Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering

dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorPapadopoulos, Theofilos A.
dc.contributor.authorKazaki, Anastasia G.
dc.contributor.authorBarzegkar-Ntovom, Georgios A.
dc.date.accessioned2020-12-24T13:37:24Z
dc.date.available2020-12-24T13:37:24Z
dc.date.issued2019
dc.departmentFakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.description.abstractThis 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.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumuen_US
dc.identifier.citation1
dc.identifier.doi10.1109/UPEC.2019.8893443en_US
dc.identifier.isbn978-172813349-2
dc.identifier.scopus2-s2.0-85075721373en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3657
dc.identifier.urihttps://doi.org/10.1109/UPEC.2019.8893443
dc.identifier.volume09/01/19en_US
dc.identifier.wosWOS:000619338200007en_US
dc.identifier.wosqualityN/A
dc.institutionauthorYetkin, E. Fatihen_US
dc.institutionauthorCeylan, Oğuzhanen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.journal2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectclusteringen_US
dc.subjectelectricity load profilesen_US
dc.subjectfrequency domainen_US
dc.subjectprincipal component analysisen_US
dc.subjectreactive poweren_US
dc.subjectreal poweren_US
dc.titleActive and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clusteringen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb80c3194-906c-4e78-a54c-e3cd1effc970
relation.isAuthorOfPublication.latestForDiscoveryb80c3194-906c-4e78-a54c-e3cd1effc970

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