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Power forecasting method of ultra-short-term wind power cluster based on the convergence cross mapping algorithm

Yuzhe Yang Weiye Song Shuang Han Jie Yan Han Wang Qiangsheng Dai Xuesong Huo Yongqian Liu

全球能源互联网(英文)2025,Vol.8Issue(1):28-42,15.
全球能源互联网(英文)2025,Vol.8Issue(1):28-42,15.DOI:10.1016/j.gloei.2024.11.014

Power forecasting method of ultra-short-term wind power cluster based on the convergence cross mapping algorithm

Power forecasting method of ultra-short-term wind power cluster based on the convergence cross mapping algorithm

Yuzhe Yang 1Weiye Song 1Shuang Han 1Jie Yan 1Han Wang 1Qiangsheng Dai 2Xuesong Huo 2Yongqian Liu1

作者信息

  • 1. North China Electric Power University,Beijing 102206,PR China
  • 2. State Grid Jiangsu Electric Power Company Ltd,Jiangsu 210018,PR China
  • 折叠

摘要

关键词

Ultra-short-term wind power forecasting/Wind power cluster/Causality analysis/Convergence cross mapping algorithm

Key words

Ultra-short-term wind power forecasting/Wind power cluster/Causality analysis/Convergence cross mapping algorithm

引用本文复制引用

Yuzhe Yang,Weiye Song,Shuang Han,Jie Yan,Han Wang,Qiangsheng Dai,Xuesong Huo,Yongqian Liu..Power forecasting method of ultra-short-term wind power cluster based on the convergence cross mapping algorithm[J].全球能源互联网(英文),2025,8(1):28-42,15.

基金项目

This research was funded by the State Grid Science and Technology Project"Research on Key Technologies for Prediction and Early Warning of Large-Scale Offshore Wind Power Ramp Events Based on Meteorological Data Enhancement"(4000-202318098A-1-1-ZN). (4000-202318098A-1-1-ZN)

全球能源互联网(英文)

2096-5117

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