18heweng666 / DDPG-GCN-for-bidding-strategyLinks
This project is the source code of paper "Optimizing bidding strategy in electricity market based on graph convolutional neural network and deep reinforcement learning" in Applied Energy 2025.
☆21Updated 5 months ago
Alternatives and similar repositories for DDPG-GCN-for-bidding-strategy
Users that are interested in DDPG-GCN-for-bidding-strategy are comparing it to the libraries listed below
Sorting:
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Updated 2 years ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆14Updated last year
- 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…☆14Updated 3 years ago
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆14Updated 2 years ago
- Implementations of DQN, DQN with PER, DDQN with PER, and DDDQN with PER agents to maximise reward in a 14 node power grid station☆20Updated 5 years ago
- Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids☆25Updated 4 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆22Updated last year
- GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration☆19Updated last year
- Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.☆37Updated last year
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…