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Optimized prediction of electrical and thermal performance in solar PV/T systems using cloud-based data acquisition and advanced ANN models.

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Title: Optimized prediction of electrical and thermal performance in solar PV/T systems using cloud-based data acquisition and advanced ANN models.
Authors: Zhang, Yibing1, Wang, Congcong1, Sun, Junhui2, Chen, Hongbing1, Nie, Pingjun1
Source: International Journal of Low Carbon Technologies; 2025, Vol. 20, p1223-1241, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190699740
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimized prediction of electrical and thermal performance in solar PV/T systems using cloud-based data acquisition and advanced ANN models.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190699740
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/ijlct/ctaf071
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1223
    Titles:
      – TitleFull: Optimized prediction of electrical and thermal performance in solar PV/T systems using cloud-based data acquisition and advanced ANN models.
        Type: main
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            NameFull: Zhang, Yibing
      – PersonEntity:
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            NameFull: Wang, Congcong
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            NameFull: Sun, Junhui
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            NameFull: Chen, Hongbing
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            NameFull: Nie, Pingjun
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            – D: 01
              M: 01
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
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              Value: 17481317
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              Value: 20
          Titles:
            – TitleFull: International Journal of Low Carbon Technologies
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