
 https://conda.anaconda.org/conda-forge/linux-64/pulp-2.8.0-py313hf1034c9_3.conda#78f128f3808ce5fc44f901b87d479764
@@ -127,10 +127,10 @@ https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.46-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2#e270fff08907db8691c02a0eda8d38ae
 https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda#e52c2a160d6bd0649c9fafdf0c813357
 https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda#f4e90937bbfc3a4a92539545a37bb448
-https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.14.8-pyhdfd78af_0.conda#92e16eddc99856bcd10440c53cc3de33
+https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.15.0-pyhdfd78af_0.conda#71856e8d31fc4396cb4b3b57c9e7fb83
 https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda#1a318ca1376d0cd58aa85e3857b08520
-https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.3.0-pyhdfd78af_0.tar.bz2#1e3d84ab0cd46fbf1dd4e5b290f7c7a5
-https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.0.3-pyhdfd78af_0.conda#3ea81e75226d692c31fa3d115bda027b
+https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda#7d4f2bf739967798eb4d8c02d59cf36c
+https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.1.0-pyhdfd78af_0.conda#01e79189d86f278322d0807f7d1dbada
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2#9b1db7127119f513696d620eefe7bf67
 https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.13-h4196e79_0.conda#5c8827cadaa6c8d4b8e510cf3dbf0fa6
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py313h54dd161_1.conda#ef8c7c9f4ea478806d9056bbc9c9c093
@@ -192,6 +192,7 @@ https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.c
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.2-py313h77f6078_2.conda#42d11c7d1ac21ae2085f58353641e71c
 https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.20.0-pyhd8ed1ab_1.conda#e7e37bf890147fa5d7892812a6dd3888
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 5c2006fff..075fb7d14 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index f704a0a74..0d5b70013 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index dc19abee2..7309c7d85 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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 https://conda.anaconda.org/conda-forge/win-64/libparquet-22.0.0-h7051d1f_6_cpu.conda#d840a2b45e737bb768ec4e0d5bf36c90
 https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-22.0.0-h7d8d6a5_6_cpu.conda#bbef682dd3d8f686faad9f1a94b3d9ae
 https://conda.anaconda.org/conda-forge/win-64/libarrow-dataset-22.0.0-h7d8d6a5_6_cpu.conda#974630001cbf61d4d94a7c7c142eade4
 https://conda.anaconda.org/conda-forge/win-64/libarrow-substrait-22.0.0-hf865cc0_6_cpu.conda#01d0606bf4202d358a71545759223202
-https://conda.anaconda.org/conda-forge/win-64/pyarrow-22.0.0-py313hfa70ccb_0.conda#dc9d22fa905cbb90914b29dc9791985d
+https://conda.anaconda.org/conda-forge/win-64/pyarrow-22.0.0-py313hfa70ccb_1.conda#d5d71cc1fb2b51a87911e290b30cf204
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.3.0-pyhd8ed1ab_0.conda#9e18b048c69d2d72bc69d120a435d731
 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda#c138c7aaa6a10b5762dcd92247864aff
@@ -503,8 +510,8 @@ https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.1-pyhcf101f3_0.conda#a
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/win-64/freeglut-3.2.2-he0c23c2_3.conda#5872031ef7cba8435ff24af056777473
 https://conda.anaconda.org/conda-forge/win-64/jasper-4.2.8-h8ad263b_0.conda#f25a27d9c58ef3a63173f372edef0639
-https://conda.anaconda.org/conda-forge/win-64/eccodes-2.44.0-h2bffdaa_0.conda#c0824c1cb3674ad22be82d49c9dc0c59
-https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.44.0-py313h0591002_1.conda#0de0cc9bdbefa9af557c42e26792a6ca
+https://conda.anaconda.org/conda-forge/win-64/eccodes-2.45.0-h2bffdaa_0.conda#d2813976958e0066e083e5e7f8e3480e
+https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.45.0-np2py313haacffc7_1.conda#82fe43e13ca2ca5efc8251da86362acf
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
 https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
 https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.1-pyhd8ed1ab_0.conda#ea90ece1da754ca0c5d6766eb59908c2
diff --git a/envs/environment.yaml b/envs/environment.yaml
index b45aefada..cee59d7b6 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -26,7 +26,7 @@ dependencies:
 - jpype1 >=1.6.0
 - jupyter >=1.1.1
 - libgdal-netcdf >=3.10.3
-- linopy >=0.4.4
+- linopy >=0.6.1
 - lxml >=6.0.2
 - matplotlib >=3.10.7
 - memory_profiler >=0.61.0
@@ -38,6 +38,7 @@ dependencies:
 - plotly >=6.4.0
 - powerplantmatching >=0.5.15
 - pydantic >=2
+- python-dotenv >=1.0
 - pre-commit >=4.3.0
 - proj >=9.6.2
 - pylint >=4.0.2
@@ -66,4 +67,6 @@ dependencies:
 - xlrd >=2.0.2
 - yaml >=0.2.5
 - snakemake-storage-plugin-cached-http >=0.1.0
+- pandera >=0.28.1
+- natsort >=8.4.0
 - snakemake-logger-plugin-pypsa >=0.1.0
diff --git a/pixi.lock b/pixi.lock
index a482a39b0..0424ab995 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,8 +5,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -2176,8 +2174,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -3681,8 +3677,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2

From 18842da929b5d80cd23919af0eb9b423e92336de Mon Sep 17 00:00:00 2001
From: Michael Lindner <michaellindner@posteo.de>
Date: Wed, 21 Jan 2026 22:35:21 +0100
Subject: [PATCH 30/42] fix: update costs for solar-hsat in myopic
 optimization; small refactor (#1965)

* fix: update costs for solar-hsat in myopic optimization; small refactor

* add release-note
---
 doc/release_notes.rst             |  2 ++
 scripts/prepare_sector_network.py | 17 +++++++++++------
 2 files changed, 13 insertions(+), 6 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 1b987104e..987afb99a 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix: capital-cost of solar-hsat did not get adjusted to current planning_horizon in myopic optimization
+
 * Removed the ``secrets`` configuration section and disallow setting Gurobi license credentials (WLSACCESSID, WLSSECRET, LICENSEID) in config files to prevent accidental exposure of sensitive credentials. Use environment variables or license files instead (https://github.com/PyPSA/pypsa-eur/pull/1989).
 
 * Fix ConsistencyError for Links without buses when `gas_network: true`, but no `conventional_generation` (https://github.com/PyPSA/pypsa-eur/pull/1971)
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 457151eae..0c4184b01 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -451,13 +451,18 @@ def update_wind_solar_costs(
 
     # NB: solar costs are also manipulated for rooftop
     # when distribution grid is inserted
-    n.generators.loc[n.generators.carrier == "solar", "capital_cost"] = costs.at[
-        "solar-utility", "capital_cost"
-    ]
+    carrier_cost_dict = {
+        "solar": "solar-utility",
+        "solar-hsat": "solar-hsat",
+        "onwind": "onwind",
+    }
 
-    n.generators.loc[n.generators.carrier == "onwind", "capital_cost"] = costs.at[
-        "onwind", "capital_cost"
-    ]
+    for carrier, cost_key in carrier_cost_dict.items():
+        if carrier not in n.generators.carrier.values:
+            continue
+        n.generators.loc[n.generators.carrier == carrier, "capital_cost"] = costs.at[
+            cost_key, "capital_cost"
+        ]
 
     # for offshore wind, need to calculated connection costs
     for key, fn in profiles.items():

From 9450f9999b77394e1aa87cd202d82cd81179221c Mon Sep 17 00:00:00 2001
From: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Date: Thu, 22 Jan 2026 10:48:59 +0000
Subject: [PATCH 31/42] Fix raw OSM build and release process (#1956)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Fix raw OSM build and release process

- delete column filtering when preparing release
- use invariant names for virtual buses

---

Co-authored-by: yerbol-akhmetov <yerbol.akhmetov.93@gmail.com>

* Update index naming method to be compatible with pypsa >=v1

* Define endpoints by first and last linestring point; do not repeat voltage in virtual bus_ids

* Spelling

* fix: fix compatibility with numpy >=2 (#1958)

* fix: Version controlled data layer (#1963)

* code: Make path relative to current snakefile

* doc: Add release notes on data layer

* [github-actions.ci] Update locked envs (#1953)

* Update locked environment files for all platforms

* trigger

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>

* Bugfix pypsa eur as snakemake module (#1967)

* Fix Bug 1: Resolve double prefixing caused by f-string coercion.

* Fix Bug 2: Rule retrieve_co2stop not saving files in correct location.
Fix by making filepaths relative to an input or output location.

* Fix Bug 3: make filepaths in rule retrieve_corine relative to the zip_file in `input`

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Updated release notes

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* doc: Correct section indent for data inventory (#1973)

* Config Validation with Pydantic (#1912)

* minimal version

* new `config.default.yaml`

* exclude schema from pre-commit

* add model for default config

* add `schema.json`

* ci: add schema in sync check

* duck type model schema

* show schema in docs

* move ci check to unit test

* updade lock file and add data.py schema

* update schema

* fix pre-commit, split workflow

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* shorten workflow name

* fix undocumented literals

* merge changes from #1940

* fix docs

* feat: add relative schema definition to config files

* feat: add relative schema definition to config/examples files

Maybe we don't want that, since those would be moved to config/... when being used and
then the link would be broken?

* feat: Use ruamel to add comments back into the config.default.yaml

* fix: readd newlines between top-level sections

* fix(doc): fix broken references

* feat: convert pydantic description links to rst

* feat: add markdownDescription attributes for schema links

* fix literal-includes in docs

* add contributing docs, switch yaml with description in config docs

* remove typing_extension, fix more links

* update schema

* apply review

* docs: add custom validators info (field and model)

* docs: fix links

* update lock file

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jonas Hoersch <jonas.hoersch@openenergytransition.org>

* Update lock file workflow to remove push trigger (#1975)

* chore: fix formatting and improve consistency in data layer doc (#1977)

* follow up on #1977 (#1980)

* Fix atlite cutouts default value (#1979)

* Fix europe-2013 cutout default value.

* Updated default config and schema to revert to 2013 cutout.

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* Revert "Update lock file workflow to remove push trigger (#1975)" (#1982)

This reverts commit cd00bb34abe8227c7136c836cc7532c7a37ff9a7.

* Add user friendly messages to snakemake workflow (#1846)

* Add messages for all retrieval rules

* Add messages for all build electricity rules

* Add messages to sector building rules

* Add messages for collect rules

* Add messages for solve electricity rules

* Add messages for solve myopic rules

* Add messages for solve overnight rules

* Add messages for solving perfect foresight rules

* Added messages to postprocessing rules

* Add missing qualifiers to messages

* Add missing qualifiers to build elec messages

* Add release note

* Fixed typo in message

* Removed missing wildcard from the message

* Add rule name to message (if not present) for logging

* Fix incorrect wildcard in rule

* feat: Add simple descriptive logger plugin and use by default

The logger plugin registers a derived class of snakemake's DefaultFormatter
which shows the bold message in front of the regular job info block.

* Revert "Add rule name to message (if not present) for logging"

This reverts commit c4fd02e72e4d6a7a0b8a8b25eda3ce96049098dc.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Add SPDX license metadata to plugin

* Do not track Python eggs

* Rename plugin from descriptive to pypsa

* Add SPDX license metadata to config

* Update plugins/snakemake-logger-plugin-pypsa/README.md

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* add profiles docummentation

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* fix: formatting

* Moved plugin code to own repository

* Add pixi.toml from master branch

* Add logger plugin to pixi toml

* Added messages to each of the retrieve rules

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* update lock file

---------

Co-authored-by: Jonas Hoersch <jonas.hoersch@openenergytransition.org>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Lukas Trippe <lkstrp@pm.me>
Co-authored-by: Jonas Hörsch <coroa@posteo.de>

* process eurostat energy balances via API

* Revert "process eurostat energy balances via API"

This reverts commit a81e1002e5edda57d65be57a109f08b8bcbb55d9.

* fix: avoid netcdf4 version 1.7.4 (#1988)

* fix: avoid netcdf4 version 1.7.4

* Revert "fix: avoid netcdf4 version 1.7.4"

This reverts commit 23fb6ad41234c126e3024cff5e2a958923f060b5.

* pin in `pixi.toml`

---------

Co-authored-by: lkstrp <lkstrp@pm.me>

* Update locked environment files for all platforms (#1983)

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>

* Updated technology-data to v0.13.4. (#1985)

* Updated technology-data to v0.13.4.

* Added release note.

* Update data/versions.csv

* Update data/versions.csv

Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>

* Fix mock snakemake for Snakemake API changes. (#1984)

* Fix mock snakemake for Snakemake API changes.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Updated pixi.lock.

* Added release notes.

