Electricity consumption forecasting for Turkey with nonhomogeneous discrete grey model

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dc.authorid0000-0002-8098-3611en_US
dc.contributor.authorAyvaz, Berk
dc.contributor.authorKuşakcı, Ali Osman
dc.date.accessioned2019-08-08T09:48:45Z
dc.date.available2019-08-08T09:48:45Z
dc.date.issued2017en_US
dc.departmentFakülteler, Mühendislik ve Tasarım Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe accuracy of forecasting is an essential issue for decision makers in terms of energy planning. During the recent years, several techniques have been used for electricity consumption forecasting in order to accurately predict the future demand. Although there are several forecasting techniques, selection of the most appropriate one is of paramount importance. In this study, three different grey forecasting models are built and used for modeling and predicting yearly net electricity consumption in Turkey. Additionally, these three models are compared to find the best model by using performance criteria. The best approach, Nonhomogeneous Discrete Grey Model (NDGM), is employed to forecast electricity consumption from 2014 to 2030. In addition, a comparison is made with recent studies proving the grey model (GM) proposed by this study delivers better forecasting performance.en_US
dc.identifier.endpage267en_US
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85014699181en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage260en_US
dc.identifier.urihttps://hdl.handle.net/11467/2856
dc.identifier.volume17en_US
dc.identifier.wosWOS:000396873200010en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofEnergy