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A next-generation hybrid energy converter empowered by machine learning: pioneering sustainable integration of photovoltaic and grid power.

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Title: A next-generation hybrid energy converter empowered by machine learning: pioneering sustainable integration of photovoltaic and grid power.
Authors: Agrawal, Nikhil1, Agarwal, Anshul2, anshul.ee@email.bbau.ac.in, Kanumuri, Tirupathiraju1
Source: Neural Computing & Applications; Aug2025, Vol. 37 Issue 22, p17609-17632, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186986731
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A next-generation hybrid energy converter empowered by machine learning: pioneering sustainable integration of photovoltaic and grid power.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Aug2025, Vol. 37 Issue 22, p17609-17632, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186986731
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00521-025-11058-z
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 17609
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      – TitleFull: A next-generation hybrid energy converter empowered by machine learning: pioneering sustainable integration of photovoltaic and grid power.
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            NameFull: Agrawal, Nikhil
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            NameFull: Agarwal, Anshul
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            NameFull: Kanumuri, Tirupathiraju
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 37
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              Value: 22
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            – TitleFull: Neural Computing & Applications
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