Open Access

ARTICLE

Short-Term Wind Power Prediction Based on ICEEMDAN-SE-LSTM Neural Network Model with Classifying Seasonal

Shumin Sun¹, Peng Yu¹, Jiawei Xing¹, Yan Cheng¹, Song Yang¹, Qian Ai^2,*

1 State Grid Shandong Electric Power Research Institute, Jinan, 250002, China
2 Key Laboratory of Control of Power Transmission and Conversion, Shanghai Jiao Tong University, Shanghai, 200240, China

* Corresponding Author: Qian Ai. Email: