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SP-RF-ARIMA:A sparse random forest and ARIMA hybrid model for electric load forecasting

Kamran Hassanpouri Baesmat Farhad Shokoohi Zeinab Farrokhi

全球能源互联网(英文)2025,Vol.8Issue(3):486-496,11.
全球能源互联网(英文)2025,Vol.8Issue(3):486-496,11.DOI:10.1016/j.gloei.2025.04.003

SP-RF-ARIMA:A sparse random forest and ARIMA hybrid model for electric load forecasting

SP-RF-ARIMA:A sparse random forest and ARIMA hybrid model for electric load forecasting

Kamran Hassanpouri Baesmat 1Farhad Shokoohi 2Zeinab Farrokhi1

作者信息

  • 1. Department of Electrical and Computer Engineering,University of Nevada,Las Vegas,4505 S.Maryland Pkwy.,Las Vegas 89154 NV,USA
  • 2. Department of Mathematical Sciences,University of Nevada,Las Vegas,4505 S.Maryland Pkwy.,Las Vegas 89154 NV,USA
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摘要

引用本文复制引用

Kamran Hassanpouri Baesmat,Farhad Shokoohi,Zeinab Farrokhi..SP-RF-ARIMA:A sparse random forest and ARIMA hybrid model for electric load forecasting[J].全球能源互联网(英文),2025,8(3):486-496,11.

基金项目

The authors express their gratitude to the editorial team and the anonymous reviewers for their invaluable con-structive feedback,which substantially enhanced the manuscript's quality.This work was supported by the Startup Grant(PG18929)awarded to F.Shokoohi. (PG18929)

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