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Macro allows you to optimize the design and operations of large multi-sector energy systems.
We empower individuals, communities and nations around the world to map the electrical grid.
Track emissions from Compute and recommend ways to reduce their impact on the environment.
LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration
2026 AI/ML internship & new graduate job list updated daily
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Measure and optimize the energy consumption of your AI applications!
❓Curie: Automated and Rigorous Scientific Experimentation with AI Agents
A curated collection of resources on hourly or sub-hourly electricity demand.
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
Retrieve historic electricity demand data and generate synthetic future demand predictions using our ML model
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.
List of ML conferences with important dates and accepted paper list
Source code for ClimateLearn
Tutorials of the GenX package.
Welcome to GitHub's Green Software Directory!
Standard costing tool for fusion based on IAEA 2001 and GenIV 2007 cost accounts, entailing Magnetic Fusion Energy, Magneto Inertial Fusion and Inertial Fusion Energy.
This repository provides single-phase models for IEEE 13-bus, IEEE 37-bus, and IEEE 123-bus distribution networks and calculates the load-flow via the Z-Bus method. It further demonstrates that the…
A curated list of resources in the field of electric grid mapping to improve global open data coverage, harmonization and quality for a sustainable energy transition.
GenAI for Optimization and Decision Intelligence
Holistic Optimization Program for Electricity