Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering
| dc.contributor.author | Yetkin, E. Fatih | |
| dc.contributor.author | Ceylan, Oğuzhan | |
| dc.contributor.author | Papadopoulos, Theofilos A. | |
| dc.contributor.author | Kazaki, Anastasia G. | |
| dc.contributor.author | Barzegkar-Ntovom, Georgios A. | |
| dc.date.accessioned | 2020-12-24T13:37:24Z | |
| dc.date.available | 2020-12-24T13:37:24Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This paper proposes a methodology to characterize active and reactive power load profiles. Specifically, the approach makes use of fast Fourier Transform for conversion into frequency domain, principle component analysis to reduce the dimension and K-means++ to determine the representative load profiles. The data set consists of five-year measurements taken from the Democritus University of Thrace Campus. Test days were also classified as working and non-working. From the results it is observed that the proposed methodology determines representative load profiles effectively both regarding active and reactive power. | en_US |
| dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | en_US |
| dc.identifier.doi | 10.1109/UPEC.2019.8893443 | en_US |
| dc.identifier.isbn | 978-172813349-2 | |
| dc.identifier.scopus | 2-s2.0-85075721373 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/3657 | |
| dc.identifier.uri | https://doi.org/10.1109/UPEC.2019.8893443 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2019 54th International Universities Power Engineering Conference (UPEC) | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
| dc.subject | clustering | en_US |
| dc.subject | electricity load profiles | en_US |
| dc.subject | frequency domain | en_US |
| dc.subject | principal component analysis | en_US |
| dc.subject | reactive power | en_US |
| dc.subject | real power | en_US |
| dc.title | Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Yetkin, E. Fatih | en_US |
| gdc.author.institutional | Ceylan, Oğuzhan | en_US |
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| gdc.coar.access | embargoed access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü | en_US |
| gdc.description.endpage | 6 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
| gdc.description.volume | 09/01/19 | en_US |
| gdc.identifier.openalex | W2984606693 | |
| gdc.identifier.wos | WOS:000619338200007 | en_US |
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| gdc.oaire.keywords | real power | |
| gdc.oaire.keywords | principal component analysis | |
| gdc.oaire.keywords | electricity load profiles | |
| gdc.oaire.keywords | frequency domain | |
| gdc.oaire.keywords | reactive power | |
| gdc.oaire.keywords | clustering | |
| gdc.oaire.popularity | 2.4103148E-9 | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.relation.journal | 2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings | |
| gdc.scopus.citedcount | 3 | |
| gdc.virtual.author | Ceylan, Oğuzhan | |
| gdc.virtual.author | Yetkin, Emrullah Fatih | |
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