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Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach.

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Title: Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach.
Authors: Almaghrabi, Sarah1, ssalmaghrabi@uj.edu.sa, Saiedur Rahaman, Mohammad2, m.saiedurrahaman@cqu.edu.au, Rana, Mashud3, mashud.rana@acu.edu.au, Hamilton, Margaret4, margaret.hamilton@rmit.edu.au
Source: Neural Computing & Applications; Nov2025, Vol. 37 Issue 32, p26823-26843, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188800267
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach.
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  Data: <searchLink fieldCode="AU" term="%22Almaghrabi%2C+Sarah%22">Almaghrabi, Sarah</searchLink><relatesTo>1</relatesTo>, <i>ssalmaghrabi@uj.edu.sa</i><br /><searchLink fieldCode="AU" term="%22Saiedur+Rahaman%2C+Mohammad%22">Saiedur Rahaman, Mohammad</searchLink><relatesTo>2</relatesTo>, <i>m.saiedurrahaman@cqu.edu.au</i><br /><searchLink fieldCode="AU" term="%22Rana%2C+Mashud%22">Rana, Mashud</searchLink><relatesTo>3</relatesTo>, <i>mashud.rana@acu.edu.au</i><br /><searchLink fieldCode="AU" term="%22Hamilton%2C+Margaret%22">Hamilton, Margaret</searchLink><relatesTo>4</relatesTo>, <i>margaret.hamilton@rmit.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Nov2025, Vol. 37 Issue 32, p26823-26843, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188800267
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      – Type: doi
        Value: 10.1007/s00521-025-11645-0
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 26823
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      – TitleFull: Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach.
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            NameFull: Almaghrabi, Sarah
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            NameFull: Saiedur Rahaman, Mohammad
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            NameFull: Rana, Mashud
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              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 37
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              Value: 32
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