* Make mock_snakemake more robust: Handling different LoggerManager arguments depending on snakemake version.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* Post-merge fix

---------

Co-authored-by: yerbol-akhmetov <yerbol.akhmetov.93@gmail.com>
Co-authored-by: Jonas Hörsch <coroa@posteo.de>
Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>
Co-authored-by: jonathan-peel <52451628+jonathan-peel@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jonas Hoersch <jonas.hoersch@openenergytransition.org>
Co-authored-by: Thomas Gilon <thomas.gilon@openenergytransition.org>
Co-authored-by: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Co-authored-by: Will Usher <wusher@kth.se>
Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
Co-authored-by: Fabian Hofmann <fab.hof@gmx.de>
---
 doc/release_notes.rst                  | 16 ++++---
 scripts/build_osm_network.py           | 54 ++++++++++++++----------
 scripts/prepare_osm_network_release.py | 58 ++++++++++++--------------
 3 files changed, 68 insertions(+), 60 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 987afb99a..6ba231583 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,10 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix virtual bus naming when building the transmission network from raw OSM data to use persistent names (https://github.com/PyPSA/pypsa-eur/pull/1956).
+
+* Fix column selection when preparing OSM pre-built releases (https://github.com/PyPSA/pypsa-eur/pull/1956).
+
 * Fix: capital-cost of solar-hsat did not get adjusted to current planning_horizon in myopic optimization
 
 * Removed the ``secrets`` configuration section and disallow setting Gurobi license credentials (WLSACCESSID, WLSSECRET, LICENSEID) in config files to prevent accidental exposure of sensitive credentials. Use environment variables or license files instead (https://github.com/PyPSA/pypsa-eur/pull/1989).
@@ -21,28 +25,28 @@ Upcoming Release
 
 * Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
 
-* Important: PyPSA-Eur now uses a validation schema for configuration files. The schema 
-  also contains the default values for all known configuration options, which means 
+* Important: PyPSA-Eur now uses a validation schema for configuration files. The schema
+  also contains the default values for all known configuration options, which means
   `config/config.default.yaml` still exists and can be used, but will be automatically
   exported from the schema. Changes to the default config, therefore now require the
   schema to be updated. Find a detailed explanation in the contributors documentation
   (https://github.com/PyPSA/pypsa-eur/pull/1912).
-  
+
 * Fix bugs when using PyPSA-Eur as a Snakemake module by making sure that all file paths are defined relative to a rule's input or an output (https://github.com/PyPSA/pypsa-eur/pull/1967).
 
 * Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955).
 
 * Added interactive (html) balance maps `results/maps/interactive/` (https://github.com/PyPSA/pypsa-eur/pull/1935) based on https://docs.pypsa.org/latest/user-guide/plotting/explore/. Settings for interactive maps can be found in `plotting.default.yaml` under `plotting["balance_map_interactive"]`.
 
-* Relocated and modified static (pdf) balance maps to `results/maps/static/` (https://github.com/PyPSA/pypsa-eur/pull/1935) for better organization. 
+* Relocated and modified static (pdf) balance maps to `results/maps/static/` (https://github.com/PyPSA/pypsa-eur/pull/1935) for better organization.
 
-* With https://github.com/PyPSA/pypsa-eur/pull/1935, note that bus carriers for balance maps containing spaces need to be specified with underscores `_` in the configuration file, e.g., `co2_stored` instead of `co2 stored`. This is to ensure compatibility with queue managers like slurm. 
+* With https://github.com/PyPSA/pypsa-eur/pull/1935, note that bus carriers for balance maps containing spaces need to be specified with underscores `_` in the configuration file, e.g., `co2_stored` instead of `co2 stored`. This is to ensure compatibility with queue managers like slurm.
 
 * Fix building osm network using overpass API (https://github.com/PyPSA/pypsa-eur/pull/1940).
 
 * Added configuration option to set overpass API URL, maximum retries, timeout and user agent information (https://github.com/PyPSA/pypsa-eur/pull/1940 and https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api). For a list of public overpass APIs see `here <https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances>`_.
 
-* Refactored `solve_network.py` and `solve_operations_network.py` to separate optimization problem preparation from solving, enabling inspection of optimization problems before solve execution. 
+* Refactored `solve_network.py` and `solve_operations_network.py` to separate optimization problem preparation from solving, enabling inspection of optimization problems before solve execution.
 
 * Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`.
 
diff --git a/scripts/build_osm_network.py b/scripts/build_osm_network.py
index bb8f58c2c..a41594d89 100644
--- a/scripts/build_osm_network.py
+++ b/scripts/build_osm_network.py
@@ -12,7 +12,7 @@
 import pandas as pd
 import pypsa
 from pyproj import Transformer
-from shapely import prepare
+from shapely import get_point, prepare
 from shapely.algorithms.polylabel import polylabel
 from shapely.geometry import LineString, MultiLineString, Point
 from shapely.ops import linemerge, split
@@ -148,18 +148,23 @@ def _add_line_endings(buses, lines, add=0, name="line-end"):
     -------
         - pd.DataFrame: DataFrame containing the virtual bus endpoints with columns 'bus_id', 'voltage', 'geometry', and 'contains'.
     """
-    endpoints0 = lines[["voltage", "geometry"]].copy()
-    endpoints0["geometry"] = endpoints0["geometry"].apply(lambda x: x.boundary.geoms[0])
-
-    endpoints1 = lines[["voltage", "geometry"]].copy()
-    endpoints1["geometry"] = endpoints1["geometry"].apply(lambda x: x.boundary.geoms[1])
-
+    line_data = lines[["voltage", "geometry", "line_id"]]
+    line_geoms = line_data["geometry"].apply(_remove_loops_from_multiline)
+    endpoints0 = line_data.assign(
+        geometry=get_point(line_geoms.geometry, 0), endpoint=0
+    )
+    endpoints1 = line_data.assign(
+        geometry=get_point(line_geoms.geometry, -1), endpoint=1
+    )
     endpoints = pd.concat([endpoints0, endpoints1], ignore_index=True)
     endpoints.drop_duplicates(subset=["geometry", "voltage"], inplace=True)
     endpoints.reset_index(drop=True, inplace=True)
 
-    endpoints["bus_id"] = endpoints.index + add + 1
-    endpoints["bus_id"] = "virtual" + "-" + endpoints["bus_id"].astype(str)
+    # Create deterministic ID from line_id and endpoint
+    endpoints["bus_id"] = (
+        "virtual_" + endpoints["line_id"] + "_" + endpoints["endpoint"].astype(str)
+    )
+    endpoints.drop(columns=["line_id", "endpoint"], inplace=True)
 
     endpoints["contains"] = name
 
@@ -300,7 +305,7 @@ def _create_merge_mapping(lines, buses, buses_polygon, geo_crs=GEO_CRS):
         - Identifies shared buses to remove using networkx.
         - Creates a network graph of lines to be merged using networkx
         - Identifies connected components in the graph and merges lines within each component.
-        - Note that only lines that unambigruosly can be merged are considered.
+        - Note that only lines that unambiguously can be merged are considered.
 
     Parameters
     ----------
@@ -651,10 +656,9 @@ def _create_station_seeds(
     buses_to_rename = buses_to_rename.sort_values(
         by=["country", "lat", "lon"], ascending=[True, False, True]
     )
-    buses_to_rename["bus_id"] = buses_to_rename.groupby("country").cumcount() + 1
-    buses_to_rename["bus_id"] = buses_to_rename["country"] + buses_to_rename[
-        "bus_id"
-    ].astype(str)
+    buses_to_rename["bus_id"] = buses_to_rename[
+        "country"
+    ] + buses_to_rename.index.str.replace("virtual", "")
 
     # Dict to rename virtual buses
     dict_rename = buses_to_rename["bus_id"].to_dict()
@@ -729,7 +733,7 @@ def _merge_buses_to_stations(
         voltages = sorted(
             g_value["voltage"].unique(), reverse=True
         )  # Sort voltags in descending order
-
+        not_virtual = ~g_value.bus_id.str.startswith("virtual_")
         if len(voltages) > 1:
             poi_x, poi_y = geo_to_dist.transform(
                 g_value["poi"].values[0].x, g_value["poi"].values[0].y
@@ -745,10 +749,11 @@ def _merge_buses_to_stations(
 
                 poi_offset = Point(dist_to_geo.transform(poi_x_offset, poi_y_offset))
 
-                # Update bus_name
-                g_value.loc[g_value["voltage"] == v, "bus_id"] = (
-                    g_name + "-" + str(int(v / 1000))
-                )
+                # Update bus_name if not virtual (in which case the voltage suffix is already present)
+                g_value.loc[
+                    (g_value["voltage"] == v) & not_virtual,
+                    "bus_id",
+                ] = g_name + "-" + str(int(v / 1000))
 
                 # Update geometry
                 g_value.loc[g_value["voltage"] == v, "geometry"] = poi_offset
@@ -757,7 +762,9 @@ def _merge_buses_to_stations(
             buses_all.loc[g_value.index, "geometry"] = g_value["geometry"]
         else:
             v = voltages[0]
-            buses_all.loc[g_value.index, "bus_id"] = g_name + "-" + str(int(v / 1000))
+            buses_all.loc[g_value.loc[not_virtual].index, "bus_id"] = (
+                g_name + "-" + str(int(v / 1000))
+            )
             buses_all.loc[g_value.index, "geometry"] = g_value["poi"]
 
     return buses_all
@@ -889,8 +896,9 @@ def _map_endpoints_to_buses(
     for coord in range(2):
         # Obtain endpoints
         endpoints = lines_all[["voltage", "geometry"]].copy()
-        endpoints["geometry"] = endpoints["geometry"].apply(
-            lambda x: x.boundary.geoms[coord]
+        # -1 * coord returns 0 for coord=0 and -1 for coord=1
+        endpoints["geometry"] = get_point(
+            endpoints.geometry.apply(_remove_loops_from_multiline), -1 * coord
         )
         if sjoin == "intersects":
             endpoints = gpd.sjoin(
@@ -1541,7 +1549,7 @@ def build_network(
     buses_polygon.drop(columns=["voltage"], inplace=True)
 
     # Lines
-    lines = gpd.read_file(inputs["lines"])
+    lines = gpd.read_file(inputs["lines"]).drop("contains", axis=1)
     lines = _merge_identical_lines(lines)
 
     # Floor voltages to 3 decimal places (e.g., 66600 becomes 66000, 220000 stays 220000)
diff --git a/scripts/prepare_osm_network_release.py b/scripts/prepare_osm_network_release.py
index 2bb896a15..a3562d594 100644
--- a/scripts/prepare_osm_network_release.py
+++ b/scripts/prepare_osm_network_release.py
@@ -7,6 +7,7 @@
 import folium
 import geopandas as gpd
 import numpy as np
+import pandas as pd
 import pypsa
 from shapely.wkt import loads
 
@@ -78,7 +79,9 @@
 ]
 
 
-def export_clean_csv(df, columns, output_file):
+def export_clean_csv(
+    df: pd.DataFrame, columns: list[str], output_file: str, rename_idx: str
+):
     """
     Export a cleaned DataFrame to a CSV file.
 
@@ -86,26 +89,19 @@ def export_clean_csv(df, columns, output_file):
         df (pandas.DataFrame): The DataFrame to be exported.
         columns (list): A list of column names to include in the exported CSV file.
         output_file (str): The path to the output CSV file.
+        rename_idx (str): The name to use for renaming the index column.
 
     Returns:
         None
     """
-    columns = [col for col in columns if col in df.columns]
     rename_dict = {
-        "Bus": "bus_id",
-        "Line": "line_id",
-        "Link": "link_id",
-        "Transformer": "transformer_id",
         "v_nom": "voltage",
         "num_parallel": "circuits",
     }
 
-    if "converter_id" in columns:
-        rename_dict["Link"] = "converter_id"
-
-    df.reset_index().rename(columns=rename_dict).loc[:, columns].replace(
-        {True: "t", False: "f"}
-    ).to_csv(output_file, index=False, quotechar="'")
+    df.rename_axis(index=rename_idx).reset_index().rename(columns=rename_dict).loc[
+        :, columns
+    ].replace({True: "t", False: "f"}).to_csv(output_file, index=False, quotechar="'")
 
     return None
 
@@ -131,7 +127,6 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
     """
 
     buses_cols = [
-        "Bus",
         "v_nom",
         "dc",
         "symbol",
@@ -139,14 +134,13 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
         "tags",
         "geometry",
     ]
-    buses = network.buses.reset_index()[
+    buses = network.buses[
         [c for c in buses_cols if c in network.buses.columns]
-    ]
+    ].reset_index()
     buses["geometry"] = buses.geometry.apply(lambda x: loads(x))
     buses = gpd.GeoDataFrame(buses, geometry="geometry", crs=crs)
 
     lines_cols = [
-        "Line",
         "bus0",
         "bus1",
         "v_nom",
@@ -163,15 +157,14 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
         "tags",
         "geometry",
     ]
-    lines = network.lines.reset_index()[
+    lines = network.lines[
         [c for c in lines_cols if c in network.lines.columns]
-    ]
+    ].reset_index()
     # Create shapely linestring from geometry column
     lines["geometry"] = lines.geometry.apply(lambda x: loads(x))
     lines = gpd.GeoDataFrame(lines, geometry="geometry", crs=crs)
 
     links_cols = [
-        "Link",
         "bus0",
         "bus1",
         "v_nom",
@@ -184,16 +177,15 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
     ]
     links = (
         network.links[~is_converter]
-        .reset_index()
         .rename(columns={"voltage": "v_nom"})[
             [c for c in links_cols if c in network.links.columns]
         ]
+        .reset_index()
     )
     links["geometry"] = links.geometry.apply(lambda x: loads(x))
     links = gpd.GeoDataFrame(links, geometry="geometry", crs=crs)
 
     converters_cols = [
-        "Link",
         "bus0",
         "bus1",
         "v_nom",
@@ -202,16 +194,15 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
     ]
     converters = (
         network.links[is_converter]
-        .reset_index()
         .rename(columns={"voltage": "v_nom"})[
             [c for c in converters_cols if c in network.links.columns]
         ]
+        .reset_index()
     )
     converters["geometry"] = converters.geometry.apply(lambda x: loads(x))
     converters = gpd.GeoDataFrame(converters, geometry="geometry", crs=crs)
 
     transformers_cols = [
-        "Transformer",
         "bus0",
         "bus1",
         "voltage_bus0",
@@ -219,9 +210,9 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
         "s_nom",
         "geometry",
     ]
-    transformers = network.transformers.reset_index()[
+    transformers = network.transformers[
         [c for c in transformers_cols if c in network.transformers.columns]
-    ]
+    ].reset_index()
     transformers["geometry"] = transformers.geometry.apply(lambda x: loads(x))
     transformers = gpd.GeoDataFrame(transformers, geometry="geometry", crs=crs)
 
