A robust, resilience machine learning with risk approach: a case study of gas consumption.
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| Title: | A robust, resilience machine learning with risk approach: a case study of gas consumption. |
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| Authors: | Lotfi, Reza1,2, reza.lotfi.ieng@gmail.com, Changizi, Mehdi3,4, MohajerAnsari, Pedram5, Hosseini, Alireza1, Javaheri, Zahra6, Ali, Sadia Samar7 |
| Source: | Annals of Operations Research; Aug2025, Vol. 351 Issue 1, p279-302, 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: 187091996 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=187091996 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-024-05986-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 279 Titles: – TitleFull: A robust, resilience machine learning with risk approach: a case study of gas consumption. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lotfi, Reza – PersonEntity: Name: NameFull: Changizi, Mehdi – PersonEntity: Name: NameFull: MohajerAnsari, Pedram – PersonEntity: Name: NameFull: Hosseini, Alireza – PersonEntity: Name: NameFull: Javaheri, Zahra – PersonEntity: Name: NameFull: Ali, Sadia Samar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 351 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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