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An open-source resource adequacy package for energy systems.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Tools for building power systems optimization problems
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
Examples of RL for the energy arbitrage use case.
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Reinforcement Learning Environments for Sustainable Energy Systems
PyTorch Tutorial for Deep Learning Researchers
A Python Package for Easy Access to MATPOWER Power System Simulation Package
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
Reliability Test System - Grid Modernization Lab Consortium
Prescient production cost modeling platform
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
Transportation Networks for Research
Case studies to demonstrate the use of ACN-Sim.
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
Python implementation of the conformal prediction framework.
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)
3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
KDD Cup 2022 spatial dynamic wind power forecast challenge solution.