Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study.
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| Title: | Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study. |
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| Authors: | Roussel, Johan1,2, johan.roussel@centralelille.fr, Lafhaj, Zoubeir1,2, Yim, Pascal1, Danel, Thomas2, Ducoulombier, Laure1 |
| Source: | Buildings (2075-5309); Jul2025, Vol. 15 Issue 14, p2428, 27p |
| 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: 186929325 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings15142428 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 2428 Titles: – TitleFull: Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Roussel, Johan – PersonEntity: Name: NameFull: Lafhaj, Zoubeir – PersonEntity: Name: NameFull: Yim, Pascal – PersonEntity: Name: NameFull: Danel, Thomas – PersonEntity: Name: NameFull: Ducoulombier, Laure IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 15 – Type: issue Value: 14 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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