Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges.
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| Title: | Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. |
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| Authors: | Saltos, Joan M.1,2 (AUTHOR), Intriago Cedeño, M. Gabriela1,2 (AUTHOR), Balderramo Velez, Ney R.1,2 (AUTHOR), León, Germán T. Ramos2 (AUTHOR), Cano-Ortega, A.1 (AUTHOR) acano@ujaen.es |
| Source: | Sensors (14248220). Mar2026, Vol. 26 Issue 6, p1793. 41p. |
| 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: 192598521 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26061793 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 41 StartPage: 1793 Titles: – TitleFull: Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saltos, Joan M. – PersonEntity: Name: NameFull: Intriago Cedeño, M. Gabriela – PersonEntity: Name: NameFull: Balderramo Velez, Ney R. – PersonEntity: Name: NameFull: León, Germán T. Ramos – PersonEntity: Name: NameFull: Cano-Ortega, A. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 26 – Type: issue Value: 6 Titles: – TitleFull: Sensors (14248220) Type: main |
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