Electricity consumption analysis using spline regression models: The case of a Turkish province

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dc.contributor.authorAlkan, Ömer
dc.contributor.authorGenç, Aşır
dc.contributor.authorOktay, Erhan
dc.contributor.authorÇelik, Ali Kemal
dc.date.accessioned2020-03-26T18:48:13Z
dc.date.available2020-03-26T18:48:13Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractEnergy is one of the indispensible elements of human life and electrical energy is adopted as the most frequently used energy type. As this type of energy can not be stored at the present time, it has to be instantly consumed. In other words, the demand of the consumers has to be compensated, immediately. This paper employs to model the electrical consumption of Erzurum province in 2011 by spline regression and to decide whether a statistically seasonal variation exists for this consumption. The one-year data set of the investigation was obtained from Turkish Electricity Transmission Company Provincial Directorate of Erzurum and was analyzed by the agency of continuous partial polynomial spline regressions. This analysis determined three knots and fits linear, quadratic and cubic spline regression models.en_US
dc.identifier.doi10.5539/ass.v9n7p231en_US
dc.identifier.endpage140en_US
dc.identifier.issn1911-2017en_US
dc.identifier.issue7en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage131en_US
dc.identifier.urihttps://dx.doi.org/10.5539/ass.v9n7p231
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30141
dc.identifier.volume9en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofAsian Social Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectElectricity consumptionen_US
dc.subjectKnoten_US
dc.subjectSpline regressionen_US
dc.titleElectricity consumption analysis using spline regression models: The case of a Turkish provinceen_US
dc.typeArticleen_US

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