Application of a Hybrid Model of HPO and LSTM Neural Network Based on ICEEMDAN for Wind Speed Forecasting. - Qi Bi; Yu-long Bai 001; Yu-Ting Huang; Jun-Tao Hong; Zhi-Ru Chen; Zai-hong Hou (FSDM, 2023)

Application of Hybrid Model Based on NeuralProphet Model and Error Correction in Wind Power Prediction. - Zai-hong Hou; Yu-long Bai 001 (FSDM, 2024)

Hybrid neural network wind speed prediction based on two-level decomposition and weighted averaging. - Qi Bi; Yu-long Bai 001; Zai-hong Hou; Rui Wang (Earth Sci. Informatics, 2024)

Deep Learning Wind Power Prediction Model Based on Attention Mechanism-Based Convolutional Neural Network and Gated Recurrent Unit Neural Network. - Zai-hong Hou; Yu-Long Bai 001; Lin Ding; Xiaoxin Yue; Yu-Ting Huang; Wei Song; Qi Bi (J. Circuits Syst. Comput., 2024)