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ISA Transactions|July 2, 2014
Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosisChaoshun Li, Jianzhong Zhou
IEEE Transactions on Neural Networks and Learning Systems|November 15, 2019
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval PredictionRuoheng Wang, Chaoshun Li, Wenlong Fu, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random ForestsXiaoming Xue, Chaoshun Li, Suqun Cao, et al.
Scientific Reports|December 3, 2025
Stability and parameter sensitivity analysis of hydropower units under full operating conditions based on Pelton turbine refined modelsRongli Xu, Chaoshun Li, Xiaoqiang Tan, et al.
Iscience|January 10, 2023
An overview of deterministic and probabilistic forecasting methods of wind energyYuying Xie, Chaoshun Li, Mengying Li, et al.
ISA Transactions|September 14, 2016
Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearingsMeng Luo, Chaoshun Li, Xiaoyuan Zhang, et al.
Iscience|April 25, 2024
Optimal scheduling of electricity and hydrogen integrated energy system considering multiple uncertaintiesPengxia Chang, Chaoshun Li, Qiannan Zhu, et al.
Entropy (Basel, Switzerland)|December 3, 2020
A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine AlgorithmWenlong Fu, Jiawen Tan, Chaoshun Li, et al.
ISA Transactions|August 2, 2021
Deep balanced cascade forest: An novel fault diagnosis method for data imbalanceHao Chen, Chaoshun Li, Wenxian Yang, et al.
Iscience|March 18, 2024
Many-objective bi-level energy scheduling method for integrated energy stations based on power allocation strategyXiang Liao, Jun Ma, Bangli Yin, et al.
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