@@ -287,19 +278,21 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
 
     # Export to clean csv for release
     logger.info(f"Exporting {len(network.buses)} buses to %s", snakemake.output.buses)
-    export_clean_csv(network.buses, BUSES_COLUMNS, snakemake.output.buses)
+    export_clean_csv(network.buses, BUSES_COLUMNS, snakemake.output.buses, "bus_id")
 
     logger.info(
         f"Exporting {len(network.transformers)} transformers to %s",
         snakemake.output.transformers,
     )
     export_clean_csv(
-        network.transformers, TRANSFORMERS_COLUMNS, snakemake.output.transformers
+        network.transformers,
+        TRANSFORMERS_COLUMNS,
+        snakemake.output.transformers,
+        "transformer_id",
     )
 
     logger.info(f"Exporting {len(network.lines)} lines to %s", snakemake.output.lines)
-    export_clean_csv(network.lines, LINES_COLUMNS, snakemake.output.lines)
-
+    export_clean_csv(network.lines, LINES_COLUMNS, snakemake.output.lines, "line_id")
     # Boolean that specifies if link element is a converter
     is_converter = network.links.index.str.startswith("conv") == True
 
@@ -308,7 +301,7 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
         snakemake.output.links,
     )
     export_clean_csv(
-        network.links[~is_converter], LINKS_COLUMNS, snakemake.output.links
+        network.links[~is_converter], LINKS_COLUMNS, snakemake.output.links, "link_id"
     )
 
     logger.info(
@@ -316,7 +309,10 @@ def create_geometries(network, is_converter, crs=GEO_CRS):
         snakemake.output.converters,
     )
     export_clean_csv(
-        network.links[is_converter], CONVERTERS_COLUMNS, snakemake.output.converters
+        network.links[is_converter],
+        CONVERTERS_COLUMNS,
+        snakemake.output.converters,
+        "converter_id",
     )
 
     ## Create interactive map

From 630d37dd061fda6fff93c3a2c458dcdfdc9dcedd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Daniel=20R=C3=BCdt?=
 <117752024+daniel-rdt@users.noreply.github.com>
Date: Thu, 22 Jan 2026 15:10:11 +0100
Subject: [PATCH 32/42] feat: add electricitymaps and entsoepy bidding zone
 data to data layer (#1991)

* feat: add electricitymaps and entsoepy bidding zone geospatial data to data layer

* config: autogenerate config.default.yaml and schema.json

* doc: add release note

* feat: use copy2 and update urls to be version specific

* feat: improve logger and handle raise timeout and url errors

* fix: move new versions.csv entries to the correct alphabetical position

* add to archive

---------

Co-authored-by: lkstrp <lkstrp@pm.me>
---
 config/config.default.yaml            |  6 ++
 config/schema.json                    | 80 +++++++++++++++++++++++++++
 data/versions.csv                     | 10 +++-
 doc/data_inventory.csv                |  4 +-
 doc/release_notes.rst                 |  2 +
 rules/retrieve.smk                    | 69 ++++++++++++++++++-----
 scripts/lib/validation/config/data.py |  8 +++
 scripts/retrieve_bidding_zones.py     | 73 ------------------------
 8 files changed, 162 insertions(+), 90 deletions(-)
 delete mode 100644 scripts/retrieve_bidding_zones.py

diff --git a/config/config.default.yaml b/config/config.default.yaml
index e5bbe7d7e..265940ae2 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1392,6 +1392,12 @@ data:
   jrc_ardeco:
     source: archive
     version: latest
+  bidding_zones_electricitymaps:
+    source: archive
+    version: latest
+  bidding_zones_entsoepy:
+    source: archive
+    version: latest
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api
 overpass_api:
diff --git a/config/schema.json b/config/schema.json
index 1f6de79c5..f8de41cf8 100644
--- a/config/schema.json
+++ b/config/schema.json
@@ -1791,6 +1791,46 @@
               "type": "string"
             }
           }
+        },
+        "bidding_zones_electricitymaps": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "bidding_zones_entsoepy": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
         }
       }
     },
@@ -12833,6 +12873,46 @@
               "type": "string"
             }
           }
+        },
+        "bidding_zones_electricitymaps": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "bidding_zones_entsoepy": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
         }
       }
     },
diff --git a/data/versions.csv b/data/versions.csv
index e2e5b508f..afd957a12 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -7,6 +7,10 @@ bfs_gdp_and_population,2019-03-28,primary,latest supported,2025-12-02,,https://d
 bfs_gdp_and_population,2019-03-28,archive,latest supported,2025-12-02,,https://web.archive.org/web/20250818151254if_/https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master
 bfs_road_vehicle_stock,unknown,primary,latest supported,2025-12-02,This dataset is not versioned and is updated regularly. The link points to the latest version. More information on the latest update on this website: https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html,https://datawrapper.dwcdn.net/31f3521eddfa82ada1a436983c31caf5/1/dataset.csv
 bfs_road_vehicle_stock,2024-03-13,archive,latest supported,2025-12-02,,https://raw.githubusercontent.com/PyPSA/pypsa-eur/5b5d308bf70f15dd0b107d8a19c121093dcdd5bd/data/gr-e-11.03.02.01.01-cc.csv
+bidding_zones_electricitymaps,v1.238.0,primary,latest supported,2026-01-22,,https://raw.githubusercontent.com/electricitymaps/electricitymaps-contrib/refs/tags/v1.238.0/web/geo/world.geojson
+bidding_zones_electricitymaps,v1.238.0,archive,latest supported,2026-01-22,,https://data.pypsa.org/workflows/eur/bidding_zones_electricitymaps/v1.238.0/world.geojson
+bidding_zones_entsoepy,v0.6.18,primary,latest supported,2026-01-22,,https://raw.githubusercontent.com/EnergieID/entsoe-py/refs/tags/V0.6.18/entsoe/geo/geojson
+bidding_zones_entsoepy,v0.6.18,archive,latest supported,2026-01-22,,https://data.pypsa.org/workflows/eur/bidding_zones_entsoepy/v0.6.18
 co2stop,26-august-2020,primary,latest supported,2025-12-02,,https://setis.ec.europa.eu/document/download/786a884f-0b33-4789-b744-28004b16bd1a_en?filename=co2jrc_openformats.zip
 co2stop,26-august-2020,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/co2stop/26-august-2020/co2jrc_openformats.zip
 copernicus_land_cover,v3.0.1,primary,latest supported,2025-12-02,"The primary is already from Zenodo, documentation in https://zenodo.org/records/4723921",https://zenodo.org/records/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif
@@ -14,11 +18,11 @@ copernicus_land_cover,v3.0.1,archive,latest supported,2026-01-20,"The primary is
 copernicus_land_cover,v2.0.2,archive,deprecated supported,2026-01-13,,https://data.pypsa.org/workflows/eur/copernicus_land_cover/v2.0.2/PROBAV_LC100_global_v3.0.1_2015-base_Discrete-Classification-map_EPSG-4326.tif
 corine,v18_5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/corine/v18_5/corine.zip
 corine,unknown,primary,latest supported,2025-12-02,Need to register with CLMS API and create an access token. The download URL is dynamic,
-costs,v0.13.4,primary,latest supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.4/outputs
+costs,v0.13.4,primary,latest supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/refs/tags/v0.13.4/outputs
 costs,v0.13.4,archive,supported,2026-01-21,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/costs/v0.13.4
-costs,v0.13.3,primary,supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.3/outputs
+costs,v0.13.3,primary,supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/refs/tags/v0.13.3/outputs
 costs,v0.13.3,archive,supported,2026-01-20,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/costs/v0.13.3
-costs,v0.13.2,primary,supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/v0.13.2/outputs
+costs,v0.13.2,primary,supported,2025-12-02,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://raw.githubusercontent.com/PyPSA/technology-data/refs/tags/v0.13.2/outputs
 costs,v0.13.2,archive,supported,2026-01-20,"Part of the `technologydata` repository and versioned on GitHub, i.e. no dedicated 'archive' entry.",https://data.pypsa.org/workflows/eur/costs/v0.13.2
 country_hdd,unknown,build,latest supported,2025-12-02,Latest dataset built using ERA5 runoff data. This takes a very long time to build.,
 country_hdd,2025-08-13,primary,latest supported,2025-12-02,,https://zenodo.org/records/16849356/files/era5-HDD-per-country.csv
diff --git a/doc/data_inventory.csv b/doc/data_inventory.csv
index 133ce39d6..1516aa82b 100644
--- a/doc/data_inventory.csv
+++ b/doc/data_inventory.csv
@@ -41,4 +41,6 @@
 "mobility_profiles","German Vehicle Activity Profiles","Vehicle activity profiles for different vehicle types and road types in Germany, based on monitoring data from the Federal Highway Research Institute (BASt). These profiles provide insights into travel behavior and patterns, which can be used for transport modeling and analysis.","Federal Highway Research Institute (BASt)","https://www.bast.de/DE/Themen/Digitales/HF_1/Massnahmen/verkehrszaehlung/Stundenwerte.html?nn=414410","CC-BY-4.0"
 "dh_areas","","Shapes of district heating areas","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
 "geothermal_heat_utilisation_potentials","","Potentials for Geothermal heat utilisation","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
-"jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","https://territorial.ec.europa.eu/ardeco","similar to CC-BY"
\ No newline at end of file
+"jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","https://territorial.ec.europa.eu/ardeco","similar to CC-BY"
+"bidding_zones_electricitymaps","Electricity Maps Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","Electricity Maps","https://github.com/electricitymaps/electricitymaps-contrib","AGPL-3.0"
+"bidding_zones_entsoepy","ENTSOE-PY Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","EnergieID","https://github.com/EnergieID/entsoe-py","MIT"
\ No newline at end of file
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 6ba231583..ed5fedafd 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
+
 * Fix virtual bus naming when building the transmission network from raw OSM data to use persistent names (https://github.com/PyPSA/pypsa-eur/pull/1956).
 
 * Fix column selection when preparing OSM pre-built releases (https://github.com/PyPSA/pypsa-eur/pull/1956).
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 270398174..e2030ad0e 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -319,19 +319,62 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
             unpack_archive(output["zip_file"], Path(output.shapes_level_3).parent)
 
 
-rule retrieve_bidding_zones:
-    message:
-        "Retrieving bidding zones data from ENTSO-E and Electricity Maps"
-    output:
-        file_entsoepy="data/busshapes/bidding_zones_entsoepy.geojson",
-        file_electricitymaps="data/busshapes/bidding_zones_electricitymaps.geojson",
-    log:
-        "logs/retrieve_bidding_zones.log",
-    resources:
-        mem_mb=1000,
-    retries: 2
-    script:
-        "../scripts/retrieve_bidding_zones.py"
+if (
+    BIDDING_ZONES_ELECTRICITYMAPS_DATASET := dataset_version(
+        "bidding_zones_electricitymaps"
+    )
+)["source"] in ["primary"]:
+
+    rule retrieve_bidding_zones_electricitymaps:
+        input:
+            geojson=storage(BIDDING_ZONES_ELECTRICITYMAPS_DATASET["url"]),
+        output:
+            geojson=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET["folder"]}/bidding_zones_electricitymaps.geojson",
+        log:
+            "logs/retrieve_bidding_zones_electricitymaps.log",
+        resources:
+            mem_mb=1000,
+        retries: 2
+        run:
+            copy2(input["geojson"], output["geojson"])
+
+
+if (BIDDING_ZONES_ENTSOEPY_DATASET := dataset_version("bidding_zones_entsoepy"))[
+    "source"
+] in ["primary"]:
+
+    rule retrieve_bidding_zones_entsoepy:
+        output:
+            geojson=f"{BIDDING_ZONES_ENTSOEPY_DATASET['folder']}/bidding_zones_entsoepy.geojson",
+        log:
+            "logs/retrieve_bidding_zones_entsoepy.log",
+        resources:
+            mem_mb=1000,
+        retries: 2
+        run:
+            import entsoe
+            import geopandas as gpd
+            from urllib.error import HTTPError, URLError
+
+            logger.info("Downloading entsoe-py zones...")
+            gdfs: list[gpd.GeoDataFrame] = []
+            url = f"{BIDDING_ZONES_ENTSOEPY_DATASET['url']}"
+            for area in entsoe.Area:
+                name = area.name
+                try:
+                    file_url = f"{url}/{name}.geojson"
+                    gdfs.append(gpd.read_file(file_url))
+                except HTTPError as e:
+                    logger.debug(f"Area file not available for {name}: {e}")
+                    continue
+                except (URLError, TimeoutError) as e:
+                    raise Exception(f"Network error retrieving {name}: {e}")
+            shapes = pd.concat(gdfs, ignore_index=True)  # type: ignore
+
+            logger.info("Downloading entsoe-py zones... Done")
+
+            shapes.to_file(output.geojson)
+
 
