| 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 | 364 | 2020 |
| Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system X Xu, W Hu, D Cao, Q Huang, C Chen, Z Chen Renewable Energy 147, 1418-1431, 2020 | 310 | 2020 |
| A multi-agent deep reinforcement learning based voltage regulation using coordinated PV inverters D Cao, W Hu, J Zhao, Q Huang, Z Chen, F Blaabjerg IEEE Transactions on Power Systems 35 (5), 4120-4123, 2020 | 232 | 2020 |
| Data-driven multi-agent deep reinforcement learning for distribution system decentralized voltage control with high penetration of PVs D Cao, J Zhao, W Hu, F Ding, Q Huang, Z Chen, F Blaabjerg IEEE Transactions on Smart Grid 12 (5), 4137-4150, 2021 | 149 | 2021 |
| Deep reinforcement learning–based approach for optimizing energy conversion in integrated electrical and heating system with renewable energy B Zhang, W Hu, D Cao, Q Huang, Z Chen, F Blaabjerg Energy conversion and management 202, 112199, 2019 | 132 | 2019 |
| Electric vehicle charging management based on deep reinforcement learning S Li, W Hu, D Cao, T Dragičević, Q Huang, Z Chen, F Blaabjerg Journal of Modern Power Systems and Clean Energy 10 (3), 719-730, 2021 | 125 | 2021 |
| Dynamic energy conversion and management strategy for an integrated electricity and natural gas system with renewable energy: Deep reinforcement learning approach B Zhang, W Hu, J Li, D Cao, R Huang, Q Huang, Z Chen, F Blaabjerg Energy conversion and management 220, 113063, 2020 | 120 | 2020 |
| Attention enabled multi-agent DRL for decentralized volt-VAR control of active distribution system using PV inverters and SVCs D Cao, J Zhao, W Hu, F Ding, Q Huang, Z Chen IEEE transactions on sustainable energy 12 (3), 1582-1592, 2021 | 118 | 2021 |
| Optimal operational strategy for an offgrid hybrid hydrogen/electricity refueling station powered by solar photovoltaics X Xu, W Hu, D Cao, Q Huang, W Liu, MZ Jacobson, Z Chen Journal of Power Sources 451, 227810, 2020 | 115 | 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 |
| Deep reinforcement learning enabled physical-model-free two-timescale voltage control method for active distribution systems D Cao, J Zhao, W Hu, N Yu, F Ding, Q Huang, Z Chen IEEE Transactions on Smart Grid 13 (1), 149-165, 2021 | 104 | 2021 |
| Soft actor-critic–based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy B Zhang, W Hu, D Cao, T Li, Z Zhang, Z Chen, F Blaabjerg Energy Conversion and Management 243, 114381, 2021 | 102 | 2021 |
| Deep reinforcement learning based approach for optimal power flow of distribution networks embedded with renewable energy and storage devices D Cao, W Hu, X Xu, Q Wu, Q Huang, Z Chen, F Blaabjerg Journal of Modern Power Systems and Clean Energy 9 (5), 1101-1110, 2021 | 86 | 2021 |
| A meta-learning method for electric machine bearing fault diagnosis under varying working conditions with limited data J Chen, W Hu, D Cao, Z Zhang, Z Chen, F Blaabjerg IEEE Transactions on Industrial Informatics 19 (3), 2552-2564, 2022 | 83 | 2022 |
| Bidding strategy for trading wind energy and purchasing reserve of wind power producer–A DRL based approach D Cao, W Hu, X Xu, T Dragičević, Q Huang, Z Liu, Z Chen, F Blaabjerg International Journal of Electrical Power & Energy Systems 117, 105648, 2020 | 82 | 2020 |
| Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning D Cao, J Zhao, W Hu, F Ding, N Yu, Q Huang, Z Chen Applied Energy 306, 117982, 2022 | 69 | 2022 |
| Artificial intelligence-aided minimum reactive power control for the DAB converter based on harmonic analysis method Y Tang, W Hu, D Cao, N Hou, Y Li, Z Chen, F Blaabjerg IEEE Transactions on Power Electronics 36 (9), 9704-9710, 2021 | 68 | 2021 |
| Scheduling of wind-battery hybrid system in the electricity market using distributionally robust optimization X Xu, W Hu, D Cao, Q Huang, Z Liu, W Liu, Z Chen, F Blaabjerg Renewable Energy 156, 47-56, 2020 | 65 | 2020 |
| 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 | 63 | 2022 |
Weihao HuProfessor and Director of Institute of Smart Power and Energy Systems (ISPES), UESTCuestc.edu.cn의 이메일 확인됨