Shuhui Li
Cited by
Cited by
Cyber security and privacy issues in smart grids
J Liu, Y Xiao, S Li, W Liang, CLP Chen
IEEE Communications Surveys & Tutorials 14 (4), 981-997, 2012
Optimal and direct-current vector control of direct-driven PMSG wind turbines
S Li, TA Haskew, RP Swatloski, W Gathings
IEEE Transactions on power electronics 27 (5), 2325-2337, 2012
Using neural networks to estimate wind turbine power generation
S Li, DC Wunsch, EA O'Hair, MG Giesselmann
IEEE Transactions on energy conversion 16 (3), 276-282, 2001
Conventional and novel control designs for direct driven PMSG wind turbines
S Li, TA Haskew, L Xu
Electric Power Systems Research 80 (3), 328-338, 2010
An Optimal and Learning-Based Demand Response and Home Energy Management System
D Zhang, S Li, M Sun, Z O'Neill
IEEE Transactions on Smart Grid, 2016
Control of DFIG wind turbine with direct-current vector control configuration
S Li, TA Haskew, KA Williams, RP Swatloski
IEEE Transactions on sustainable energy 3 (1), 1-11, 2012
Control of HVDC light system using conventional and direct current vector control approaches
S Li, TA Haskew, L Xu
IEEE Transactions on Power Electronics 25 (12), 3106-3118, 2010
Dynamic energy management of a microgrid using approximate dynamic programming and deep recurrent neural network learning
P Zeng, H Li, H He, S Li
IEEE Transactions on Smart Grid 10 (4), 4435-4445, 2018
Control of a Grid-Forming Inverter Based on Sliding-Mode and Mixed Control
Z Li, C Zang, P Zeng, H Yu, S Li, J Bian
IEEE Transactions on Industrial Electronics 64 (5), 3862-3872, 2017
Control of Single-Phase Grid-Connected Inverters with LCL Filters Using Recurrent Neural Network and Conventional Control Methods
X Fu, S Li
IEEE Transactions on Power Electronics, 2016
Artificial neural networks for control of a grid-connected rectifier/inverter under disturbance, dynamic and power converter switching conditions
S Li, M Fairbank, C Johnson, DC Wunsch, E Alonso, JL Proao
IEEE transactions on neural networks and learning systems 25 (4), 738-750, 2014
Comparative analysis of regression and artificial neural network models for wind turbine power curve estimation
S Li, DC Wunsch, E O’Hair, MG Giesselmann
Journal of Solar Energy Engineering 123 (4), 327-332, 2001
Study of battery modeling using mathematical and circuit oriented approaches
S Li, B Ke
2011 IEEE Power and Energy Society General Meeting, 1-8, 2011
Analysis of decoupled dq vector control in DFIG back-to-back PWM converter
S Li, TA Haskew
2007 IEEE Power Engineering Society General Meeting, 1-7, 2007
Integrating home energy simulation and dynamic electricity price for demand response study
S Li, D Zhang, AB Roget, Z O'Neill
IEEE Transactions On Smart Grid 5 (2), 779-788, 2014
Fully Distributed Hierarchical Control of Parallel Grid-Supporting Inverters in Islanded AC Microgrids
Z Li, C Zang, P Zeng, H Yu, S Li
IEEE Transactions on Industrial Informatics 14 (2), 679-690, 2018
Training recurrent neural networks with the Levenberg–Marquardt algorithm for optimal control of a grid-connected converter
X Fu, S Li, M Fairbank, DC Wunsch, E Alonso
IEEE transactions on neural networks and learning systems 26 (9), 1900-1912, 2014
Artificial Neural Network for Control and Grid Integration of Residential Solar Photovoltaic Systems
Y Sun, S Li, B Lin, X Fu, M Ramezani, I Jaithwa
IEEE Transactions on Sustainable Energy 8 (4), 1484-1495, 2017
Shading and bypass diode impacts to energy extraction of PV arrays under different converter configurations
H Zheng, S Li, R Challoo, J Proano
Renewable Energy 68, 58-66, 2014
Systems and methods for modeling energy consumption and creating demand response strategies using learning-based approaches
S Li, M Sun, D Zhang
US Patent 9,817,375, 2017
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