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A context-driven dynamic modeling method for ultra-short-term wind power forecasting

Xuanru Chen Han Wang Yuhao Li Jie Yan Shuang Han Yongqian Liu

全球能源互联网（英文）2026，Vol.9Issue(2)：243-254,12.

全球能源互联网（英文）2026，Vol.9Issue(2)：243-254,12.DOI:10.1016/j.gloei.2025.09.006

A context-driven dynamic modeling method for ultra-short-term wind power forecasting

Xuanru Chen ¹Han Wang ¹Yuhao Li ¹Jie Yan ¹Shuang Han ¹Yongqian Liu¹

作者信息

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(NCEPU),Beijing 102206,P.R.China||School of New Energy,North China Electric Power University,Beijing 102206,P.R.China
折叠

摘要

关键词

Ultra-short-term wind power forecasting/Context-driven/Concept drift detection/Online modeling

Key words

Ultra-short-term wind power forecasting/Context-driven/Concept drift detection/Online modeling

引用本文复制引用

Xuanru Chen,Han Wang,Yuhao Li,Jie Yan,Shuang Han,Yongqian Liu..A context-driven dynamic modeling method for ultra-short-term wind power forecasting[J].全球能源互联网（英文）,2026,9(2):243-254,12.

基金项目

This work was supported by National Key R&D Pro-gram of China(2025YFE0110900),Inner Mongolia autonomous region"Selecting The Best Candidates to Undertake Key Research"project(2024JBGS0054). （2025YFE0110900）

全球能源互联网（英文）

ISSN：2096-5117

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