A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning. - Hongyang Lai; Zhuocheng Yang; Jinhao Li 001; Celimuge Wu; Wugedele Bao (MONAMI, 2021)

Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information. - Jinhao Li 001; Ruichang Zhang; Hao Wang 016; Zhi Liu; Hongyang Lai; Yanru Zhang (CoRR, 2021)

Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets. - Jinhao Li 001; Changlong Wang; Hao Wang 016 (CoRR, 2022)

Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. - Zhuo Wei; Frits de Nijs; Jinhao Li 001; Hao Wang 016 (e-Energy, 2023)

Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach. - Jinhao Li 001; Changlong Wang; Hao Wang 016 (CoRR, 2023)

Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning. - Jinhao Li 001; Yu Hui Yuan; Qiushi Cui; Hao Wang 016 (CoRR, 2023)

Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information. - Jinhao Li 001; Ruichang Zhang; Hao Wang 016; Zhi Liu; Hongyang Lai; Yanru Zhang (CoRR, 2024)

Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets. - Jinhao Li 001; Changlong Wang; Yanru Zhang; Hao Wang 016 (CoRR, 2024)

Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. - Jinhao Li 001; Changlong Wang; Hao Wang 016 (IEEE Trans. Ind. Informatics, 2024)