High-resolution electricity load forecasting in a university campus using deep neural networks, Kalman filtering, and self-attention.
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| Title: | High-resolution electricity load forecasting in a university campus using deep neural networks, Kalman filtering, and self-attention. |
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| Authors: | Krechowicz, Adam1, adeik.k@gmail.com, Rossi, Mansueto2, Delfino, Federico2, Bartosik, Artur3 |
| Source: | Advances in Science & Technology Research Journal; 2026, Vol. 20 Issue 5, p223-237, 15p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193881025 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193881025 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12913/22998624/216176 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 223 Titles: – TitleFull: High-resolution electricity load forecasting in a university campus using deep neural networks, Kalman filtering, and self-attention. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Krechowicz, Adam – PersonEntity: Name: NameFull: Rossi, Mansueto – PersonEntity: Name: NameFull: Delfino, Federico – PersonEntity: Name: NameFull: Bartosik, Artur IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20804075 Numbering: – Type: volume Value: 20 – Type: issue Value: 5 Titles: – TitleFull: Advances in Science & Technology Research Journal Type: main |
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