| Title: | A Machine Learning Application for the Energy Flexibility Assessment of a Distribution Network for Consumers |
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| Authors: | ID Rober, Jaka (Author)
ID Maruša, Leon (Author)
ID Beković, Miloš (Author) |
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| Files: |  Rober-2023-A_Machine_Learning_Application_for.pdf (9,03 MB)
MD5: 30AE45FAEB55C007D820DD5CBC4E9EA5
 https://www.mdpi.com/1996-1073/16/17/6168
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Keywords: | flexibility, baseline, demand response, distribution transformer, congestion management, power flow control, peak shaving, load shifting, predictive models, machine learning |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 01.08.2023 |
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| Article acceptance date: | 21.08.2023 |
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| Publication date: | 24.08.2023 |
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| Publisher: | MDPI |
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| Year of publishing: | 2023 |
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| Number of pages: | Str. 1-20 |
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| Numbering: | Letn. 16, št. 17, št. članka 6168 |
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| PID: | 20.500.12556/DKUM-86661  |
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| UDC: | 621.31 |
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| ISSN on article: | 1996-1073 |
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| COBISS.SI-ID: | 162461955 |
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| DOI: | 10.3390/en16176168 |
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| Publication date in DKUM: | 05.01.2024 |
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| Views: | 600 |
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| Downloads: | 77 |
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| Metadata: |    |
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| Categories: | Misc.
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