A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling.
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| Title: | A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling. |
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| Authors: | Gholizadeh, Nastaran1 (AUTHOR), Musilek, Petr1 (AUTHOR) pmusilek@ualberta.ca |
| Source: | Energies (19961073). Oct2024, Vol. 17 Issue 20, p5187. 18p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 180557926 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gholizadeh%2C+Nastaran%22">Gholizadeh, Nastaran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Musilek%2C+Petr%22">Musilek, Petr</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pmusilek@ualberta.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Oct2024, Vol. 17 Issue 20, p5187. 18p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180557926 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en17205187 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 5187 Titles: – TitleFull: A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gholizadeh, Nastaran – PersonEntity: Name: NameFull: Musilek, Petr IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 17 – Type: issue Value: 20 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |