NREL / PowerGridworld
PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969
☆110Updated last year
Related projects ⓘ
Alternatives and complementary repositories for PowerGridworld
- This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).☆201Updated 7 months ago
- A Gym-like environment for Volt-Var control in power distribution systems.☆72Updated 2 years ago
- An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)☆111Updated 2 years ago
- Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.☆139Updated last week
- Repository for L2RPN WCCI 2020 competition. One possible solution.☆24Updated 3 years ago
- A Reinforcement Learning-based Volt-VAR Control Dataset☆19Updated 2 years ago
- ShengrenHou / Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-LearningThe Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe …☆85Updated last year
- CodaLab L2RPN: Learning to Run a Power Network☆62Updated last year
- Official implementation for the paper☆33Updated 3 months ago
- This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.☆48Updated 3 years ago
- The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition☆17Updated 3 years ago
- Multi-agent reinforcement learning for privacy-preserving, scalable residential energy flexibility coordination☆24Updated last year
- Reinforcement learning for unit commitment☆51Updated 2 years ago
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆99Updated last year
- L2RPN Baselines a repository to host baselines for l2rpn competitions.☆81Updated this week
- Deep reinforcement learning approaches for CHP system economic dispatch☆76Updated 4 years ago
- This repo contains the code of "Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic".☆22Updated 2 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆28Updated 7 months ago
- Source code for simulating a Home Energy Management System with Deep Reinforcement Learning☆16Updated last year
- This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforce…☆28Updated 2 years ago
- The official implementation of "Winning the L2RPN Challenge: Semi-Markov Afterstate Actor-Critic", ICLR 2021☆29Updated 2 years ago
- We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We pr…☆183Updated last year
- Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.☆25Updated 2 years ago
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆20Updated last year
- A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.☆63Updated last year
- Coordinating energy management for microgrid using reinforcement learning☆17Updated 9 months ago
- Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codal…☆34Updated 5 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…☆46Updated last year
- Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship☆25Updated 3 years ago
- Implementation of Research paper, Deep reinforcement learning based framework for energy optimization and thermal comfort control in smar…☆20Updated 3 years ago