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[1] Chaoshun Li*, Geng Tang. Short-term Wind Speed Interval Prediction based on Ensemble GRU model. IEEE Transactions on Sustainable Energy, 2019, doi:10.1109/TSTE.2019.2926147. (一区)
[2] Jinjiao Hou, Chaoshun Li*, Wencheng Guo*, et al. Optimal successive start-up strategy of two hydraulic coupling pumped storage units based on multi-objective control. International Journal of Electrical Power and Energy Systems, 2019, 111:398-410. (二区)
[3] Wen Zou, Chaoshun Li*, Pengfei Chen. An Inter Type-2 FCR Algorithm Based T-S Fuzzy Model for Short-term Wind Power Interval Prediction. IEEE Transactions on Industrial Informatics, 2019, doi:10.1109/TII.2019.2910606. (一区)
[4] Wenlong Fu*, Kai Wang, Chaoshun Li*, Jiawen Tan. Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM. Energy Conversion and Management, 2019, 187:356-377. (一区)
[5] Chen Feng, Li Chang*, Chaoshun Li*, Tan Ding， Zijun Mai. Controller Optimization Approach Using LSTM-Based Identification Model for Pumped-Storage Units. IEEE Access, 2019, 7: 32714 - 32727. (二区)
[6] Bo Fu, Chenxi Ouyang, Chaoshun Li*, Jinwen Wang, Eid Gul. An improved mixed integer linear programming approach based on symmetry diminishing for unit commitment of hybrid power system. Energies, 2019, 12(5), 833; doi: 10.3390/en12050833.（三区）
[7] Chu Zhang, Tian Peng*, Chaoshun Li*, Wenlong Fu, Xin Xia, Xiaoming Xue. Multi-objective optimization of a fractional order PID controller for pumped turbine governing system using an improved NSGA-III algorithm under multi-working conditions. Complexity, 2019, 5826873.（二区）
[8] Xinjie Lai, Chaoshun Li*, Jianzhong Zhou, Nan Zhang. Multi-objective optimization for guide vane shutting based on MOASA. Renewable Energy, 2019, 139:302-312.（二区）
[9] Xiaoming Xue, Chaoshun Li*, Suqun Cao, Jinchao Sun, Liyan Liu. Fault diagnosis of rolling element bearings with a two-step scheme based on permutation entropy and random forests. Entropy 2019, 21(1), 96; https://doi.org/10.3390/e21010096.
[10] Chaoshun Li*, Wenxiao Wang, Deshu Chen. Multi-objective complementary scheduling of Hydro-Thermal-RE power system via a multi-objective hybrid grey wolf optimizer. Energy, 2019, 171: 241-255.（二区）
[11] Wenlong Fu*, Kai Wang, Chaoshun Li*, Xiong Li, Yuehua Li, Hao Zhong. Vibration Trend measurement for Hydropower Generator Based on Optimal Variational Mode Decomposition and LSSVM Improved with Chaotic Sine Cosine Algorithm Optimization. Measurement Science and Technology, 2019, 30(1): 015012.
2018年
[12] Chu Zhang*, Chaoshun Li*, Tian Peng, Xin Xia, Xiaoming Xue, Wenlong Fu, Jianzhong Zhou. Modelling and synchronous optimization of pump turbine governing system using sparse robust least squares support vector machine and hybrid backtracking search algorithm. Energies, 2018, 11(11), 3108; https://doi.org/10.3390/en11113108.
[13] Yanhe Xu*, Yang Zheng*, Yi Du, Wen Yang, Xuyi Peng, Chaoshun Li*. Adaptive condition predictive-fuzzy PID optimal control of start-up process for pumped storage unit at low head area, Energy Conversion and Management, 2018, 177: 592-604. （一区）
[14] Tan Ding, Li Chang, Chaoshun Li*, Chen Feng, Nan Zhang. A mixed-strategy based whale optimization algorithm for parameter identification of hydraulic turbine governing system with a delay water hammer effect, Energies, 2018, 11(9), 2367; https://doi.org/10.3390/en11092367.
[15] Wenlong Fu*, Jiawen Tan, Chaoshun Li*, Zubing Zou, Qiankun Li, Tie Chen. A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-based Feature Extraction and SVM Optimized by Chaos Quantum Sine Cosine Algorithm. Entropy, 2018, 20(9), 626; https://doi.org/10.3390/e20090626. （三区）
[16]Jinjiao Hou, Chaoshun Li*, Ziqin Tian, Yanhe Xu*, Xinjie Lai, Nan Zhang, Taoping Zheng and Wei Wu. Multi-Objective Optimization of Start-up Strategy for Pumped Storage Units. Energies 2018, 11(5), 1141; https://doi.org/10.3390/en11051141. （三区）
[17]Yanhe Xu, Chaoshun Li*, Zanbin Wang, Nan Zhang, Bing Peng. Load frequency control of a novel renewable energy integrated micro-grid containing pumped hydropower energy storage. IEEE Access, 2018, 6: 29067-29077. （二区）
[18] Chaoshun Li*, Zhengguang Xiao, Xin Xia*, Wen Zou, Chu Zhang. A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting. Applied Energy, 2018,215:131–144. （ 入选ESI高引）（一区）
[19] Xinjie Lai, Chaoshun Li*, Jianzhong Zhou. A Multi-objective Artificial Sheep Algorithm. Neural Comput & Applic, 2018, doi:10.1007/s00521-018-3348-x. （二区）
[20] Zanbin Wang, Chaoshun Li*, Xinjie Lai, Nan Zhang, Yanhe Xu*, Jinjiao Hou. An integrated start-up method for pumped storage units based on a novel artificial sheep algorithm. Energies, 2018, 11(1), 151; doi:10.3390/en11010151. （入选ESI高引）
[21] Chaoshun Li*, Wen Zou, Nan Zhang, et al. An evolving T-S fuzzy model identification approach based on a special membership function and its application on pump-turbine governing system. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2018, 69: 93-103. （二区）
[22] Zou W, Li C*, Zhang N. A T-S Fuzzy Model Identification Approach based on a Modified Inter Type-2 FRCM Algorithm. IEEE Transactions on Fuzzy Systems, 2018, 26(3): 1104 – 1113. （一区）
2017年
[23] Ruhai Li, Chaoshun Li*. Electromagnetic Vibration Simulation of a 250-MW Large Hydropower Generator with Rotor Eccentricity and Rotor Deformation. Energies, 2017, 10(12), 2155.
