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.
☆35Mar 17, 2025Updated 11 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:
- Data and codes for my paper Co-Optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-Time Frequency Regulation Servi…☆24May 2, 2025Updated 10 months ago
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆13Jul 9, 2025Updated 8 months ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆17Jan 15, 2022Updated 4 years ago
- Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C☆21Jul 27, 2020Updated 5 years ago
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Jun 22, 2022Updated 3 years ago
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆162Jun 8, 2023Updated 2 years ago
- This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis…☆45Oct 17, 2022Updated 3 years ago
- Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System☆11Dec 19, 2024Updated last year
- This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…☆34Jul 15, 2025Updated 7 months ago
- ☆10Dec 10, 2021Updated 4 years ago
- What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?☆38Jun 22, 2023Updated 2 years ago
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Oct 6, 2025Updated 5 months ago
- A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.☆87Feb 8, 2023Updated 3 years ago
- The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe …☆168Jun 8, 2023Updated 2 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation.☆11Feb 25, 2025Updated last year
- An HTTP client for the Rust AWS SDK that runs on Fastly Compute @ Edge☆10Nov 11, 2025Updated 3 months ago
- ☆20Feb 26, 2025Updated last year
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆15Feb 27, 2025Updated last year
- Improving scalability of RL algorithms using GNNs: A case study in optimal EV charging.☆25Oct 16, 2025Updated 4 months ago
- This operator will manage and configure data processing unit (DPUs) to be used in accelerating/offloading k8s networking functions☆12Feb 13, 2026Updated 3 weeks ago
- ☆10Jul 26, 2024Updated last year
- implementation of flexABLE market simulation model as an OOP☆11Nov 25, 2025Updated 3 months ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Jun 3, 2022Updated 3 years ago
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 5 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Jan 3, 2023Updated 3 years ago
- ☆11Jan 11, 2022Updated 4 years ago
- Protect workers with TensorFlow Hard Hat object detection model on a Jetson Nano☆10Sep 27, 2022Updated 3 years ago
- Multi-resource Dynamic Coordinated Planning of Flexible Distribution Network☆15Jun 11, 2024Updated last year
- Data and code for our IEEE Power Engineering Letters paper "Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Op…☆18Mar 15, 2025Updated 11 months ago
- This set of codes implements our TSG paper "Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery …☆11Feb 24, 2025Updated last year
- A state knowledge representation and learning framework for dynamic scheduling of integrated energy system☆10Oct 13, 2022Updated 3 years ago
- Cooperative Multi Agent Reinforcement Learning with Human in the Loop☆13Apr 25, 2023Updated 2 years ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Jul 7, 2022Updated 3 years ago
- Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…☆12Dec 6, 2021Updated 4 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Oct 8, 2021Updated 4 years ago
- Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.☆48Feb 24, 2024Updated 2 years ago