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Chaoshun Li
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引用次数
引用次数
年份
Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm
C Li, J Zhou
Energy Conversion and Management 52 (1), 374-381, 2011
3252011
A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting
C Zhang, J Zhou, C Li, W Fu, T Peng
Energy Conversion and Management 143, 360-376, 2017
2502017
Short-term wind speed interval prediction based on ensemble GRU model
C Li, G Tang, X Xue, A Saeed, X Hu
IEEE transactions on sustainable energy 11 (3), 1370-1380, 2019
2072019
Load frequency control of a novel renewable energy integrated micro-grid containing pumped hydropower energy storage
Y Xu, C Li, Z Wang, N Zhang, B Peng
Ieee Access 6, 29067-29077, 2018
1632018
Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation
C Li, N Zhang, X Lai, J Zhou, Y Xu
Information Sciences 396, 162-181, 2017
1632017
Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
W Fu, K Wang, C Li, J Tan
Energy Conversion and Management 187, 356-377, 2019
1552019
A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting
C Li, Z Xiao, X Xia, W Zou, C Zhang
Applied Energy 215, 131-144, 2018
1522018
Deep learning method based on gated recurrent unit and variational mode decomposition for short-term wind power interval prediction
R Wang, C Li, W Fu, G Tang
IEEE transactions on neural networks and learning systems 31 (10), 3814-3827, 2019
1492019
T–S fuzzy model identification with a gravitational search-based hyperplane clustering algorithm
C Li, J Zhou, B Fu, P Kou, J Xiao
IEEE Transactions on Fuzzy Systems 20 (2), 305-317, 2011
1432011
An adaptively fast fuzzy fractional order PID control for pumped storage hydro unit using improved gravitational search algorithm
Y Xu, J Zhou, X Xue, W Fu, W Zhu, C Li
Energy Conversion and Management 111, 67-78, 2016
1402016
T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm
C Li, J Zhou, X Xiang, Q Li, X An
Engineering Applications of Artificial Intelligence 22 (4-5), 646-653, 2009
1382009
An adaptively fast ensemble empirical mode decomposition method and its applications to rolling element bearing fault diagnosis
X Xue, J Zhou, Y Xu, W Zhu, C Li
Mechanical Systems and Signal Processing 62, 444-459, 2015
1372015
A novel chaotic particle swarm optimization based fuzzy clustering algorithm
C Li, J Zhou, P Kou, J Xiao
Neurocomputing 83, 98-109, 2012
1352012
Study on unit commitment problem considering pumped storage and renewable energy via a novel binary artificial sheep algorithm
W Wang, C Li, X Liao, H Qin
Applied Energy 187, 612-626, 2017
1252017
Temporal convolutional networks interval prediction model for wind speed forecasting
Z Gan, C Li, J Zhou, G Tang
Electric Power Systems Research 191, 106865, 2021
1202021
Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings
M Luo, C Li, X Zhang, R Li, X An
Isa Transactions 65, 556-566, 2016
1132016
Parameters identification of chaotic system by chaotic gravitational search algorithm
C Li, J Zhou, J Xiao, H Xiao
Chaos, Solitons & Fractals 45 (4), 539-547, 2012
1122012
Design of a fuzzy-PID controller for a nonlinear hydraulic turbine governing system by using a novel gravitational search algorithm based on Cauchy mutation and mass weighting
C Li, Y Mao, J Zhou, N Zhang, X An
Applied Soft Computing 52, 290-305, 2017
872017
An improved mixed integer linear programming approach based on symmetry diminishing for unit commitment of hybrid power system
B Fu, C Ouyang, C Li, J Wang, E Gul
Energies 12 (5), 833, 2019
862019
Adaptive condition predictive-fuzzy PID optimal control of start-up process for pumped storage unit at low head area
Y Xu, Y Zheng, Y Du, W Yang, X Peng, C Li
Energy Conversion and Management 177, 592-604, 2018
852018
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