Day-ahead wind power prediction using an ensemble model considering multiple indicators combined with error correction. - Siyi Zhang 010; Mingbo Liu; Mingde Liu; Zhenxing Lei; Guihua Zeng; Zirui Chen (Appl. Soft Comput., 2023)

Two-stage short-term wind power probabilistic prediction using natural gradient boosting combined with neural network. - Siyi Zhang 010; Mingbo Liu; Min Xie; Shunjiang Lin (Appl. Soft Comput., 2024)