Machine learning approaches for electricity price prediction: A case study on the day - ahead market.
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| Title: | Machine learning approaches for electricity price prediction: A case study on the day - ahead market. |
|---|---|
| Authors: | Niste, Daniela F.1 (AUTHOR) daniela.niste@enm.utcluj.ro, Pavel, Sorin Gh.1 (AUTHOR), Beleiu, Horia G.1 (AUTHOR), Cziker, Andrei C.1 (AUTHOR), Miron, Anca1 (AUTHOR) |
| Source: | EPJ Web of Conferences. 6/11/2026, Vol. 372, p1-7. 7p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194732425 AccessLevel: 2 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194732425 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1051/epjconf/202637207008 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Titles: – TitleFull: Machine learning approaches for electricity price prediction: A case study on the day - ahead market. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Niste, Daniela F. – PersonEntity: Name: NameFull: Pavel, Sorin Gh. – PersonEntity: Name: NameFull: Beleiu, Horia G. – PersonEntity: Name: NameFull: Cziker, Andrei C. – PersonEntity: Name: NameFull: Miron, Anca IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 06 Text: 6/11/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21016275 Numbering: – Type: volume Value: 372 Titles: – TitleFull: EPJ Web of Conferences Type: main |
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