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Weihao Hu
Weihao Hu
Professor and Director of Institute of Smart Power and Energy Systems (ISPES), UESTC
Verified email at uestc.edu.cn
Title
Cited by
Cited by
Year
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
2532020
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
2492020
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
1752020
Optimizing investments in coupled offshore wind-electrolytic hydrogen storage systems in Denmark
P Hou, P Enevoldsen, J Eichman, W Hu, MZ Jacobson, Z Chen
Journal of Power Sources 359, 186-197, 2017
1732017
Optimized placement of wind turbines in large-scale offshore wind farm using particle swarm optimization algorithm
P Hou, W Hu, M Soltani, Z Chen
IEEE Transactions on Sustainable Energy 6 (4), 1272-1282, 2015
1732015
A heuristic planning reinforcement learning-based energy management for power-split plug-in hybrid electric vehicles
T Liu, X Hu, W Hu, Y Zou
IEEE Transactions on Industrial Informatics 15 (12), 6436-6445, 2019
1692019
Optimal operation of plug-in electric vehicles in power systems with high wind power penetrations
W Hu, C Su, Z Chen, B Bak-Jensen
IEEE Transactions on Sustainable Energy 4 (3), 577-585, 2013
1672013
Investigation of wind speed cooling effect on PV panels in windy locations
N Gökmen, W Hu, P Hou, Z Chen, D Sera, S Spataru
Renewable Energy 90, 283-290, 2016
1642016
Flicker mitigation by active power control of variable-speed wind turbines with full-scale back-to-back power converters
W Hu, Z Chen, Y Wang, Z Wang
IEEE Transactions on Energy Conversion 24 (3), 640-649, 2009
1622009
Optimal operation strategy of battery energy storage system to real-time electricity price in Denmark
W Hu, Z Chen, B Bak-Jensen
IEEE PES general meeting, 1-7, 2010
1522010
A novel hybrid short-term load forecasting method of smart grid using MLR and LSTM neural network
J Li, D Deng, J Zhao, D Cai, W Hu, M Zhang, Q Huang
IEEE Transactions on Industrial Informatics 17 (4), 2443-2452, 2020
1482020
A review of offshore wind farm layout optimization and electrical system design methods
P Hou, J Zhu, K Ma, G Yang, W Hu, Z Chen
Journal of Modern Power Systems and Clean Energy 7 (5), 975-986, 2019
1172019
Electric vehicles and large-scale integration of wind power–The case of Inner Mongolia in China
W Liu, W Hu, H Lund, Z Chen
Applied energy 104, 445-456, 2013
1062013
Combined optimization for offshore wind turbine micro siting
P Hou, W Hu, M Soltani, C Chen, Z Chen
Applied energy 189, 271-282, 2017
1052017
A reactive power dispatch strategy with loss minimization for a DFIG-based wind farm
B Zhang, P Hou, W Hu, M Soltani, C Chen, Z Chen
IEEE transactions on sustainable energy 7 (3), 914-923, 2016
1052016
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
1042019
Comprehensive cost minimization in distribution networks using segmented-time feeder reconfiguration and reactive power control of distributed generators
S Chen, W Hu, Z Chen
IEEE Transactions on Power Systems 31 (2), 983-993, 2015
992015
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
982021
Flicker mitigation by individual pitch control of variable speed wind turbines with DFIG
Y Zhang, Z Chen, W Hu, M Cheng
IEEE Transactions on Energy Conversion 29 (1), 20-28, 2014
952014
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
912020
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