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Improved Short-Term Surface Wind Speed Forecasts Using Random Forest Approach with Sliding Time Window and Region Regression.

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Title: Improved Short-Term Surface Wind Speed Forecasts Using Random Forest Approach with Sliding Time Window and Region Regression.
Authors: Zhao, Ruixia1 (AUTHOR), Dai, Kan1 (AUTHOR) daikan@cma.gov.cn, Cao, Yong1 (AUTHOR), Zhu, Yuejian2 (AUTHOR), Wang, Yu1 (AUTHOR), Wang, Qiguang3 (AUTHOR), Xu, Yinglong1 (AUTHOR)
Source: Weather & Forecasting. Oct2025, Vol. 40 Issue 10, p1917-1934. 18p.
Database: Environment Complete
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An: 187817459
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  Data: Improved Short-Term Surface Wind Speed Forecasts Using Random Forest Approach with Sliding Time Window and Region Regression.
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  Data: <searchLink fieldCode="JN" term="%22Weather+%26+Forecasting%22">Weather & Forecasting</searchLink>. Oct2025, Vol. 40 Issue 10, p1917-1934. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=187817459
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1175/WAF-D-24-0159.1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1917
    Titles:
      – TitleFull: Improved Short-Term Surface Wind Speed Forecasts Using Random Forest Approach with Sliding Time Window and Region Regression.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhao, Ruixia
      – PersonEntity:
          Name:
            NameFull: Dai, Kan
      – PersonEntity:
          Name:
            NameFull: Cao, Yong
      – PersonEntity:
          Name:
            NameFull: Zhu, Yuejian
      – PersonEntity:
          Name:
            NameFull: Wang, Yu
      – PersonEntity:
          Name:
            NameFull: Wang, Qiguang
      – PersonEntity:
          Name:
            NameFull: Xu, Yinglong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 08828156
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            – Type: volume
              Value: 40
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Weather & Forecasting
              Type: main
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