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Data-driven smart grid carbon emission control methods using graph-based power flow computing.

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Title: Data-driven smart grid carbon emission control methods using graph-based power flow computing.
Authors: Yang, Wei1, weiyang_sgcc@hotmail.com, Zhou, Chunlei1, Song, Jinwei1, Xuan, Donghai1, Yuan, Qiheng1, Zhu, Guangxin1, Zhang, Pengyu1
Source: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.); 2024, Vol. 24 Issue 4/5, p3245-3259, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179090225
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Data-driven smart grid carbon emission control methods using graph-based power flow computing.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179090225
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/JCM-247574
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 3245
    Titles:
      – TitleFull: Data-driven smart grid carbon emission control methods using graph-based power flow computing.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Yang, Wei
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            NameFull: Zhou, Chunlei
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            NameFull: Song, Jinwei
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            NameFull: Xuan, Donghai
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            NameFull: Yuan, Qiheng
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            NameFull: Zhu, Guangxin
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            NameFull: Zhang, Pengyu
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          Dates:
            – D: 01
              M: 09
              Text: 2024
              Type: published
              Y: 2024
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              Value: 24
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              Value: 4/5
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            – TitleFull: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.)
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