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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 Ai2,*

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: email

TSP_ENERGY_42635.pdf

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