Wind speed prediction method based on CEEMDAN and echo state network

被引：0
|
作者：
Han H. [1 ]
Tang Z. [2 ]
机构：
[1] Xinjiang Xinneng Group Co., Ltd. Urumqi Electric Power Construction Debugging Institute, Urumqi
[2] School of Automation Engineering, Northeast Electric Power University, Jilin
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 12期
关键词：
CART; CEEMDAN; Echo state network; Prediction value correction; Wind speed prediction;
D O I：
10.19783/j.cnki.pspc.190923
中图分类号：
学科分类号：
摘要：
In order to predict wind speed accurately, this paper combines CART, CEEMDAN, echo state network and error correction strategy to propose a short-term wind speed prediction method with a multi-processing strategy. CART is applied to reconstruct the original dataset to get the training data. CEEMDAN is employed to extract the feature information. Then, ESN is used to model the wind speed based on the features. Finally, the model is modified by an error correction strategy. The proposed method can predict wind speed accurately, guide the production of a wind farm and improve the automation level of production. © 2020, Power System Protection and Control Press. All right reserved.
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页码：90 / 96
页数：6
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