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Ex-ante and Ex-post Decomposition Strategy for Ultra-short-term Wind Power Prediction

Peng Lu Zhuo Li Lin Ye Ming Pei Yingying Zheng Yongning Zhao

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(4)：1454-1465,12.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(4)：1454-1465,12.DOI:10.17775/CSEEJPES.2022.07000

Ex-ante and Ex-post Decomposition Strategy for Ultra-short-term Wind Power Prediction

Peng Lu ¹Zhuo Li ¹Lin Ye ¹Ming Pei ¹Yingying Zheng ¹Yongning Zhao¹

作者信息

1. Department of College of Information and Electrical Engineering,China Agricultural University,Beijing 1000843,China
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摘要

关键词

Data pre-processing/error correction/reservoir neural network/wind power prediction

Key words

Data pre-processing/error correction/reservoir neural network/wind power prediction

引用本文复制引用

Peng Lu,Zhuo Li,Lin Ye,Ming Pei,Yingying Zheng,Yongning Zhao..Ex-ante and Ex-post Decomposition Strategy for Ultra-short-term Wind Power Prediction[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(4):1454-1465,12.

基金项目

This work is supported by the National Key R&D Program of China(2022YFB2403000). （2022YFB2403000）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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