A demand-side management assessment of residential consumers by a clustering approach

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dc.contributor.authorOguz, Eray
dc.contributor.authorTekdemir, İbrahim Gürsu
dc.contributor.authorGozel, Tuba
dc.date.accessioned2024-06-07T12:18:08Z
dc.date.available2024-06-07T12:18:08Z
dc.date.issued2022en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractResidential consumers have a significant share in total energy demand today. Demand-side management is a collection of processes which makes providing large amounts of energy less problematic. Identifying demand characteristics of energy consumers is a remarkable part of this process. Data clustering methods have recently been proposed as beneficial tools at that point. In this study, a novel parametric representation of residential energy consumption data is proposed. For that purpose, eleven specific parameters are proposed first for extraction of features in data. Next, principal component analysis is used for dimension reduction. Finally, k-means algorithm is applied for clustering. Two residential energy consumption datasets are used for validation. Analyses are carried out in MATLAB and R. Data clustering is realized on a monthly basis by using daily load curves and clustering performance is compared with another study. It is found that the proposed approach leads to the formation of meaningful clusters of residential consumers. It is also possible to observe demand tendency on a daily basis since daily consumption data is used during the process. Performance evaluation scores show that energy consumption data fit better into clusters when it is compared with another study in the literature.en_US
dc.identifier.doi10.1007/s00202-022-01681-7en_US
dc.identifier.issn0948-7921
dc.identifier.issn1432-0487
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://hdl.handle.net/20.500.12885/2248
dc.identifier.wosWOS:000884155700001
dc.identifier.wosqualityQ3en_US
dc.institutionauthorTekdemir, İbrahim Gürsu
dc.institutionauthoridhttps://orcid.org/0000-0003-1381-3513
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofELECTRICAL ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDemand-side managementen_US
dc.subjectResidential energy consumptionen_US
dc.subjectData clusteringen_US
dc.subjectIdentification of energy demand characteristicsen_US
dc.titleA demand-side management assessment of residential consumers by a clustering approachen_US
dc.typearticleen_US

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