 
 if (CUTOUT_DATASET := dataset_version("cutout"))["source"] in [
diff --git a/scripts/lib/validation/config/data.py b/scripts/lib/validation/config/data.py
index 1c3657032..1744febef 100644
--- a/scripts/lib/validation/config/data.py
+++ b/scripts/lib/validation/config/data.py
@@ -219,3 +219,11 @@ class DataConfig(BaseModel):
         default_factory=_DataSourceConfig,
         description="JRC ARDECO data source configuration.",
     )
+    bidding_zones_electricitymaps: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Electricitymaps bidding zones data source configuration.",
+    )
+    bidding_zones_entsoepy: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="Entsoepy bidding zones data source configuration.",
+    )
diff --git a/scripts/retrieve_bidding_zones.py b/scripts/retrieve_bidding_zones.py
deleted file mode 100644
index f4798fb70..000000000
--- a/scripts/retrieve_bidding_zones.py
+++ /dev/null
@@ -1,73 +0,0 @@
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: MIT
-"""
-Retrieves bidding zone shape files from two sources. `electricitymaps-contrib` provides shape files for all the zones on a global level. `entsoe-py` provides country level shape files which are concatenated into one file. The `electricitymaps-contrib` data is preferred, but the Italian bidding zones from `entsoe-py` are more accurate.
-
-Outputs
--------
-
-- ``data/busshapes/bidding_zones_electricitymaps.geojson``:
-- ``data/busshapes/bidding_zones_entsoepy.geojson``:
-"""
-
-import logging
-from urllib.error import HTTPError
-
-import entsoe
-import geopandas as gpd
-import pandas as pd
-
-logger = logging.getLogger(__name__)
-
-
-def load_bidding_zones_from_entsoepy() -> gpd.GeoDataFrame:
-    """
-    Load bidding zone geometries from entsoe-py GeoJSON files with disk caching.
-
-    Returns:
-        GeoDataFrame: Contains geometries for all available bidding zones
-    """
-    # If not in cache or cache disabled, load from source
-    logger.info("Downloading entsoe-py zones...")
-    gdfs: list[gpd.GeoDataFrame] = []
-    for area in entsoe.Area:
-        name = area.name
-        try:
-            url = f"https://raw.githubusercontent.com/EnergieID/entsoe-py/c03c604af36ef92e8ef6ee89dc57c56ca5e1dbac/entsoe/geo/geojson/{name}.geojson"
-            gdfs.append(gpd.read_file(url))
-        except HTTPError:
-            continue
-
-    shapes = pd.concat(gdfs, ignore_index=True)  # type: ignore
-
-    logger.info("Downloading entsoe-py zones... Done")
-
-    return shapes
-
-
-def load_bidding_zones_from_electricitymaps() -> gpd.GeoDataFrame:
-    """
-    Load bidding zone geometries from electricitymaps-contrib repository.
-
-    Returns:
-        GeoDataFrame: Contains geometries for all available bidding zones
-    """
-    logger.info("Downloading electricitymaps-contrib zones...")
-    url = "https://raw.githubusercontent.com/electricitymaps/electricitymaps-contrib/v1.238.0/web/geo/world.geojson"
-    df = gpd.read_file(url)
-    logger.info("Downloading electricitymaps-contrib zones... Done")
-    return df
-
-
-if __name__ == "__main__":
-    if "snakemake" not in globals():
-        from _helpers import mock_snakemake
-
-        snakemake = mock_snakemake("retrieve_bidding_zones")
-
-    bidding_zones = load_bidding_zones_from_entsoepy()
-    bidding_zones.to_file(snakemake.output.file_entsoepy)
-
-    bidding_zones = load_bidding_zones_from_electricitymaps()
-    bidding_zones.to_file(snakemake.output.file_electricitymaps)

From ff78022ae6bdf351d0a4fd71a4a2d7f66dedb643 Mon Sep 17 00:00:00 2001
From: Bruno Vieira <brunovieira@fico.com>
Date: Sat, 24 Jan 2026 16:23:03 +0100
Subject: [PATCH 33/42] Add Xpress solver configuration support (#2006)

---
 config/config.default.yaml               | 12 ++++++++++++
 doc/installation.rst                     | 25 ++++++++++++++++++++++++
 doc/release_notes.rst                    |  2 ++
 scripts/lib/validation/config/solving.py | 14 +++++++++++++
 4 files changed, 53 insertions(+)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 265940ae2..ac838bcfc 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1237,6 +1237,18 @@ solving:
       GPUMode: 1
       PDLPTol: 1.0e-05
       Crossover: 0
+    "xpress-default":
+      threads: 8
+      lpflags: 4
+      crossover: 0
+      bargaptarget: 1.0e-05
+      baralg: 2
+    "xpress-gpu":
+      lpflags: 4
+      crossover: 0
+      baralg: 4
+      barhggpu: 1
+      barhgreltol: 1.0e-05
     "cbc-default": {}
     "glpk-default": {}
   check_objective:
diff --git a/doc/installation.rst b/doc/installation.rst
index 5e3a35595..ad0d7768d 100644
--- a/doc/installation.rst
+++ b/doc/installation.rst
@@ -111,6 +111,7 @@ Nevertheless, you can still use open-source solvers for smaller problems.
     The rules :mod:`cluster_network` solves a mixed-integer quadratic optimisation problem for clustering.
     The open-source solvers HiGHS, Cbc and GlPK cannot handle this. A fallback to SCIP is implemented in this case, which is included in the standard environment specifications.
     For an open-source solver setup install for example HiGHS **and** SCIP in your ``conda`` environment on OSX/Linux.
+
     To install the default solver Gurobi, run
 
     .. code:: console
@@ -119,3 +120,27 @@ Nevertheless, you can still use open-source solvers for smaller problems.
         $ conda install -c gurobi gurobi"=12.0.1"
 
     Additionally, you need to setup your `Gurobi license <https://www.gurobi.com/solutions/licensing/>`__.
+
+    To use Xpress, install the ``xpress`` Python package and ensure you have:
+
+    - ``XPRESSDIR`` environment variable pointing to your Xpress installation
+    - ``XPAUTH_PATH`` environment variable pointing to your license directory
+    - A valid Xpress license file
+
+    Then configure the solver in your config file:
+
+    .. code:: yaml
+
+        solving:
+          solver:
+            name: xpress
+            options: xpress-default
+
+    For GPU-accelerated solving, use:
+
+    .. code:: yaml
+
+        solving:
+          solver:
+            name: xpress
+            options: xpress-gpu
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index ed5fedafd..74175f6c4 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Added Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings optimized for large-scale linear programming problems.
+
 * Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
 
 * Fix virtual bus naming when building the transmission network from raw OSM data to use persistent names (https://github.com/PyPSA/pypsa-eur/pull/1956).
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
index d86812ecd..f44ba56fa 100644
--- a/scripts/lib/validation/config/solving.py
+++ b/scripts/lib/validation/config/solving.py
@@ -313,6 +313,20 @@ class SolvingConfig(BaseModel):
                 "PDLPTol": 1e-5,
                 "Crossover": 0,
             },
+            "xpress-default": {
+                "threads": 8,
+                "lpflags": 4,
+                "crossover": 0,
+                "bargaptarget": 1e-5,
+                "baralg": 2,
+            },
+            "xpress-gpu": {
+                "lpflags": 4,
+                "crossover": 0,
+                "baralg": 4,
+                "barhggpu": 1,
+                "barhgreltol": 1e-5,
+            },
             "cbc-default": {},
             "glpk-default": {},
         },

From adc14a97249ea56f4861787262fcb6ebd42e80a8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?= <coroa@posteo.de>
Date: Mon, 26 Jan 2026 10:25:40 +0000
Subject: [PATCH 34/42] fix: remove slurm dependency from windows environments
 (#2009)

* fix: remove slurm dependency from windows environments

pixi's platform selectors are documented in
https://pixi.prefix.dev/latest/reference/pixi_manifest/#the-target-table .

unix means any linux and osx.

* Update release_notes.rst

* fix: Add PR link to release notes
---
 doc/release_notes.rst | 2 ++
 pixi.lock             | 4 ----
 pixi.toml             | 4 +++-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 74175f6c4..0761d9d8c 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Remove snakemake's slurm plugin from windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
+
 * Added Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings optimized for large-scale linear programming problems.
 
 * Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
diff --git a/pixi.lock b/pixi.lock
index 0424ab995..e54727fdd 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2083,8 +2083,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/smmap-5.0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.1.0-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.22.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.3.9-pyhdfd78af_0.tar.bz2
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
@@ -5755,8 +5753,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/smmap-5.0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.1.0-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.22.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.3.9-pyhdfd78af_0.tar.bz2
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
diff --git a/pixi.toml b/pixi.toml
index ec25efdaf..fac2a8a25 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -89,7 +89,6 @@ scipy = ">=1.16.3"
 seaborn = ">=0.13.2"
 shapely = ">=2.0"
 snakemake-executor-plugin-cluster-generic = ">=1.0.9"
-snakemake-executor-plugin-slurm = ">=1.9.2"
 snakemake-minimal = ">=9"
 snakemake-storage-plugin-http = ">=0.3"
 tenacity = ">=9.1.2"
@@ -103,6 +102,9 @@ pandera = ">=0.28.1"
 natsort = ">=8.4.0"
 snakemake-logger-plugin-pypsa = ">=0.1.0"
 
+[target.unix.dependencies]
+snakemake-executor-plugin-slurm = ">=1.9.2"
+
 [feature.doc.tasks.build-docs]
 args = ["dir", {"arg" = "output", "default" = "html"}]
 cmd = "dot -c && sphinx-build -T -b {{ output }} doc {{ dir }}/{{ output }} "

From bca9f16a6a68db179cc439c73fe55877681a9511 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Mon, 26 Jan 2026 15:33:29 +0100
Subject: [PATCH 35/42] fix: follow up on added bidding zones datasets (#2007)

* fix: follow up on added bidding zones datasets

* better cache invalidation

* monthly cache invalidation for cutouts

* add zstd dep

* add zstd dep
---
 .github/workflows/test.yaml |   16 +-
 pixi.lock                   | 2724 +++++++++++++++++++----------------
 pixi.toml                   |    2 +-
 rules/build_electricity.smk |    4 +-
 rules/retrieve.smk          |    6 +-
 test/conftest.py            |   26 +-
 test/test_build_shapes.py   |   27 +-
 7 files changed, 1529 insertions(+), 1276 deletions(-)

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index c2d278bac..427cf546d 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -96,15 +96,21 @@ jobs:
     - name: Setup cache keys
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
       run: |
-        echo "WEEK=$(date +'%Y%U')" >> $GITHUB_ENV # data and cutouts
+        echo "WEEK=$(date +'%Y%U')" >> $GITHUB_ENV # data
+        echo "MONTH=$(date +'%Y%m')" >> $GITHUB_ENV # cutouts
+        echo "VERSIONS_HASH=${{ hashFiles('data/versions.csv') }}" >> $GITHUB_ENV
 
     - uses: actions/cache@v5
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
       with:
-        path: |
-          data
-          cutouts
-        key: data-cutouts-${{ env.WEEK }}
+        path: data
+        key: data-${{ env.WEEK }}-${{ env.VERSIONS_HASH }}
+
+    - uses: actions/cache@v5
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      with:
+        path: cutouts
+        key: cutouts-${{ env.MONTH }}
 
     - name: Restore git-tracked files in data/
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
diff --git a/pixi.lock b/pixi.lock
index e54727fdd..a8d7f9091 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,6 +5,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -50,9 +52,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.606-h20b40b1_10.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.16.1-h3a458e0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-identity-cpp-1.13.2-h3a5f585_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.15.0-h2a74896_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.11.0-h3d7a050_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.13.0-hf38f1be_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.16.0-h75daedc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.12.0-h3d7a050_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-hd454692_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.17.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py313h18e8e13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda
@@ -60,9 +62,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.3.0-h5f6438b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.30-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.34-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.34-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
@@ -97,7 +99,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/configargparse-1.7.1-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313h7037e92_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313hc8edb43_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/country_converter-1.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cppad-20250000.2-h5888daf_0.conda
@@ -123,8 +125,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.45.0-h83bc92c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.9-pyhd8ed1ab_0.conda
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   license: BSD-3-Clause
   license_family: BSD
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   size: 13807691
   timestamp: 1764615160918
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+  license: BSD-3-Clause
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   - sqlite
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   license: MIT
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-  size: 2918228
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   license: MIT
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+  license_family: APACHE
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
   sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
   md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
diff --git a/pixi.toml b/pixi.toml
index fac2a8a25..9e896d0c4 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -97,7 +97,7 @@ tsam = ">=2.3.1"
 xarray = ">=2024.3.0,<2025.7.0"
 xlrd = ">=2.0.2"
 yaml = ">=0.2.5"
-snakemake-storage-plugin-cached-http = ">=0.1.0"
+snakemake-storage-plugin-cached-http = ">=0.2.1"
 pandera = ">=0.28.1"
 natsort = ">=8.4.0"
 snakemake-logger-plugin-pypsa = ">=0.1.0"
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index 1606a11d2..6c16232db 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -136,8 +136,8 @@ rule build_bidding_zones:
             "clustering", "build_bidding_zones", "aggregate_to_tyndp"
         ),
     input:
-        bidding_zones_entsoepy="data/busshapes/bidding_zones_entsoepy.geojson",
-        bidding_zones_electricitymaps="data/busshapes/bidding_zones_electricitymaps.geojson",
+        bidding_zones_entsoepy=f"{BIDDING_ZONES_ENTSOEPY_DATASET['folder']}/bidding_zones_entsoepy.geojson",
+        bidding_zones_electricitymaps=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET['folder']}/bidding_zones_electricitymaps.geojson",
     output:
         file=resources("bidding_zones.geojson"),
     log:
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index e2030ad0e..15c597e85 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -323,13 +323,13 @@ if (
     BIDDING_ZONES_ELECTRICITYMAPS_DATASET := dataset_version(
         "bidding_zones_electricitymaps"
     )
-)["source"] in ["primary"]:
+)["source"] in ["primary", "archive"]:
 
     rule retrieve_bidding_zones_electricitymaps:
         input:
             geojson=storage(BIDDING_ZONES_ELECTRICITYMAPS_DATASET["url"]),
         output:
-            geojson=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET["folder"]}/bidding_zones_electricitymaps.geojson",
+            geojson=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET['folder']}/bidding_zones_electricitymaps.geojson",
         log:
             "logs/retrieve_bidding_zones_electricitymaps.log",
         resources:
@@ -341,7 +341,7 @@ if (
 
 if (BIDDING_ZONES_ENTSOEPY_DATASET := dataset_version("bidding_zones_entsoepy"))[
     "source"
-] in ["primary"]:
+] in ["primary", "archive"]:
 
     rule retrieve_bidding_zones_entsoepy:
         output:
diff --git a/test/conftest.py b/test/conftest.py
index 284ee5e75..1bb133b1f 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -5,7 +5,6 @@
 import pathlib
 import zipfile
 from functools import reduce
-from shutil import unpack_archive
 from urllib.request import urlretrieve
 
 import geopandas as gpd
@@ -135,18 +134,19 @@ def download_natural_earth(tmpdir):
     pathlib.Path(natural_earth_shape_file_path).unlink(missing_ok=True)
 
 
-@pytest.fixture(scope="function")
-def download_eez(tmpdir):
-    url = "https://data.pypsa.org/workflows/eur/eez/v12_20231025/World_EEZ_v12_20231025_LR.zip"
-    zipped_filename = "World_EEZ_v12_20231025_LR.zip"
-    zipped_filename_path = pathlib.Path(tmpdir, zipped_filename)
-    urlretrieve(url, zipped_filename_path)
-    unpack_archive(zipped_filename_path, tmpdir)
-    output_path = pathlib.Path(
-        tmpdir, "World_EEZ_v12_20231025_LR", "eez_v12_lowres.gpkg"
-    )
-    yield output_path
-    pathlib.Path(output_path).unlink(missing_ok=True)
+# Disable because of unreliable data download
+# @pytest.fixture(scope="function")
+# def download_eez(tmpdir):
+#     url = "https://data.pypsa.org/workflows/eur/eez/v12_20231025/World_EEZ_v12_20231025_LR.zip"
+#     zipped_filename = "World_EEZ_v12_20231025_LR.zip"
+#     zipped_filename_path = pathlib.Path(tmpdir, zipped_filename)
+#     urlretrieve(url, zipped_filename_path)
+#     unpack_archive(zipped_filename_path, tmpdir)
+#     output_path = pathlib.Path(
+#         tmpdir, "World_EEZ_v12_20231025_LR", "eez_v12_lowres.gpkg"
+#     )
+#     yield output_path
+#     pathlib.Path(output_path).unlink(missing_ok=True)
 
 
 @pytest.fixture(scope="function")
diff --git a/test/test_build_shapes.py b/test/test_build_shapes.py
index 8660d0011..0c75127e7 100644
--- a/test/test_build_shapes.py
+++ b/test/test_build_shapes.py
@@ -15,7 +15,7 @@
 
 sys.path.append("./scripts")
 
-from build_shapes import _simplify_polys, eez
+from build_shapes import _simplify_polys
 
 path_cwd = pathlib.Path.cwd()
 
@@ -59,15 +59,16 @@ def test_simplify_polys(tolerance, expected_tuple, italy_shape):
     assert all([x == y for x, y in zip(output_tuple, expected_tuple)])
 
 
-@pytest.mark.parametrize(
-    "country_list",
-    [["DE"], ["IT"]],
-)
-def test_eez(config, country_list, download_eez):
-    """
-    Verify what is returned by eez.
-    """
-    eez_path = download_eez
-    offshore_shapes_gdf = eez(eez_path, country_list)
-    assert offshore_shapes_gdf.shape == (1, 1)
-    assert offshore_shapes_gdf.index == country_list[0]
+# Disable because of unreliable download_eez
+# @pytest.mark.parametrize(
+#     "country_list",
+#     [["DE"], ["IT"]],
+# )
+# def test_eez(config, country_list, download_eez):
+#     """
+#     Verify what is returned by eez.
+#     """
+#     eez_path = download_eez
+#     offshore_shapes_gdf = eez(eez_path, country_list)
+#     assert offshore_shapes_gdf.shape == (1, 1)
+#     assert offshore_shapes_gdf.index == country_list[0]

From 3f04d249ab4f47bb0c26465f04e78182ecda57f2 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 26 Jan 2026 15:37:42 +0100
Subject: [PATCH 36/42] Update locked environment files for all platforms
 (#2011)

