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Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics

Mao Yang Tian Peng Wei Zhang Xin Su Chao Han Fulin Fan

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(2)：612-622,11.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(2)：612-622,11.DOI:10.17775/CSEEJPES.2022.06640

Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics

Mao Yang ¹Tian Peng ¹Wei Zhang ¹Xin Su ¹Chao Han ¹Fulin Fan²

作者信息

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,China
2. Department of Electronic and Electrical Engineering,University of Strathclyde,Glasgow G1 1XW,United Kingdom
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摘要

关键词

Abnormal data/bidirectional weighted random forest/BiGRU/CLOF/reconstruction/wind power prediction/wind speed characteristics

Key words

Abnormal data/bidirectional weighted random forest/BiGRU/CLOF/reconstruction/wind power prediction/wind speed characteristics

引用本文复制引用

Mao Yang,Tian Peng,Wei Zhang,Xin Su,Chao Han,Fulin Fan..Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(2):612-622,11.

基金项目

This work was supported by the National Key R&D Program of China"Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption"(2018YFB0904200). （2018YFB0904200）

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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