Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets.
IEEE Trans. Ind. Informatics, May, 2024
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets.
CoRR, 2024
Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information.
CoRR, 2024
Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning.
CoRR, 2023
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach.
CoRR, 2023
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets.
CoRR, 2022
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information.
CoRR, 2021
A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning.
Proceedings of the Mobile Networks and Management - 11th EAI International Conference, 2021