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  |  75 +++++++++----------
 envs/default_osx-64.pin.txt    |  79 ++++++++++----------
 envs/default_osx-arm64.pin.txt |  79 ++++++++++----------
 envs/default_win-64.pin.txt    |  74 +++++++++----------
 envs/environment.yaml          |   4 +-
 pixi.lock                      | 128 ++++++++++++++++++---------------
 6 files changed, 231 insertions(+), 208 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index d8c0684de..39b360bb1 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -50,6 +50,9 @@ https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/highspy-1.12.0-np2py313h73dcb5b_0.conda#95abab2403527c4199e6daa94671d46a
 https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda#ed5f5e0cbc50f05631813b0d48021de1
 https://conda.anaconda.org/conda-forge/noarch/tenacity-9.1.2-pyhd8ed1ab_0.conda#5d99943f2ae3cc69e1ada12ce9d4d701
+https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
+https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda#d0616e7935acab407d1543b28c446f6f
+https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py313h54dd161_1.conda#710d4663806d0f72b2fb414e936223b5
 https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda#0caa1af407ecff61170c9437a808404d
 https://conda.anaconda.org/conda-forge/noarch/tqdm-loggable-0.2-pyhd8ed1ab_0.conda#bdb8608d3b834159b1b684dc6df3ac44
 https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.17.3-py313h07c4f96_1.conda#c2662497e9a9ff2153753682f53989c9
@@ -72,8 +75,6 @@ https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1a
 https://conda.anaconda.org/conda-forge/noarch/certifi-2026.1.4-pyhd8ed1ab_0.conda#eacc711330cd46939f66cd401ff9c44b
 https://conda.anaconda.org/conda-forge/noarch/requests-2.32.5-pyhcf101f3_1.conda#c65df89a0b2e321045a9e01d1337b182
 https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.10.1-pyhd8ed1ab_0.conda#84c5c40ea7c5bbc6243556e5daed20e7
-https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
-https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda#d0616e7935acab407d1543b28c446f6f
 https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.3-py313heb322e3_1.conda#4e6278c519f2766ea707361f81b33364
 https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda#42834439227a4551b939beeeb8a4b085
 https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.3.1-pyhd8ed1ab_0.conda#d4f3f31ee39db3efecb96c0728d4bdbf
@@ -86,7 +87,7 @@ https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.
 https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda#11a2b8c732d215d977998ccd69a9d5e8
 https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.9-pyh29332c3_0.conda#4f14640d58e2cc0aa0819d9d8ba125bb
 https://conda.anaconda.org/conda-forge/noarch/httpx-0.28.1-pyhd8ed1ab_0.conda#d6989ead454181f4f9bc987d3dc4e285
-https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda#17232431f65ce347f972f0fd95d2e97a
+https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.2.1-pyhdfd78af_0.conda#f50f82ac51409fd0dc75a20a9f6930ea
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda#a77f85f77be52ff59391544bfe73390a
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.3-py313h3dea7bd_0.conda#4794ea0adaebd9f844414e594b142cb2
 https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda#7b2af124684a994217e62c641bca2e48
@@ -132,7 +133,7 @@ https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-p
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda#7d4f2bf739967798eb4d8c02d59cf36c
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.1.0-pyhdfd78af_0.conda#01e79189d86f278322d0807f7d1dbada
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2#9b1db7127119f513696d620eefe7bf67
-https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.13-h4196e79_0.conda#5c8827cadaa6c8d4b8e510cf3dbf0fa6
+https://conda.anaconda.org/conda-forge/linux-64/ruff-0.14.14-h4196e79_0.conda#830a347c5a4bb01b72c6e5b23ba35515
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py313h54dd161_1.conda#ef8c7c9f4ea478806d9056bbc9c9c093
 https://conda.anaconda.org/conda-forge/noarch/ruamel.yaml-0.19.1-pyhcf101f3_0.conda#06ad944772941d5dae1e0d09848d8e49
 https://conda.anaconda.org/conda-forge/noarch/xarray-2025.6.1-pyhd8ed1ab_1.conda#145c6f2ac90174d9ad1a2a51b9d7c1dd
@@ -153,7 +154,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949
 https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda#b38117a3c920364aff79f870c984b4a3
 https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda#3f43953b7d3fb3aaa1d0d0723d91e368
 https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.18.0-h4e3cde8_0.conda#0a5563efed19ca4461cf927419b6eb73
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.7.1-h99ae125_0.conda#8bbc19a6e87fbe8b97796e9a42a47a30
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.7.1-he0df7b0_2.conda#beb1885cfdb793193bba83c9720d53b1
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
 https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.3.0-hd9031aa_1.conda#66a1db55ecdb7377d2b91f54cd56eafa
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.47-haa7fec5_0.conda#7a3bff861a6583f1889021facefc08b1
@@ -234,7 +235,7 @@ https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.cond
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda#8ccf913aaba749a5496c17629d859ed1
 https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.61.1-py313h3dea7bd_0.conda#c0f36dfbb130da4f6ce2df31f6b25ea8
 https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda#4c2a8fef270f6c69591889b93f9f55c1
-https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313h7037e92_3.conda#6186382cb34a9953bf2a18fc763dc346
+https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313hc8edb43_4.conda#33639459bc29437315d4bff9ed5bc7a7
 https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.8-py313h683a580_0.conda#ffe67570e1a9192d2f4c189b27f75f89
 https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.13.2-pyhd8ed1ab_3.conda#fd96da444e81f9e6fcaac38590f3dd42
 https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_3.conda#62afb877ca2c2b4b6f9ecb37320085b6
@@ -242,7 +243,7 @@ https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_
 https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda#46830ee16925d5ed250850503b5dc3a8
 https://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2#9a66894dfd07c4510beb6b3f9672ccc0
 https://conda.anaconda.org/conda-forge/linux-64/numexpr-2.14.1-py313h24ae7f9_101.conda#b7e46fb2704458afc67fb95773528967
-https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.4-h3f801dc_0.conda#01ba04e414e47f95c03d6ddd81fd37be
+https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.5-h088129d_0.conda#86f7414544ae606282352fa1e116b41f
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h1b119a7_105.conda#d58cd79121dd51128f2a5dab44edf1ea
 https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-2.22.0-hc31b594_1.conda#52019609422a72ec80c32bbc16a889d8
 https://conda.anaconda.org/conda-forge/linux-64/pytables-3.10.2-py313h0546747_10.conda#fda299ac2474303b7327a8399d541a9f
@@ -274,7 +275,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.73.1-h3288cfb_1.conda#
 https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py313h2b3948d_1.conda#1180380822ba420e7d953bb6f1e3666d
 https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda#003094932fb90de018f77a273b8a509b
 https://conda.anaconda.org/conda-forge/noarch/grpcio-status-1.73.1-pyhd8ed1ab_0.conda#5a2944f868149ad5a2e6588be8eed838
-https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.6.1-pyhd8ed1ab_2.conda#09bb17ed307ad6ab2fd78d32372fdd4e
+https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.6.2-pyhd8ed1ab_0.conda#c203d401759f448f9e792974e055bcdc
 https://conda.anaconda.org/conda-forge/noarch/rsa-4.9.1-pyhd8ed1ab_0.conda#58958bb50f986ac0c46f73b6e290d5fe
 https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_1.conda#644bd4ca9f68ef536b902685d773d697
 https://conda.anaconda.org/conda-forge/noarch/pyopenssl-25.3.0-pyhd8ed1ab_0.conda#ddf01a1d87103a152f725c7aeabffa29
@@ -330,12 +331,12 @@ https://conda.anaconda.org/conda-forge/noarch/xlrd-2.0.2-pyhd8ed1ab_0.conda#91f5
 https://conda.anaconda.org/conda-forge/noarch/unidecode-1.4.0-pyhcf101f3_1.conda#53cb4b14ab0841e104e2bd11ee64b840
 https://conda.anaconda.org/conda-forge/noarch/pycountry-24.6.1-pyhd8ed1ab_0.conda#62ed8c560f1b5b8d74ed11e68e9ae223
 https://conda.anaconda.org/conda-forge/noarch/et_xmlfile-2.0.0-pyhd8ed1ab_1.conda#71bf9646cbfabf3022c8da4b6b4da737
-https://conda.anaconda.org/conda-forge/linux-64/openpyxl-3.1.5-py313ha4be090_2.conda#b60c0b0eb91e1a7d6761f0a21219f468
+https://conda.anaconda.org/conda-forge/linux-64/openpyxl-3.1.5-py313ha4be090_3.conda#993d27015ca7aa1de3f4a471a9b5309e
 https://conda.anaconda.org/conda-forge/noarch/geographiclib-2.1-pyhd8ed1ab_0.conda#43dd16b113cc7b244d923b630026ff4f
 https://conda.anaconda.org/conda-forge/noarch/geopy-2.4.1-pyhd8ed1ab_2.conda#40182a8d62a61d147ec7d3e4c5c36ac2
-https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.2-pyhd8ed1ab_0.conda#fcbe3971b6017792e9b24ff451daa7f5
+https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.3-pyhd8ed1ab_0.conda#18de09b20462742fe093ba39185d9bac
 https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda#5267bef8efea4127aacd1f4e1f149b6e
-https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.8-pyhd8ed1ab_0.conda#3181cf53cd50513a1a7c00aae2f08e7a
+https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.9-pyhd8ed1ab_0.conda#6e2b8dfbfd1b4e91f49fd13218db08d7
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@@ -589,6 +590,6 @@ https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.45.0-h83bc92c_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.45.0-np2py313hc18bace_1.conda#17ae2a605a45add6050a04962f847b21
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
 https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
-https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.1-pyhd8ed1ab_0.conda#ea90ece1da754ca0c5d6766eb59908c2
+https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda#d957f10f516dcdeb9e382c91d771df12
 https://conda.anaconda.org/conda-forge/noarch/cdsapi-0.7.7-pyhd8ed1ab_0.conda#1f878573c1ee2798c052bee1f5a94f50
 https://conda.anaconda.org/conda-forge/noarch/atlite-0.4.1-pyhd8ed1ab_1.conda#81f981df273cd627927372680aa9dd31
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 075fb7d14..bcabdff15 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -1,6 +1,11 @@
 # Generated by `pixi workspace export`
 # platform: osx-64
 @EXPLICIT
+https://conda.anaconda.org/conda-forge/osx-64/liblzma-5.8.2-h11316ed_0.conda#688a0c3d57fa118b9c97bf7e471ab46c
+https://conda.anaconda.org/conda-forge/osx-64/xz-tools-5.8.2-h11316ed_0.conda#8c55281fadb998fba0bc4fd9268b6479
+https://conda.anaconda.org/conda-forge/osx-64/xz-gpl-tools-5.8.2-h8df612c_0.conda#dc48d35878e8be3fc20616673955752b
+https://conda.anaconda.org/conda-forge/osx-64/liblzma-devel-5.8.2-h11316ed_0.conda#21ec03957f30412305e639a93b343915
+https://conda.anaconda.org/conda-forge/osx-64/xz-5.8.2-h8df612c_0.conda#6aceb22c49cb9c690fa7a9b700163c28
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
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@@ -11,11 +16,10 @@ https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_
 https://conda.anaconda.org/conda-forge/osx-64/openssl-3.6.0-h230baf5_0.conda#3f50cdf9a97d0280655758b735781096
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 https://conda.anaconda.org/conda-forge/osx-64/libmpdec-4.0.0-h6e16a3a_0.conda#18b81186a6adb43f000ad19ed7b70381
-https://conda.anaconda.org/conda-forge/osx-64/liblzma-5.8.2-h11316ed_0.conda#688a0c3d57fa118b9c97bf7e471ab46c
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 https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h500dc9f_8.conda#97c4b3bd8a90722104798175a1bdddbf
-https://conda.anaconda.org/conda-forge/osx-64/python-3.13.11-h17c18a5_100_cp313.conda#6ffffd784fe1126b73329e29c80ddf53
+https://conda.anaconda.org/conda-forge/osx-64/python-3.13.0-h3a8ca6c_101_cp313.conda#0acea4c3eee2454fd642d1a4eafa2943
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 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
@@ -43,8 +47,12 @@ https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01
 https://conda.anaconda.org/conda-forge/osx-64/pandas-2.3.3-py313h2f264a9_1.conda#edd7a9cfba45ab3073b594ec999a24fe
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+https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda#2b661fd7a718757b2e91bbcac81deb48
 https://conda.anaconda.org/conda-forge/noarch/tenacity-9.1.2-pyhd8ed1ab_0.conda#5d99943f2ae3cc69e1ada12ce9d4d701
+https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h3eecb57_6.conda#727109b184d680772e3122f40136d5ca
+https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
+https://conda.anaconda.org/conda-forge/osx-64/cffi-2.0.0-py313hf57695f_1.conda#b10f64f2e725afc9bf2d9b30eff6d0ea
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@@ -60,7 +68,6 @@ https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.cond
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-https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h3eecb57_6.conda#727109b184d680772e3122f40136d5ca
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@@ -68,8 +75,6 @@ https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1a
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-https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
-https://conda.anaconda.org/conda-forge/osx-64/cffi-2.0.0-py313hf57695f_1.conda#b10f64f2e725afc9bf2d9b30eff6d0ea
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@@ -82,7 +87,7 @@ https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.
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-https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.1.0-pyhdfd78af_0.conda#17232431f65ce347f972f0fd95d2e97a
+https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.2.1-pyhdfd78af_0.conda#f50f82ac51409fd0dc75a20a9f6930ea
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@@ -128,7 +133,7 @@ https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-p
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda#7d4f2bf739967798eb4d8c02d59cf36c
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.1.0-pyhdfd78af_0.conda#01e79189d86f278322d0807f7d1dbada
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2#9b1db7127119f513696d620eefe7bf67
-https://conda.anaconda.org/conda-forge/osx-64/ruff-0.14.13-hb17bafe_0.conda#e53e2e4106b7a55550c68f33cec147c3
+https://conda.anaconda.org/conda-forge/osx-64/ruff-0.14.14-hb17bafe_0.conda#6b6dc1740a886262528179674fa132d8
 https://conda.anaconda.org/conda-forge/osx-64/ruamel.yaml.clib-0.2.15-py313h16366db_1.conda#846c1dd713142a49a08e917a92343f51
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@@ -146,7 +151,7 @@ https://conda.anaconda.org/conda-forge/osx-64/libnghttp2-1.67.0-h3338091_0.conda
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-https://conda.anaconda.org/conda-forge/osx-64/proj-9.7.0-h3124640_0.conda#c952a9e5ecd52f6dfdb1b4e43e033893
+https://conda.anaconda.org/conda-forge/osx-64/proj-9.7.1-h4aacef1_2.conda#2deeb48139ea69c6000e5f26296195fc
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@@ -221,14 +226,14 @@ https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.2.0-h8616949_1.conda#
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+https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.3.3-py313h98b818e_4.conda#24c06ae9a202f16555c5a1f8006a0bd7
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-https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.6.1-pyhd8ed1ab_2.conda#09bb17ed307ad6ab2fd78d32372fdd4e
+https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.6.2-pyhd8ed1ab_0.conda#c203d401759f448f9e792974e055bcdc
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@@ -408,9 +413,9 @@ https://conda.anaconda.org/conda-forge/noarch/comm-0.2.3-pyhe01879c_0.conda#2da1
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-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda#47b58fa741a608dac785b71b8083bdb7
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-https://conda.anaconda.org/conda-forge/osx-64/graphviz-14.1.1-h44fc223_0.conda#907885685648c2acd96751c9f3800bc8
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@@ -458,25 +463,25 @@ https://conda.anaconda.org/conda-forge/noarch/zarr-3.1.5-pyhcf101f3_0.conda#c184
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@@ -516,7 +521,7 @@ https://conda.anaconda.org/conda-forge/noarch/tblib-3.2.2-pyhcf101f3_0.conda#f88
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+https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda#0b830ba4947de6d60dd9d96827a1cacb
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@@ -524,6 +529,6 @@ https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.45.0-hef68630_0.conda#c2
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+https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda#d957f10f516dcdeb9e382c91d771df12
