Xiaosheng Peng

A Convolutional Neural Network-Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High-Voltage Cables

Xiaosheng Peng, Fan Yang, Ganjun Wang et al. · IEEE Transactions on Power Delivery · 2019 · 203 citations · Full text

Convolutional Neural Network, Partial Discharge, Engineering +16

EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning

Xiaosheng Peng, Hongyu Wang, Jianxun Lang et al. · Energy · 2020 · 126 citations

Numerical Weather Prediction, Engineering, Data Science +9

Random Forest Based Optimal Feature Selection for Partial Discharge Pattern Recognition in HV Cables

Xiaosheng Peng, Jinshu Li, Ganjun Wang et al. · IEEE Transactions on Power Delivery · 2019 · 86 citations

Optimal Feature Selection, Electrical Engineering, Partial Discharge +14

Application of K-Means method to pattern recognition in on-line cable partial discharge monitoring

Xiaosheng Peng, Chengke Zhou, D.M. Hepburn et al. · IEEE Transactions on Dielectrics and Electrical Insulation · 2013 · 83 citations · Full text

Electrical Engineering, Condition Monitoring, Pd Patterns +12

Rough set theory applied to pattern recognition of Partial Discharge in noise affected cable data

Xiaosheng Peng, Jinyu Wen, Zhaohui Li et al. · IEEE Transactions on Dielectrics and Electrical Insulation · 2017 · 51 citations · Full text

Electrical Engineering, Condition Monitoring, Partial Discharge +11