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.
☆22Updated 6 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
- 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☆25Updated 4 years ago
- RL for Energy Management of Microgrids☆10Updated 5 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☆20Updated last year
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆30Updated 2 years ago
- A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.☆82Updated 2 years ago
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆10Updated 2 months ago
- 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 2 years ago
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆27Updated last year
- Coordinating energy management for microgrid using reinforcement learning☆28Updated last year
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆140Updated 2 years ago
- Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm☆57Updated 4 years ago
- Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a nois…☆20Updated 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
- Energy trading using DQN☆29Updated 5 years ago
- Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.☆38Updated last year
- 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 …☆149Updated 2 years ago
- Thesis based on the development of a RL agent that manages a VPP through EVs charging stations. Main optimization objectives of the VPP a…☆50Updated last year
- The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition☆18Updated 4 years ago
- DRL-based ESSs scheduling environments in distribution networks.☆43Updated 2 months ago
- Implementation of Q-Learning as Finite Markov Decision Process☆28Updated last year
- Source code for simulating a Home Energy Management System with Deep Reinforcement Learning☆24Updated 2 years ago
- TU-Delft-AI-Energy-Lab / MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-ResponseCode for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"☆38Updated 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…☆52Updated 3 years ago