[24] Xin Xia, Chaoshun Li*, Wei Ni. Dominant low-frequency oscillation modes tracking and parameter optimisation of electrical power system using modified Prony method. IET Generation, Transmission & Distribution, 2017, 11(17): 4358 – 4364.
[25] Chaoshun Li*, Zhou J, Chang L, et al. T-S fuzzy model identification based on a novel hyper-plane-shaped membership function. IEEE Transactions on Fuzzy Systems, 2017, 25 (5), 1364-1370. （一区）
[26] Chaoshun Li*, Yifeng Mao, Jiandong Yang, et al. A nonlinear generalized predictive control for pumped storage unit. Renewable Energy, 2017, 114:945-959. （二区）
[27] Chaoshun Li*, Nan Zhang, Xinjie Lai, Jianzhong Zhou, Yanhe Xu. Design of a fractional order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation. Information Sciences, 2017, 396: 162–181. (入选ESI高引) （二区）
[28] Wenxiao Wang, Chaoshun Li*, Xiang Liao, Hui Qin. Study on unit commitment problem considering pumped storage and renewable energy via a novel binary artificial sheep algorithm. Applied Energy, 2017, 187: 612–626. （一区）
[29] Chaoshun Li*, Yifeng Mao, Jianzhong Zhou, Nan Zhang, Xueli An. 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. Applied Soft Computing, 2017, 52: 290-305. （二区）
2016年及以前
[30] Meng Luo, Chaoshun Li*, Xiaoyuan Zhang, Ruhai Li, Xueli An. Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings. ISA Transactions, 2016, 65: 556-566. （二区）
[31] Nan Zhang, Chaoshun Li*, Ruhai Li, Xinjie Lai, Yuanchuan Zhang. A mixed-strategy based gravitational search algorithm for parameter identification of hydraulic turbine governing system. Knowledge-Based Systems, 2016, 109: 218-237. （二区）
[32] Chaoshun Li*, Li Chang, Zhengjun Huang, et al. Parameter identification of a nonlinear model of hydraulic turbine governing system with an elastic water hammer based on a modified gravitational search algorithm. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2016, 50: 177-191. （二区）
[33] Chaoshun Li*, Xueli An, Ruhai Li. A chaos embedded GSA-SVM hybrid system for classification.Neural Comput & Applic, 2015, 26(3): 713–721. (IF: 1.492) （二区）
[34] Chaoshun Li*, Hongshun Li, Pangao Kou, Piecewise function based gravitational search algorithm and its application on parameter identification of AVR system, Neurocomputing, 2014, 124: 139-148. （二区）
[35] Chaoshun Li*, Jianzhong Zhou. Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosis. ISA Transactions, 2014, 53(5): 1534-1543. (IF: 2.6) （二区）
[36] Chaoshun Li*, Jianzhong Zhou, Jian Xiao, Han Xiao, Hydraulic turbine governing system identification using T–S fuzzy model optimized by chaotic gravitational search algorithm, Engineering Applications of Artificial Intelligence, 2013, 26 (9), 2073-2082. （二区）
[37] Chaoshun Li*, Jianzhong Zhou, Bo Fu, Pangao Kou, Jian Xiao, T-S fuzzy model identification with gravitational search based hyper-plane clustering algorithm, IEEE Transactions on Fuzzy Systems, 2012, 20 (2): 305-317. （一区）
[38] Chaoshun Li*, Jianzhong Zhou, Jian Xiao, Han Xiao, Parameters identification of chaotic system by chaotic gravitational search algorithm, Chaos, Solitons & Fractals 45 (4), 2012, 539-547.
[39] Chaoshun Li*, Jianzhong Zhou, Pangao Kou, Jian Xiao, A novel chaotic particle swarm optimization based fuzzy clustering algorithm, Neurocomputing, 2012, 83: 98-109. （二区）
[40] Chaoshun Li, Jianzhong Zhou*, Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm, Energy Conversion and Management, 2011, 52 (1), 374-381. (入选ESI高引) （一区）
[41] Chaoshun Li, Jianzhong Zhou*, Qingqing Li, et.al. A new T-S fuzzy-modeling approach to identify a boiler–turbine system. Expert Systems with Applications, 2010, 37(3): 2214-2221. （二区）
[42]Chaoshun Li, Jianzhong Zhou*, Xiuqiao Xiang, Qingqing Li, Xueli An. T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm. Engineering Applications of Artificial Intelligence, 2009, 22(4-5): 646-653 (IF: 2.368) （二区）
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