Forecasting Solar Power: Analysis of using a LSTM Neural Network
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Updated
Feb 7, 2020 - Jupyter Notebook
Forecasting Solar Power: Analysis of using a LSTM Neural Network
Parses electric utility companies (Cez)
Transmission Ratings and Operating Limits Information Exchange
ESB Networks PowerCheck Faults integration for Home Assistant
Carbon Intensity UK Sensor for Home Assistant - Forked from excellent original work by jscruz and changes from jfparis
Interactive European energy map viewer built with React, Vite, Deck.gl, and MapLibre.
Compute electricity spot market equilibrium with storage
Slides from my presentation at the Liberi Oltre event in Venice.
This Go library calls the Eco2mix API from RTE and returns data about the French electricity grid
Visualization of load factors on french grid
Electric grid city simulation game
A simple unofficial Electricity Maps API client
A collection of Jupyter Notebooks & helper scripts to enable the evaluation of Dublin electricity substation capacities given Small Area demands
This is the Open Source Repository for the Island Pulse energy gauge (islandpulse.org) which reports how much electricity the island of Oahu is using at any given time and where that energy comes from, whether it's wind, solar, or fossil fuels like coal and oil.
An educational application to predict the grid balance in Alberta. Capstone project for my Machine Learning and AI Bootcamp.
Simple carbon intensity API for the GB grid
This study proposes an unsupervised intrusion detection approach using time series analysis.
A modular open-source framework that converts public grid and weather data into globally deployable marginal emissions factors, providing reliable, time- and location-specific carbon impact insights in regions without access to detailed grid dispatch data.
This repo provides a simple, auditable dataset to support carbon-aware region selection.
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