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 0d5b70013..bd3ae41c7 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -1,6 +1,11 @@
 # Generated by `pixi workspace export`
 # platform: osx-arm64
 @EXPLICIT
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+https://conda.anaconda.org/conda-forge/osx-arm64/xz-gpl-tools-5.8.2-hd0f0c4f_0.conda#3c8f80ff660321d5259ebc3743265566
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@@ -12,11 +17,10 @@ https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.6.0-h5503f6c_0.conda#
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 7309c7d85..2af91d095 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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+https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.34-pyhd8ed1ab_0.conda#54bcb8039fe8f63c9990afe552df4fdc
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda#061b5affcffeef245d60ec3007d1effd
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.30-pyhd8ed1ab_0.conda#524a4e4a5961300edb23f363225f617a
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.34-pyhd8ed1ab_0.conda#8461fcbfd947f60cabe4719fb3a55189
 https://conda.anaconda.org/conda-forge/win-64/libutf8proc-2.11.3-hb980946_0.conda#5f34fcb6578ea9bdbfd53cc2cfb88200
-https://conda.anaconda.org/conda-forge/win-64/orc-2.2.1-h7414dfc_0.conda#a9b6ebf475194b0e5ad43168e9b936a7
+https://conda.anaconda.org/conda-forge/win-64/orc-2.2.2-hbd3206f_0.conda#e20393ad8ebe534f3937e0a5da44e287
 https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-2.39.0-h19ee442_0.conda#c2c512f98c5c666782779439356a1713
 https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-storage-2.39.0-he04ea4c_0.conda#26198e3dc20bbcbea8dd6fa5ab7ea1e0
 https://conda.anaconda.org/conda-forge/win-64/aws-c-common-0.12.6-hfd05255_0.conda#b1465f33b05b9af02ad0887c01837831
@@ -480,16 +482,16 @@ https://conda.anaconda.org/conda-forge/win-64/aws-c-mqtt-0.13.3-hfa314fa_11.cond
 https://conda.anaconda.org/conda-forge/win-64/aws-c-event-stream-0.5.7-ha388e84_1.conda#34e3b065b76c8a144c92e224cc3f5672
 https://conda.anaconda.org/conda-forge/win-64/aws-crt-cpp-0.35.4-hca034e6_0.conda#ce1a20b5c406727e32222ac91e5848c4
 https://conda.anaconda.org/conda-forge/win-64/aws-sdk-cpp-1.11.606-hac16450_10.conda#d9b942bede589d0ad1e8e360e970efd0
-https://conda.anaconda.org/conda-forge/win-64/libarrow-22.0.0-h89d7da9_6_cpu.conda#e9fe1ee5e997417347e1ee312af94092
-https://conda.anaconda.org/conda-forge/win-64/libarrow-compute-22.0.0-h2db994a_6_cpu.conda#922c36699625c3f49940337feeba8291
-https://conda.anaconda.org/conda-forge/win-64/pyarrow-core-22.0.0-py313h5921983_1_cpu.conda#cd14a6016e2f1cd538de4353165513a1
+https://conda.anaconda.org/conda-forge/win-64/libarrow-23.0.0-hcf7e2ff_0_cpu.conda#b6f129fd980b012c234b455219f31a6d
+https://conda.anaconda.org/conda-forge/win-64/libarrow-compute-23.0.0-h2db994a_0_cpu.conda#3dc0dfb46631dc00a44c4ed869e54cfa
+https://conda.anaconda.org/conda-forge/win-64/pyarrow-core-23.0.0-py313h5921983_0_cpu.conda#21e4e6043a16516491070395dcb716e1
 https://conda.anaconda.org/conda-forge/win-64/libevent-2.1.12-h3671451_1.conda#25efbd786caceef438be46da78a7b5ef
 https://conda.anaconda.org/conda-forge/win-64/libthrift-0.22.0-h23985f6_1.conda#556d49ad5c2ad553c2844cc570bb71c7
-https://conda.anaconda.org/conda-forge/win-64/libparquet-22.0.0-h7051d1f_6_cpu.conda#d840a2b45e737bb768ec4e0d5bf36c90
-https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-22.0.0-h7d8d6a5_6_cpu.conda#bbef682dd3d8f686faad9f1a94b3d9ae
-https://conda.anaconda.org/conda-forge/win-64/libarrow-dataset-22.0.0-h7d8d6a5_6_cpu.conda#974630001cbf61d4d94a7c7c142eade4
-https://conda.anaconda.org/conda-forge/win-64/libarrow-substrait-22.0.0-hf865cc0_6_cpu.conda#01d0606bf4202d358a71545759223202
-https://conda.anaconda.org/conda-forge/win-64/pyarrow-22.0.0-py313hfa70ccb_1.conda#d5d71cc1fb2b51a87911e290b30cf204
+https://conda.anaconda.org/conda-forge/win-64/libparquet-23.0.0-h7051d1f_0_cpu.conda#fa8b0d1f7d292d01a78dcc370d903ba3
+https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-23.0.0-h7d8d6a5_0_cpu.conda#540182c554868cef4ead05206147705b
+https://conda.anaconda.org/conda-forge/win-64/libarrow-dataset-23.0.0-h7d8d6a5_0_cpu.conda#9636a9e56e2884a13af82b52f40e3335
+https://conda.anaconda.org/conda-forge/win-64/libarrow-substrait-23.0.0-hf865cc0_0_cpu.conda#a0822fb8692ae257f0cbba0003aa4e62
+https://conda.anaconda.org/conda-forge/win-64/pyarrow-23.0.0-py313hfa70ccb_0.conda#8b80b54f9b732e3165cedad435dc70ab
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
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 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda#c138c7aaa6a10b5762dcd92247864aff
@@ -505,7 +507,7 @@ https://conda.anaconda.org/conda-forge/noarch/tblib-3.2.2-pyhcf101f3_0.conda#f88
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 https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py313h5ea7bf4_1.conda#ef2e9ff6d43a07587e3483c34adf6cff
 https://conda.anaconda.org/conda-forge/noarch/distributed-2026.1.1-pyhcf101f3_1.conda#c15e359a982395be86a7576a91f9c5f5
-https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.1-pyhd8ed1ab_0.conda#f301f72474b91f1f83d42bcc7d81ce09
+https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda#0b830ba4947de6d60dd9d96827a1cacb
 https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.1-pyhcf101f3_0.conda#a86541105aa7920d2147d48bf370dc08
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/win-64/freeglut-3.2.2-he0c23c2_3.conda#5872031ef7cba8435ff24af056777473
@@ -514,6 +516,6 @@ https://conda.anaconda.org/conda-forge/win-64/eccodes-2.45.0-h2bffdaa_0.conda#d2
 https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.45.0-np2py313haacffc7_1.conda#82fe43e13ca2ca5efc8251da86362acf
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
 https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
-https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.1-pyhd8ed1ab_0.conda#ea90ece1da754ca0c5d6766eb59908c2
+https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda#d957f10f516dcdeb9e382c91d771df12
 https://conda.anaconda.org/conda-forge/noarch/cdsapi-0.7.7-pyhd8ed1ab_0.conda#1f878573c1ee2798c052bee1f5a94f50
 https://conda.anaconda.org/conda-forge/noarch/atlite-0.4.1-pyhd8ed1ab_1.conda#81f981df273cd627927372680aa9dd31
diff --git a/envs/environment.yaml b/envs/environment.yaml
index cee59d7b6..08b896d78 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -57,7 +57,6 @@ dependencies:
 - seaborn >=0.13.2
 - shapely >=2.0
 - snakemake-executor-plugin-cluster-generic >=1.0.9
-- snakemake-executor-plugin-slurm >=1.9.2
 - snakemake-minimal >=9
 - snakemake-storage-plugin-http >=0.3
 - tenacity >=9.1.2
@@ -66,7 +65,8 @@ dependencies:
 - xarray >=2024.3.0,<2025.7.0
 - xlrd >=2.0.2
 - yaml >=0.2.5
-- snakemake-storage-plugin-cached-http >=0.1.0
+- snakemake-storage-plugin-cached-http >=0.2.1
 - pandera >=0.28.1
 - natsort >=8.4.0
 - snakemake-logger-plugin-pypsa >=0.1.0
+- snakemake-executor-plugin-slurm >=1.9.2
diff --git a/pixi.lock b/pixi.lock
index a8d7f9091..f5dd7ff46 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,8 +5,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -379,7 +377,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.16.5-py313h08cd8bf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numexpr-2.14.1-py313h24ae7f9_101.conda
@@ -452,7 +450,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.11-hc97d973_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.45.0-np2py313hc18bace_1.conda
@@ -537,7 +535,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tqdm-loggable-0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typeguard-4.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.2-pyhd8ed1ab_1.conda
@@ -580,11 +578,11 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.5-h5888daf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.6-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.4-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxtst-1.2.5-hb9d3cd8_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.6-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.7-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2025.1-hb03c661_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.2-ha02ee65_0.conda
@@ -936,7 +934,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-64/nlohmann_json-3.12.0-h06076ce_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numcodecs-0.16.5-py313h2f264a9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numexpr-2.14.1-py313h821d116_1.conda
@@ -1468,7 +1466,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/nlohmann_json-3.12.0-h784d473_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numcodecs-0.16.5-py313h7d16b84_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numexpr-2.14.1-py313h73ed539_1.conda
@@ -1978,7 +1976,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.16.5-py313hc90dcd4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/numexpr-2.14.1-py313h7034ea3_101.conda
@@ -2189,8 +2187,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -2600,12 +2596,12 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.5-h5888daf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.6-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.4-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxt-1.3.1-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxtst-1.2.5-hb9d3cd8_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.6-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.7-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2025.1-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/xyzservices-2025.11.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
@@ -3691,8 +3687,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -4065,7 +4059,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.16.5-py313h08cd8bf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numexpr-2.14.1-py313h24ae7f9_101.conda
@@ -4138,7 +4132,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pytables-3.10.2-py313h0546747_10.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.11-hc97d973_100_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.45.0-np2py313hc18bace_1.conda
@@ -4223,7 +4217,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tqdm-loggable-0.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typeguard-4.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.2-pyhd8ed1ab_1.conda
@@ -4266,11 +4260,11 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxfixes-6.0.2-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.5-h5888daf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.6-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.4-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxtst-1.2.5-hb9d3cd8_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.6-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.7-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2025.1-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/xyzservices-2025.11.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.2-ha02ee65_0.conda
@@ -4622,7 +4616,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/nlohmann_json-3.12.0-h06076ce_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numcodecs-0.16.5-py313h2f264a9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numexpr-2.14.1-py313h821d116_1.conda
@@ -5154,7 +5148,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/nlohmann_json-3.12.0-h784d473_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numcodecs-0.16.5-py313h7d16b84_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numexpr-2.14.1-py313h73ed539_1.conda
@@ -5664,7 +5658,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.16.5-py313hc90dcd4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/numexpr-2.14.1-py313h7034ea3_101.conda
@@ -22332,22 +22326,21 @@ packages:
   license_family: BSD
   size: 3843
   timestamp: 1582593857545
-- conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.2-pyhcf101f3_0.conda
-  sha256: 05bda90b7a980593c5e955dec5c556ff4dabf56e6ff45a3fb6c670f5f20b11e6
-  md5: 47b58fa741a608dac785b71b8083bdb7
+- conda: https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.3-pyhcf101f3_0.conda
+  sha256: 014cf291843861b20cf84a89e8450f0dd13ad1e6d2ab30c56ae43b81f2dca233
+  md5: 94a5f0cee51b6b0ffdcad0af6db0af18
   depends:
   - importlib_resources >=5.0
   - jupyter_server >=2.4.0,<3
-  - jupyterlab >=4.5.2,<4.6
+  - jupyterlab >=4.5.3,<4.6
   - jupyterlab_server >=2.28.0,<3
   - notebook-shim >=0.2,<0.3
   - python >=3.10
   - tornado >=6.2.0
   - python
   license: BSD-3-Clause
-  license_family: BSD
-  size: 10042205
-  timestamp: 1768230688040
+  size: 10047711
+  timestamp: 1769434091366
 - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda
   sha256: 7b920e46b9f7a2d2aa6434222e5c8d739021dbc5cc75f32d124a8191d86f9056
   md5: e7f89ea5f7ea9401642758ff50a2d9c1
@@ -26262,31 +26255,32 @@ packages:
   license: Python-2.0
   size: 31547362
   timestamp: 1760367376467
-- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda
-  build_number: 101
-  sha256: 66a7997b24b2dca636df11402abec7bd2199ddf6971eb47a3ee6b1d27d4faee9
-  md5: f4fea9d5bb3f2e61a39950a7ab70ee4e
+- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.11-hc97d973_100_cp313.conda
+  build_number: 100
+  sha256: 9cf014cf28e93ee242bacfbf664e8b45ae06e50b04291e640abeaeb0cba0364c
+  md5: 0cbb0010f1d8ecb64a428a8d4214609e
   depends:
   - __glibc >=2.17,<3.0.a0
   - bzip2 >=1.0.8,<2.0a0
   - ld_impl_linux-64 >=2.36.1
-  - libexpat >=2.6.4,<3.0a0
-  - libffi >=3.4,<4.0a0
-  - libgcc >=13
+  - libexpat >=2.7.3,<3.0a0
+  - libffi >=3.5.2,<3.6.0a0
+  - libgcc >=14
+  - liblzma >=5.8.1,<6.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.47.0,<4.0a0
-  - libuuid >=2.38.1,<3.0a0
+  - libsqlite >=3.51.1,<4.0a0
+  - libuuid >=2.41.2,<3.0a0
   - libzlib >=1.3.1,<2.0a0
   - ncurses >=6.5,<7.0a0
-  - openssl >=3.4.0,<4.0a0
+  - openssl >=3.5.4,<4.0a0
   - python_abi 3.13.* *_cp313
   - readline >=8.2,<9.0a0
   - tk >=8.6.13,<8.7.0a0
   - tzdata
-  - xz >=5.2.6,<6.0a0
   license: Python-2.0
-  size: 33054218
-  timestamp: 1732736838043
+  size: 37226336
+  timestamp: 1765021889577
+  python_site_packages_path: lib/python3.13/site-packages
 - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.12-h3999593_0_cpython.conda
   sha256: dfeee761021f0a84ade2c38d60fe8506771e49f992063377094fba11002d15ef
   md5: 50be3ddc448ca63b24d145ebf9954877
@@ -29451,6 +29445,22 @@ packages:
   license_family: BSD
   size: 110051
   timestamp: 1733367480074
+- conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda
+  sha256: 24e1d43f26349ac8a4201e390996476fcd1b32d7ca946649db46468f6d54c0ea
+  md5: ed5f5e0cbc50f05631813b0d48021de1
+  depends:
+  - highspy
+  - networkx
+  - numpy >=1.11.0
+  - pandas >=0.18.1,<3.0
+  - pyomo >=6.4.3
+  - python >3.0
+  - scikit-learn >=0.0
+  - tqdm
+  license: MIT
+  license_family: MIT
+  size: 1700511
+  timestamp: 1722931441174
 - conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda
   sha256: 50d0a8492b45e26d6ac373086f1490916fc8a14346c51f617746931e2a1516ed
   md5: 2b661fd7a718757b2e91bbcac81deb48
@@ -30409,19 +30419,19 @@ packages:
   license_family: MIT
   size: 47179
   timestamp: 1727799254088
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.5-h5888daf_1.conda
-  sha256: 1b9141c027f9d84a9ee5eb642a0c19457c788182a5a73c5a9083860ac5c20a8c
-  md5: 5e2eb9bf77394fc2e5918beefec9f9ab
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.6-hecca717_0.conda
+  sha256: 3a9da41aac6dca9d3ff1b53ee18b9d314de88add76bafad9ca2287a494abcd86
+  md5: 93f5d4b5c17c8540479ad65f206fea51
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - libstdcxx >=13
-  - xorg-libx11 >=1.8.10,<2.0a0
+  - libgcc >=14
+  - libstdcxx >=14
+  - xorg-libx11 >=1.8.12,<2.0a0
   - xorg-libxext >=1.3.6,<2.0a0
   license: MIT
   license_family: MIT
-  size: 13891
-  timestamp: 1727908521531
+  size: 14818
+  timestamp: 1769432261050
 - conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxpm-3.5.17-h0e40799_1.conda
   sha256: a605b43b2622a4cae8df6edc148c02b527da4ea165ec67cabb5c9bc4f3f8ef13
   md5: e8b816fb37bc61aa3f1c08034331ef53
@@ -30500,18 +30510,18 @@ packages:
   license_family: MIT
   size: 32808
   timestamp: 1727964811275
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.6-hb9d3cd8_0.conda
-  sha256: 8a4e2ee642f884e6b78c20c0892b85dd9b2a6e64a6044e903297e616be6ca35b
-  md5: 5efa5fa6243a622445fdfd72aee15efa
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.7-hb03c661_0.conda
+  sha256: 64db17baaf36fa03ed8fae105e2e671a7383e22df4077486646f7dbf12842c9f
+  md5: 665d152b9c6e78da404086088077c844
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - xorg-libx11 >=1.8.10,<2.0a0
+  - libgcc >=14
+  - xorg-libx11 >=1.8.12,<2.0a0
   - xorg-libxext >=1.3.6,<2.0a0
   license: MIT
   license_family: MIT
-  size: 17819
-  timestamp: 1734214575628
+  size: 18701
+  timestamp: 1769434732453
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2025.1-hb03c661_0.conda
   sha256: 7a8c64938428c2bfd016359f9cb3c44f94acc256c6167dbdade9f2a1f5ca7a36
   md5: aa8d21be4b461ce612d8f5fb791decae

