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Weihao Hu
Weihao Hu
Professor and Director of Institute of Smart Power and Energy Systems (ISPES), UESTC
Verificeret mail på uestc.edu.cn
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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
2472020
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
2392020
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
1712020
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
1702015
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
1692017
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
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
1662019
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
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
1612016
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
1402020
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
1132019
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
1052013
Combined optimization for offshore wind turbine micro siting
P Hou, W Hu, M Soltani, C Chen, Z Chen
Applied energy 189, 271-282, 2017
1042017
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
1042016
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
1032019
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
982015
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
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
942021
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
892020
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Artikler 1–20