Grid2op / l2rpn-baselines
L2RPN Baselines a repository to host baselines for l2rpn competitions.
☆84Updated 4 months ago
Alternatives and similar repositories for l2rpn-baselines:
Users that are interested in l2rpn-baselines are comparing it to the libraries listed below
- CodaLab L2RPN: Learning to Run a Power Network☆62Updated 2 years ago
- Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codal…☆38Updated 5 years ago
- The official implementation of "Winning the L2RPN Challenge: Semi-Markov Afterstate Actor-Critic", ICLR 2021☆28Updated 2 years ago
- A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution ne…☆155Updated 5 months ago
- This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.☆52Updated 3 years ago
- This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Art…☆50Updated last year
- Repository for L2RPN WCCI 2020 competition. One possible solution.☆25Updated 4 years ago
- A power network simulator with a Reinforcement Learning-focused usage.☆115Updated 9 months ago
- LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-france/grid2op) platform.☆53Updated last week
- Grid2Op a testbed platform to model sequential decision making in power systems.☆340Updated last week
- The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition☆17Updated 4 years ago
- This repo contains the code of "Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic".☆26Updated 2 years ago
- An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)☆123Updated 3 years ago
- PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym…☆128Updated 2 years ago
- A Gym-like environment for Volt-Var control in power distribution systems.☆81Updated 2 years ago
- Contains the code of the 1st place submission to the 2022 Learning 2 Run a Power Network (L2RPN) Network Competition.☆25Updated 2 years ago
- ☆20Updated 3 months ago
- Delta project benchmarks☆29Updated 2 years ago
- Reinforcement learning for unit commitment☆59Updated 2 years ago
- This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).☆243Updated last month
- Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm☆47Updated 4 years ago
- python-microgrid is a python library to generate and simulate a large number of microgrids.☆78Updated 3 months ago
- A Reinforcement Learning-based Volt-VAR Control Dataset☆22Updated 3 years ago
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆25Updated 3 years ago
- Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship☆25Updated 5 months ago
- ☆64Updated 7 months ago
- Distributed RL Algorithms for Dynamic Energy Pricing in Microgrids☆17Updated 3 years ago
- Official implementation for the paper☆42Updated 9 months ago
- RL for Energy Management of Microgrids☆10Updated 5 years ago
- This repository contains the code to train the baseline agent provided in the 2022 edition of Learning to Run a Power Network and to recr…☆13Updated 2 years ago