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Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China.

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Title: Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China.
Authors: Wang, Lin1, wanglin982@gmail.com, Lv, Sheng-Xiang1, shengxianglv@foxmail.com, Zeng, Yu-Rong1,2, zyr@hbue.edu.cn
Source: Energy; Jul2018, Vol. 155, p1013-1031, 19p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 129870835
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
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  Data: Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China.
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  Data: <searchLink fieldCode="AU" term="%22Wang%2C+Lin%22">Wang, Lin</searchLink><relatesTo>1</relatesTo>, <i>wanglin982@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Lv%2C+Sheng-Xiang%22">Lv, Sheng-Xiang</searchLink><relatesTo>1</relatesTo>, <i>shengxianglv@foxmail.com</i><br /><searchLink fieldCode="AU" term="%22Zeng%2C+Yu-Rong%22">Zeng, Yu-Rong</searchLink><relatesTo>1,2</relatesTo>, <i>zyr@hbue.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>; Jul2018, Vol. 155, p1013-1031, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=129870835
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.energy.2018.04.175
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1013
    Titles:
      – TitleFull: Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Wang, Lin
      – PersonEntity:
          Name:
            NameFull: Lv, Sheng-Xiang
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            NameFull: Zeng, Yu-Rong
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          Dates:
            – D: 15
              M: 07
              Text: Jul2018
              Type: published
              Y: 2018
          Identifiers:
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              Value: 03605442
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              Value: 155
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            – TitleFull: Energy
              Type: main
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