An Overview of Electricity Consumption in Europe: Models for Prediction of the Electricity Usage for Heating and Cooling

dc.authorscopusid55062130900
dc.authorscopusid58068396000
dc.authorscopusid7005981141
dc.authorscopusid24823628300
dc.contributor.authorYukseltan,E.
dc.contributor.authorAktunc,E.A.
dc.contributor.authorBilge,A.H.
dc.contributor.authorYucekaya,A.
dc.date.accessioned2024-06-23T21:39:22Z
dc.date.available2024-06-23T21:39:22Z
dc.date.issued2024
dc.departmentKadir Has Universityen_US
dc.department-tempYukseltan E., Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey; Aktunc E.A., Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey; Bilge A.H., Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey; Yucekaya A., Department of Industrial Engineering, Kadir Has University, Istanbul, Turkeyen_US
dc.description.abstractAlthough aggregate electricity consumption provides valuable information for market analysis, demand composition, including industrial, residential, illumination, and other uses, and special days, such as national or religious holidays and annual industrial shutdowns, differ for each country. This paper analyzes the hourly electricity consumption of European countries in the European Transmission System Operation for Electricity (ENTSO-E) grid from 2006 to 2018. We propose an outlier detection method to identify special days and a modulated Fourier Series Expansion model to determine the breakdown of industrial versus household consumption and heating versus cooling consumption. The proposed outlier detection method uses the time series for each hour and checks whether a day has more than a threshold number of hours with exceptional electricity consumption levels. The proposed demand prediction model has a 3% average error when electricity usage for heating is not dominant. It also allows country classification based on consumption patterns to efficiently manage regional or country-based electricity markets. © 2024, Econjournals. All rights reserved.en_US
dc.identifier.citation0
dc.identifier.doi10.32479/ijeep.15514
dc.identifier.endpage111en_US
dc.identifier.issn2146-4553
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85188273586
dc.identifier.scopusqualityQ2
dc.identifier.startpage96en_US
dc.identifier.urihttps://doi.org/10.32479/ijeep.15514
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5865
dc.identifier.volume14en_US
dc.institutionauthorBilge, Ayşe Hümeyra
dc.language.isoenen_US
dc.publisherEconjournalsen_US
dc.relation.ispartofInternational Journal of Energy Economics and Policyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectElectricity Consumption Composition Analysisen_US
dc.subjectFourier Series Expansionen_US
dc.subjectSpecial Days Detectionen_US
dc.titleAn Overview of Electricity Consumption in Europe: Models for Prediction of the Electricity Usage for Heating and Coolingen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication1b50a6b2-7290-44da-b8d5-f048fea8b315
relation.isAuthorOfPublication.latestForDiscovery1b50a6b2-7290-44da-b8d5-f048fea8b315

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