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Mengfan Zhang
Mengfan Zhang
在 kth.se 的电子邮件经过验证
标题
引用次数
引用次数
年份
Decentralized coordination and stabilization of hybrid energy storage systems in DC microgrids
M Zhang, Q Xu, C Zhang, L Nordström, F Blaabjerg
IEEE transactions on Smart Grid 13 (3), 1751-1761, 2022
582022
Artificial neural network based identification of multi-operating-point impedance model
M Zhang, X Wang, D Yang, MG Christensen
IEEE Transactions on Power Electronics 36 (2), 1231-1235, 2020
582020
Physics-informed neural network based online impedance identification of voltage source converters
M Zhang, Q Xu, X Wang
IEEE Transactions on Industrial Electronics 70 (4), 3717-3728, 2022
302022
Transfer learning for identifying impedance estimation in voltage source inverters
M Zhang, X Wang, D Yang, Z Cui, MG Christensen
2020 IEEE energy conversion congress and exposition (ECCE), 6170-6174, 2020
142020
Review of online learning for control and diagnostics of power converters and drives: Algorithms, implementations and applications
M Zhang, PI Gómez, Q Xu, T Dragicevic
Renewable and Sustainable Energy Reviews, 113627, 2023
112023
Transfer learning based online impedance identification for modular multilevel converters
M Zhang, Y Zhang, Q Xu
IEEE Transactions on Power Electronics, 2023
92023
Data-driven modeling of power-electronics-based power system considering the operating point variation
M Zhang, X Wang, Q Xu
2021 IEEE energy conversion congress and exposition (ECCE), 3513-3517, 2021
82021
CNN and LSTM based Data-driven Cyberattack Detection for Grid-connected PV Inverter
J Mao, M Zhang, Q Xu
2022 IEEE 17th International Conference on Control & Automation (ICCA), 704-709, 2022
72022
Safe multi-agent deep reinforcement learning for real-time decentralized control of inverter based renewable energy resources considering communication delay
G Guo, M Zhang, Y Gong, Q Xu
Applied Energy 349, 121648, 2023
62023
Multi-agent deep reinforcement learning for decentralized voltage-var control in distribution power system
M Zhang, Q Xu, S Magnússon, RCN Pilawa-Podgurski, G Guo
2022 IEEE energy conversion congress and exposition (ECCE), 1-5, 2022
62022
Dnn assisted projection based deep reinforcement learning for safe control of distribution grids
M Zhang, G Guo, T Zhao, Q Xu
IEEE Transactions on Power Systems, 2023
42023
Pre-and post-task resting-state differs in clinical populations
CS Lor, M Zhang, A Karner, D Steyrl, R Sladky, F Scharnowski, A Haugg
NeuroImage: Clinical 37, 103345, 2023
42023
Data driven decentralized control of inverter based renewable energy sources using safe guaranteed multi-agent deep reinforcement learning
M Zhang, G Guo, S Magnússon, RCN Pilawa-Podgurski, Q Xu
IEEE Transactions on Sustainable Energy, 2023
32023
Dynamic power allocation control for frequency regulation using hybrid electrolyzer systems
M Agredano-Torres, Q Xu, M Zhang, L Söder, A Cornell
2023 IEEE Applied Power Electronics Conference and Exposition (APEC), 2991-2998, 2023
32023
An Online Digital Twin based Health Monitoring Method for Boost Converter using Neural Network
Y Lu, M Zhang, L Nordström, Q Xu
2023 IEEE Energy Conversion Congress and Exposition (ECCE), 3701-3706, 2023
22023
An MPC based power management method for renewable energy hydrogen based DC microgrids
M Zhang, Q Xu
2023 IEEE applied power electronics conference and exposition (APEC), 577-581, 2023
22023
Decentralized Active Disturbance Rejection Control for Hybrid Energy Storage System in DC Microgrid
Z Li, B Wang, L Xian, M Zhang, Q Xu
IEEE Transactions on Industrial Electronics, 2024
12024
Higher Order Sliding Mode Observer Based Fast Composite Backstepping Control for HESS in DC Microgrids
B Wang, Z Li, H Fan, X Wan, L Xian, M Zhang, Q Xu
IEEE Transactions on Sustainable Energy, 2024
12024
Decentralized Dynamic Power Sharing Control for Frequency Regulation Using Hybrid Hydrogen Electrolyzer Systems
M Agredano-Torres, M Zhang, L Söder, Q Xu
IEEE Transactions on Sustainable Energy, 2024
2024
Deep Neural Network-Based Stability Region Estimation for Grid-Converter Interaction Systems
M Zhang, Q Xu
IEEE Transactions on Industrial Electronics, 2024
2024
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