Wind Power Prediction for Wind Farm Clusters Based on the Multi-feature Similarity Matching Method. - Xiaosheng Peng; Yuzhu Chen; Kai Cheng; Yunzheng Zhao; Bo Wang; Jianfeng Che; Jinyu Wen; Chen Lu; Wei-Jen Lee (IAS, 2019)

A Decision-dependent Stochastic Approach for Wind Farm Maintenance Scheduling Considering Wake Effect. - Wenqian Yin; Xiaosheng Peng; Yunhe Hou (ISGT-Europe, 2020)

A Novel Efficient DLUBE Model Constructed by Error Interval Coefficients for Clustered Wind Power Prediction. - Xiaosheng Peng; Qiyou Xu; Hongyu Wang; Jianxun Lang; Wenze Li; Tao Cai; Shanxu Duan; Yuying Xie; Chaoshun Li (IEEE Access, 2021)

Solar Radiation Intensity Probabilistic Forecasting Based on K-Means Time Series Clustering and Gaussian Process Regression. - Zhendong Zhang; Chao Wang; Xiaosheng Peng; Hui Qin; Hao Lv; Jialong Fu; Hongyu Wang (IEEE Access, 2021)

A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization. - Ruiqin Duan; Xiaosheng Peng; Cong Li; Zimin Yang; Yan Jiang; Xiufeng Li; Shuangquan Liu (IEEE Access, 2022)