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 | 327 | 2011 |
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 | 243 | 2017 |
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 | 194 | 2019 |
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 | 159 | 2017 |
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 | 153 | 2018 |
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 | 152 | 2019 |
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 | 150 | 2018 |
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 | 145 | 2019 |
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 | 140 | 2011 |
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 | 138 | 2009 |
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 | 137 | 2016 |
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 | 135 | 2015 |
A novel chaotic particle swarm optimization based fuzzy clustering algorithm C Li, J Zhou, P Kou, J Xiao Neurocomputing 83, 98-109, 2012 | 130 | 2012 |
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 | 122 | 2017 |
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 | 112 | 2021 |
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 | 111 | 2012 |
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 | 109 | 2016 |
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 | 86 | 2017 |
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 | 85 | 2019 |
Multi-objective complementary scheduling of hydro-thermal-RE power system via a multi-objective hybrid grey wolf optimizer C Li, W Wang, D Chen Energy 171, 241-255, 2019 | 84 | 2019 |