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.
☆31Updated 9 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 3 years ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆15Updated 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…☆15Updated 3 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
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆14Updated 2 years ago
- Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids☆28Updated 5 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆25Updated last year
- source code for the paper:A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch☆17Updated 2 years ago
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆31Updated 3 years ago
- RL for Energy Management of Microgrids☆10Updated 5 years ago
- Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.☆47Updated last year
- GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration☆23Updated last year
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆31Updated 2 years ago
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆12Updated 6 months ago
- Coordinating energy management for microgrid using reinforcement learning☆30Updated 2 years ago
- Source code for simulating a Home Energy Management System with Deep Reinforcement Learning☆31Updated 2 years ago
- This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under condit…☆57Updated 3 years ago
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆33Updated last year
- A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.☆87Updated 2 years ago
- This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity c…☆17Updated last year
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆159Updated 2 years ago
- EnergyQuantResearch / 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 …☆165Updated 2 years ago
- Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm☆60Updated 5 years ago
- Home Energy Management based on Deep Reinforcement Learning Approach.☆20Updated 4 years ago
- DRL-based ESSs scheduling environments in distribution networks.☆54Updated last month
- Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a nois…☆23Updated 3 years ago
- A state knowledge representation and learning framework for dynamic scheduling of integrated energy system☆10Updated 3 years ago
- Distributed RL Algorithms for Dynamic Energy Pricing in Microgrids☆18Updated 4 years ago
- wsyCUHK / Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-StationsReinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations☆156Updated 3 years ago
- Optimizing microgrid performance using reinforcement Learning☆46Updated 6 years ago