A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems.
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| Title: | A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems. |
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| Authors: | Gurumoorthi, G.1 thermalguru2016@gmail.com, Senthilkumar, S.2, Karthikeyan, G.3, Alsaif, Faisal4 |
| Source: | Scientific Reports. 8/21/2024, Vol. 14 Issue 1, p1-25. 25p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 179234331 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-69483-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Titles: – TitleFull: A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gurumoorthi, G. – PersonEntity: Name: NameFull: Senthilkumar, S. – PersonEntity: Name: NameFull: Karthikeyan, G. – PersonEntity: Name: NameFull: Alsaif, Faisal IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 08 Text: 8/21/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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