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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.
IEEE Transactions on Neural Networks and Learning Systems|June 11, 2025
Deep Reinforcement Learning Approach for Dynamic Distribution Network Reconfiguration Based on Sequential MaskingRuoheng Wang, Xiaowen Bi, Siqi Bu, 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.
IEEE Transactions on Cybernetics|November 5, 2013
Low-level feature extraction for edge detection using genetic programmingWenlong Fu, Mark Johnston, Mengjie Zhang
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