| A transactive energy framework for inverter-based HVAC loads in a real-time local electricity market considering distributed energy resources H Hui, P Siano, Y Ding, P Yu, Y Song, H Zhang, N Dai IEEE Transactions on Industrial Informatics 18 (12), 8409-8421, 2022 | 66 | 2022 |
| District cooling system control for providing operating reserve based on safe deep reinforcement learning P Yu, H Zhang, Y Song, H Hui, G Chen IEEE Transactions on Power Systems 39 (1), 40-52, 2023 | 37 | 2023 |
| Privacy-preserving regulation capacity evaluation for hvac systems in heterogeneous buildings based on federated learning and transfer learning Z Wang, P Yu, H Zhang IEEE Transactions on Smart Grid 14 (5), 3535-3549, 2022 | 23 | 2022 |
| District cooling system control for providing regulation services based on safe reinforcement learning with barrier functions P Yu, H Zhang, Y Song Applied Energy 347, 121396, 2023 | 12 | 2023 |
| Frequency regulation capacity offering of district cooling system: An intrinsic-motivated reinforcement learning method P Yu, H Zhang, Y Song, H Hui, C Huang IEEE Transactions on Smart Grid 14 (4), 2762-2773, 2022 | 9 | 2022 |
| Adversarial false data injection attacks on deep learning‐based short‐term wind speed forecasting L Yang, G Liang, Y Yang, J Ruan, P Yu, C Yang IET Renewable Power Generation 18 (7), 1370-1379, 2024 | 8 | 2024 |
| Regulation capacity evaluation of large-scale residential air conditioners for improving flexibility of urban power systems H Hui, P Yu, H Zhang, N Dai, W Jiang, Y Song International Journal of Electrical Power & Energy Systems 142, 108269, 2022 | 6 | 2022 |
| Safe reinforcement learning for power system control: A review P Yu, Z Wang, H Zhang, Y Song arXiv preprint arXiv:2407.00681, 2024 | 5 | 2024 |
| Adaptive Tie-Line Power Smoothing With Renewable Generation Based on Risk-Aware Reinforcement Learning P Yu, H Zhang, Y Song IEEE Transactions on Power Systems, 2024 | 4 | 2024 |
| Equivalent system model of district cooling system in frequency domain to provide primary frequency regulation P Yu, H Zhang, Y Song CSEE Journal of Power and Energy Systems, 2023 | 3 | 2023 |
| Wind Power Forecasting: LSTM-Combined Deep Reinforcement Learning Approach Y Wang, X Lin, Z Tan, Y Liu, Z Song, L Yu, P Yu 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | 1 | 2023 |
| Smoothing Tie-line Power for Microgrids by Controlling District Cooling System Based on Soft Actor-Critic Reinforcement Learning P Yu, H Zhang, Y Song 2022 IEEE 6th Conference on Energy Internet and Energy System Integration …, 2022 | 1 | 2022 |
| Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning P Yu, H Zhang, Z Hu, Y Song Applied Energy 377, 124415, 2025 | | 2025 |
| Safe dynamic optimization of automatic generation control via imitation-based reinforcement learning Z Zhang, Y Wu, Z Hao, M Song, P Yu Frontiers in Energy Research 12, 1464151, 2024 | | 2024 |
| Frequency Regulation Capacity Offering of District Cooling System Based on Reinforcement Learning P Yu, H Hui, H Zhang, C Huang, Y Song 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | | 2022 |
| Regulation Capacity Evaluation of Large-scale Heterogeneous Residential Air Conditioning Loads H Hui, P Yu, H Zhang, N Dai, W Jiang, Y Song 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2505-2510, 2021 | | 2021 |
| Real-time Control of Thermal Energy Storage in District Cooling Systems by Curiosity-driven Reinforcement Learning Z Zhang, Y Wu, Z Hao, M Song, P Yu Frontiers in Energy Research 12, 1465698, 0 | | |
Hongcai ZhangUniversity of MacauVerified email at um.edu.mo