From 88acb83546e3b75219dd97b1f8eda94973a503ae Mon Sep 17 00:00:00 2001
From: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
Date: Mon, 26 Jan 2026 16:59:23 +0100
Subject: [PATCH 37/42]  code: Fix logic for extracting WDPA and WDPA marine
 (#2010)

* code: Fix logic for extracting bYYYY from filename

* doc: Add release notes

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 doc/release_notes.rst |  2 ++
 rules/retrieve.smk    | 12 ++++++++++++
 2 files changed, 14 insertions(+)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 0761d9d8c..64ad14502 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -170,6 +170,8 @@ Upcoming Release
 
 * Misc: Automatically update the DAGs shown in the documentation (https://github.com/PyPSA/pypsa-eur/pull/1880).
 
+* Fix: An issue with the download and extraction of WDPA and WDPA Marine data (https://github.com/PyPSA/pypsa-eur/issues/2005).
+
 PyPSA-Eur v2025.07.0 (11th July 2025)
 =====================================
 
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index 15c597e85..c5c244f2c 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -858,6 +858,12 @@ if (WDPA_DATASET := dataset_version("wdpa"))["source"] in [
             copy2(input["zip_file"], output["zip_file"])
             unpack_archive(output["zip_file"], output_folder)
 
+            # Extract {bYYYY} from the input file / URL
+            bYYYY = re.search(
+                r"WDPA_(\w{3}\d{4})_Public_shp.zip",
+                input["zip_file"],
+            ).group(1)
+
             for i in range(3):
                 # vsizip is special driver for directly working with zipped shapefiles in ogr2ogr
                 layer_path = (
@@ -889,6 +895,12 @@ if (WDPA_MARINE_DATASET := dataset_version("wdpa_marine"))["source"] in [
             copy2(input["zip_file"], output["zip_file"])
             unpack_archive(output["zip_file"], output_folder)
 
+            # Extract {bYYYY} from the input file / URL
+            bYYYY = re.search(
+                r"WDPA_WDOECM_(\w{3}\d{4})_Public_marine_shp.zip",
+                input["zip_file"],
+            ).group(1)
+
             for i in range(3):
                 # vsizip is special driver for directly working with zipped shapefiles in ogr2ogr
                 layer_path = f"/vsizip/{output_folder}/WDPA_WDOECM_{bYYYY}_Public_marine_shp_{i}.zip"

From 547e8e81fcac0d635ecad761e943cf3715919e9a Mon Sep 17 00:00:00 2001
From: Eric Nitschke <eric.nitschke@tuhh.de>
Date: Mon, 26 Jan 2026 18:49:08 +0100
Subject: [PATCH 38/42] Fix the WDPA links to function on Windows (#2008)

* Fix the WDPA links to function on Windows

Minor changes:
- replace the second : in the WDPA links with %3A

* add additional url fixes and schema check

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 data/versions.csv                | 8 ++++----
 doc/release_notes.rst            | 2 ++
 test/test_data_versions_layer.py | 9 ++++++++-
 3 files changed, 14 insertions(+), 5 deletions(-)

diff --git a/data/versions.csv b/data/versions.csv
index afd957a12..d7d953472 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -4,7 +4,7 @@ aquifer_data,v1.2,archive,latest supported,2026-01-13,,https://data.pypsa.org/wo
 attributed_ports,2020-07-10,primary,latest supported,2025-12-02,,https://datacatalogfiles.worldbank.org/ddh-published/0038118/1/DR0046414/attributed_ports.geojson
 attributed_ports,2020-07-10,archive,latest supported,2026-01-13,Moved from github repo `data/` folder,https://data.pypsa.org/workflows/eur/attributed_ports/2020-07-10/attributed_ports.json
 bfs_gdp_and_population,2019-03-28,primary,latest supported,2025-12-02,,https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master
-bfs_gdp_and_population,2019-03-28,archive,latest supported,2025-12-02,,https://web.archive.org/web/20250818151254if_/https://dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master
+bfs_gdp_and_population,2019-03-28,archive,latest supported,2025-12-02,,https://web.archive.org/web/20250818151254if_/https%3A//dam-api.bfs.admin.ch/hub/api/dam/assets/7786557/master
 bfs_road_vehicle_stock,unknown,primary,latest supported,2025-12-02,This dataset is not versioned and is updated regularly. The link points to the latest version. More information on the latest update on this website: https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html,https://datawrapper.dwcdn.net/31f3521eddfa82ada1a436983c31caf5/1/dataset.csv
 bfs_road_vehicle_stock,2024-03-13,archive,latest supported,2025-12-02,,https://raw.githubusercontent.com/PyPSA/pypsa-eur/5b5d308bf70f15dd0b107d8a19c121093dcdd5bd/data/gr-e-11.03.02.01.01-cc.csv
 bidding_zones_electricitymaps,v1.238.0,primary,latest supported,2026-01-22,,https://raw.githubusercontent.com/electricitymaps/electricitymaps-contrib/refs/tags/v1.238.0/web/geo/world.geojson
@@ -58,7 +58,7 @@ gem_gspt,march-2025-v1,primary,not-supported,2025-12-02,,https://globalenergymon
 gem_gspt,april-2024-v1,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/gem_gspt/april-2024-v1/Global-Steel-Plant-Tracker-April-2024-Standard-Copy-V1.xlsx
 geothermal_heat_utilisation_potentials,341.5,primary,latest supported,2025-12-02,,https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/11/Results_DH_Matching_Cluster.xlsx
 geothermal_heat_utilisation_potentials,341.5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/geothermal_heat_utilisation_potentials/341.5/Results_DH_Matching_Cluster.xlsx
-ghg_emissions,v23,primary,latest supported,2025-12-02,,https://web.archive.org/web/20200622130401if_/https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16/national-greenhouse-gas-inventories-ipcc-common-reporting-format-sector-classification/ascii-delimited-zip-2/at_download/file
+ghg_emissions,v23,primary,latest supported,2025-12-02,,https://web.archive.org/web/20200622130401if_/https%3A//www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16/national-greenhouse-gas-inventories-ipcc-common-reporting-format-sector-classification/ascii-delimited-zip-2/at_download/file
 ghg_emissions,v23,archive,latest supported,2026-01-13,earlier part of databundle,https://data.pypsa.org/workflows/eur/ghg_emissions/v23/UNFCCC_v23.csv
 h2_salt_caverns,16-10-2019,primary,latest supported,2025-12-02,,https://zenodo.org/records/16899309/files/h2_salt_caverns_GWh_per_sqkm.geojson
 h2_salt_caverns,16-10-2019,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/h2_salt_caverns/16-10-2019/h2_salt_caverns_GWh_per_sqkm.geojson
@@ -123,8 +123,8 @@ synthetic_electricity_demand,0.1.0,archive,deprecated might-work,2026-01-13,,htt
 tyndp,2024,primary,latest supported,2025-12-02,,https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs
 tyndp,2024,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/tyndp/2024
 wdpa,unknown,primary,latest supported,2025-12-02,"WDPA changes its URL every month, the URL here is used as a template and {bYYYY} is replaced inside the retrieve.smk.",https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_{bYYYY}_Public_shp.zip
-wdpa,2025-07,archive,latest supported,2025-12-02,"We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it.",https://web.archive.org/web/20250715071823if_/https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_Jul2025_Public_shp.zip
+wdpa,2025-07,archive,latest supported,2025-12-02,"We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it.",https://web.archive.org/web/20250715071823if_/https%3A//d1gam3xoknrgr2.cloudfront.net/current/WDPA_Jul2025_Public_shp.zip
 wdpa_marine,unknown,primary,latest supported,2025-12-02,"WDPA maritime changes its URL every month, the URL here is used as a template and {bYYYY} is replaced inside the retrieve.smk.",https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_{bYYYY}_Public_marine_shp.zip
-wdpa_marine,2025-07,archive,latest supported,2025-12-02,"We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it.",https://web.archive.org/web/20250715084308if_/https://d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_Jul2025_Public_marine_shp.zip
+wdpa_marine,2025-07,archive,latest supported,2025-12-02,"We are legally not allowed to redistribute this dataset, luckily the web archive is keeping copies of it.",https://web.archive.org/web/20250715084308if_/https%3A//d1gam3xoknrgr2.cloudfront.net/current/WDPA_WDOECM_Jul2025_Public_marine_shp.zip
 worldbank_urban_population,unknown,primary,latest might-work,2025-12-02,"This is the original World Bank API link, which is sometimes updated; it is not guaranteed to work with the current codebase and data changes without notice.",https://api.worldbank.org/v2/en/indicator/SP.URB.TOTL.IN.ZS?downloadformat=csv
 worldbank_urban_population,2025-08-14,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/worldbank_urban_population/2025-08-14/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2_22447.zip
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 64ad14502..552e9d150 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -170,6 +170,8 @@ Upcoming Release
 
 * Misc: Automatically update the DAGs shown in the documentation (https://github.com/PyPSA/pypsa-eur/pull/1880).
 
+* Fix the WDPA links to function on Windows (https://github.com/PyPSA/pypsa-eur/pull/2008).
+
 * Fix: An issue with the download and extraction of WDPA and WDPA Marine data (https://github.com/PyPSA/pypsa-eur/issues/2005).
 
 PyPSA-Eur v2025.07.0 (11th July 2025)
diff --git a/test/test_data_versions_layer.py b/test/test_data_versions_layer.py
index 3e54da904..982e5c90d 100644
--- a/test/test_data_versions_layer.py
+++ b/test/test_data_versions_layer.py
@@ -80,7 +80,14 @@ def sort_versions(df: pd.DataFrame) -> pd.DataFrame:
             default=date.today().isoformat(),
         ),
         "note": Column(str, nullable=True),
-        "url": Column(str, nullable=True),
+        "url": Column(
+            str,
+            Check.str_matches(
+                r'^(https?://[^:\s<>"|*]*)?$',
+                error='URL must start with http(s):// and not contain colons (use %3A), spaces, or Windows-invalid characters (<>"|*).',
+            ),
+            nullable=True,
+        ),
     },
     checks=[
         is_sorted,

From c3dcdb07edbdb9f277f5a2447dc777745242131b Mon Sep 17 00:00:00 2001
From: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Date: Wed, 28 Jan 2026 19:52:28 +0000
Subject: [PATCH 39/42] Fix `min/max_shore_distance` param access in
 availability matrix calc (#2020)

---
 doc/release_notes.rst                    | 2 ++
 scripts/determine_availability_matrix.py | 4 ++--
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 552e9d150..d109b44a1 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix `None` default config parameter from creating zero availability for offshore wind (#2019).
+
 * Remove snakemake's slurm plugin from windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
 
 * Added Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings optimized for large-scale linear programming problems.
diff --git a/scripts/determine_availability_matrix.py b/scripts/determine_availability_matrix.py
index b89de3f25..3b3262c5d 100644
--- a/scripts/determine_availability_matrix.py
+++ b/scripts/determine_availability_matrix.py
@@ -145,11 +145,11 @@
             snakemake.input.gebco, codes=func, crs=4326, nodata=-1000, invert=True
         )
 
-    if "min_shore_distance" in params:
+    if params.get("min_shore_distance") is not None:
         buffer = params["min_shore_distance"]
         excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)
 
-    if "max_shore_distance" in params:
+    if params.get("max_shore_distance") is not None:
         buffer = params["max_shore_distance"]
         excluder.add_geometry(
             snakemake.input.country_shapes, buffer=buffer, invert=True

From e87b0c644e6b9d863178b89cc0e3750b3b0b045b Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Thu, 29 Jan 2026 10:24:58 +0100
Subject: [PATCH 40/42] chore(deps): bump prefix-dev/setup-pixi in the
 github-actions group (#2021)

Bumps the github-actions group with 1 update: [prefix-dev/setup-pixi](https://github.com/prefix-dev/setup-pixi).


Updates `prefix-dev/setup-pixi` from 0.9.3 to 0.9.4
- [Release notes](https://github.com/prefix-dev/setup-pixi/releases)
- [Commits](https://github.com/prefix-dev/setup-pixi/compare/v0.9.3...v0.9.4)

---
updated-dependencies:
- dependency-name: prefix-dev/setup-pixi
  dependency-version: 0.9.4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/release.yaml         | 2 +-
 .github/workflows/test.yaml            | 4 ++--
 .github/workflows/update-lockfile.yaml | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 58a592b18..95f105b86 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -63,7 +63,7 @@ jobs:
         token: ${{ steps.generate-token.outputs.token }}
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.3
+      uses: prefix-dev/setup-pixi@v0.9.4
       with:
         pixi-version: v0.59.0
         cache: true
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 427cf546d..85ed088bd 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -30,7 +30,7 @@ jobs:
     - uses: actions/checkout@v6
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.3
+      uses: prefix-dev/setup-pixi@v0.9.4
       with:
         pixi-version: v0.59.0
         cache: true
@@ -87,7 +87,7 @@ jobs:
 
     - name: Setup Pixi
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
-      uses: prefix-dev/setup-pixi@v0.9.3
+      uses: prefix-dev/setup-pixi@v0.9.4
       with:
         pixi-version: v0.59.0
         cache: true
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 31d264773..56342220b 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -19,7 +19,7 @@ jobs:
     - uses: actions/checkout@v6
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.3
+      uses: prefix-dev/setup-pixi@v0.9.4
       with:
         pixi-version: v0.59.0
 

From c5d57a7d5d0c4fcf9a13ddbff46567ee9d540be8 Mon Sep 17 00:00:00 2001
From: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Date: Thu, 29 Jan 2026 11:47:37 +0100
Subject: [PATCH 41/42] Fix snakemake message for
 build_electricity/clean_osm_data (#2022)

* Fix snakemake message.

* Added release notes.
---
 doc/release_notes.rst       | 2 ++
 rules/build_electricity.smk | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index d109b44a1..550d61eca 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Fix wildcards error in `clean_osm_data` rule message introduced in github.com/PyPSA/pypsa-eur/pull/1846 by replacing `wildcards.country` with expanded `config["countries"]` list (https://github.com/PyPSA/pypsa-eur/pull/2022).
+
 * Fix `None` default config parameter from creating zero availability for offshore wind (#2019).
 
 * Remove snakemake's slurm plugin from windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index 6c16232db..fd2315b1d 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -842,7 +842,7 @@ if (
 
     rule clean_osm_data:
         message:
-            "Cleaning raw OSM data for {wildcards.country}"
+            "Cleaning raw OSM data for countries: " + ", ".join(config["countries"])
         input:
             cables_way=expand(
                 f"{OSM_DATASET['folder']}/{{country}}/cables_way.json",

From ee46d2ac49b5100910a5990a90e7ac030aede3bf Mon Sep 17 00:00:00 2001
From: Michael Lindner <michaellindner@posteo.de>
Date: Fri, 30 Jan 2026 15:00:52 +0100
Subject: [PATCH 42/42] adjust config to upstream changes

---
 config/config.de.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/config/config.de.yaml b/config/config.de.yaml
index f06ad6e69..14c2af903 100644
--- a/config/config.de.yaml
+++ b/config/config.de.yaml
@@ -417,6 +417,7 @@ solving:
   runtime: 12h
   mem_mb: 70000 #30000 is OK for 22 nodes, 365H; 140000 for 22 nodes 3H; 400000 for 44 nodes 3H
   options:
+    custom_extra_functionality: "../scripts/pypsa-de/additional_functionality.py"
     assign_all_duals: true
     load_shedding: false
     skip_iterations: true # settings for post-discretization: false