Multi-agent reinforcement learning for fast-timescale demand response of residential loads.
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| Title: | Multi-agent reinforcement learning for fast-timescale demand response of residential loads. |
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| Authors: | Mai, Vincent1,2, Maisonneuve, Philippe2,3,4, Zhang, Tianyu1,2, Nekoei, Hadi1,2, nekoeihe@mila.quebec, Paull, Liam1,2, Lesage-Landry, Antoine2,3,4 |
| Source: | Machine Learning; Aug2024, Vol. 113 Issue 8, p5203-5234, 32p |
| 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: 178953580 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=178953580 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10994-023-06460-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 5203 Titles: – TitleFull: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mai, Vincent – PersonEntity: Name: NameFull: Maisonneuve, Philippe – PersonEntity: Name: NameFull: Zhang, Tianyu – PersonEntity: Name: NameFull: Nekoei, Hadi – PersonEntity: Name: NameFull: Paull, Liam – PersonEntity: Name: NameFull: Lesage-Landry, Antoine IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 08856125 Numbering: – Type: volume Value: 113 – Type: issue Value: 8 Titles: – TitleFull: Machine Learning Type: main |
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