| Reinforcement learning and its applications in modern power and energy systems: A review D Cao, W Hu, J Zhao, G Zhang, B Zhang, Z Liu, Z Chen, F Blaabjerg Journal of modern power systems and clean energy 8 (6), 1029-1042, 2020 | 367 | 2020 |
| Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach G Zhang, W Hu, D Cao, W Liu, R Huang, Q Huang, Z Chen, F Blaabjerg Energy conversion and management 227, 113608, 2021 | 107 | 2021 |
| Deep reinforcement learning-based approach for proportional resonance power system stabilizer to prevent ultra-low-frequency oscillations G Zhang, W Hu, D Cao, Q Huang, J Yi, Z Chen, F Blaabjerg IEEE Transactions on Smart Grid 11 (6), 5260-5272, 2020 | 107 | 2020 |
| An extended Kalman filter based SOC estimation method for Li-ion battery Z Cui, W Hu, G Zhang, Z Zhang, Z Chen Energy Reports 8, 81-87, 2022 | 68 | 2022 |
| A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and … G Zhang, W Hu, D Cao, Z Zhang, Q Huang, Z Chen, F Blaabjerg Energy Conversion and Management 255, 115340, 2022 | 64 | 2022 |
| A data-driven approach for designing STATCOM additional damping controller for wind farms G Zhang, W Hu, D Cao, J Yi, Q Huang, Z Liu, Z Chen, F Blaabjerg International Journal of Electrical Power & Energy Systems 117, 105620, 2020 | 61 | 2020 |
| A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration G Zhang, W Hu, D Cao, Q Huang, Z Chen, F Blaabjerg Renewable Energy 178, 363-376, 2021 | 37 | 2021 |
| A novel deep reinforcement learning enabled multi-band pss for multi-mode oscillation control G Zhang, W Hu, J Zhao, D Cao, Z Chen, F Blaabjerg IEEE Transactions on Power Systems 36 (4), 3794-3797, 2021 | 35 | 2021 |
| Mechanism analysis and real-time control of energy storage based grid power oscillation damping: A soft actor-critic approach T Li, W Hu, B Zhang, G Zhang, J Li, Z Chen, F Blaabjerg IEEE Transactions on Sustainable Energy 12 (4), 1915-1926, 2021 | 25 | 2021 |
| Meta-learning based voltage control for renewable energy integrated active distribution network against topology change Y Zhao, G Zhang, W Hu, Q Huang, Z Chen, F Blaabjerg IEEE Transactions on Power Systems, 2023 | 24 | 2023 |
| Deep reinforcement learning based parameter self-tuning control strategy for VSG K Xiong, W Hu, G Zhang, Z Zhang, Z Chen Energy Reports 8, 219-226, 2022 | 19 | 2022 |
| A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control Q Huang, W Hu, G Zhang, D Cao, Z Liu, Q Huang, Z Chen IET Renewable Power Generation 15 (16), 3941-3956, 2021 | 17 | 2021 |
| Meta-learning based voltage control strategy for emergency faults of active distribution networks Y Zhao, G Zhang, W Hu, Q Huang, Z Chen, F Blaabjerg Applied Energy 349, 121399, 2023 | 16 | 2023 |
| Coordinated volt/VAR control for photovoltaic inverters: a soft actor-critic enhanced droop control approach K Xiong, D Cao, G Zhang, Z Chen, W Hu International Journal of Electrical Power & Energy Systems 149, 109019, 2023 | 15 | 2023 |
| Artificial intelligence based approach to improve the frequency control in hybrid power system H Wang, G Zhang, W Hu, D Cao, J Li, S Xu, D Xu, Z Chen Energy Reports 6, 174-181, 2020 | 15 | 2020 |
| Coordinated energy management strategy for multi-energy hub with thermo-electrochemical effect based power-to-ammonia: A multi-agent deep reinforcement learning enabled approach K Xiong, W Hu, D Cao, S Li, G Zhang, W Liu, Q Huang, Z Chen Renewable Energy 214, 216-232, 2023 | 13 | 2023 |
| 基于深度强化学习的多能互补发电系统负荷频率控制策略 梁煜东， 陈峦， 张国洲， 任曼曼， 胡维昊 电工技术学报 37 (7), 1768-1779, 2022 | 12 | 2022 |
| Deep reinforcement learning based optimization strategy for hydro-governor PID parameters to suppress ULFO G Zhang, W Hu, D Cao, S Jing, Q Huang, Z Chen 2020 5th International Conference on Power and Renewable Energy (ICPRE), 446-450, 2020 | 11 | 2020 |
| A novel data-driven online model estimation method for renewable energy integrated power systems with random time delay Z Cui, W Hu, G Zhang, Q Huang, Z Chen, F Blaabjerg IEEE Transactions on Power Systems, 2023 | 10 | 2023 |
| A novel knowledge sharing method for rolling bearing fault detection against impact of different signal sampling frequencies J Chen, W Hu, G Zhang, J Hu, Q Huang, Z Chen, F Blaabjerg IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023 | 10 | 2023 |
Weihao HuProfessor and Director of Institute of Smart Power and Energy Systems (ISPES), UESTCVerificeret mail på uestc.edu.cn