Improved AVOA based on LSSVM for wind power prediction.

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Bibliographic Details
Title: Improved AVOA based on LSSVM for wind power prediction.
Authors: ZHANG Zhonglin1, zhangzl@mail.lztju.cn, WEI Fan1, YAN Guanghui1, MA Haiyun2
Source: Journal of Measurement Science & Instrumentation; Sep2024, Vol. 15 Issue 3, p344-359, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182396454
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Improved AVOA based on LSSVM for wind power prediction.
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  Data: <searchLink fieldCode="AU" term="%22ZHANG+Zhonglin%22">ZHANG Zhonglin</searchLink><relatesTo>1</relatesTo>, <i>zhangzl@mail.lztju.cn</i><br /><searchLink fieldCode="AU" term="%22WEI+Fan%22">WEI Fan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22YAN+Guanghui%22">YAN Guanghui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22MA+Haiyun%22">MA Haiyun</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Measurement+Science+%26+Instrumentation%22">Journal of Measurement Science & Instrumentation</searchLink>; Sep2024, Vol. 15 Issue 3, p344-359, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182396454
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.62756/jmsi.1674-8042.2024036
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 344
    Titles:
      – TitleFull: Improved AVOA based on LSSVM for wind power prediction.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: ZHANG Zhonglin
      – PersonEntity:
          Name:
            NameFull: WEI Fan
      – PersonEntity:
          Name:
            NameFull: YAN Guanghui
      – PersonEntity:
          Name:
            NameFull: MA Haiyun
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          Dates:
            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 16748042
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              Value: 15
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Journal of Measurement Science & Instrumentation
              Type: main
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