Energy Demand Forecasting Scenarios for Buildings Using Six AI Models.
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| Title: | Energy Demand Forecasting Scenarios for Buildings Using Six AI Models. |
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| Authors: | Salem, Khaled M.1,2,3, Rey-Martínez, Francisco J.1,2,3,4, Elgharib, A. O.1,2,3, Rey-Hernández, Javier M.1,4,5,6, jrey@uma.es |
| Source: | Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8238, 24p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187318042 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15158238 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 8238 Titles: – TitleFull: Energy Demand Forecasting Scenarios for Buildings Using Six AI Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Salem, Khaled M. – PersonEntity: Name: NameFull: Rey-Martínez, Francisco J. – PersonEntity: Name: NameFull: Elgharib, A. O. – PersonEntity: Name: NameFull: Rey-Hernández, Javier M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 15 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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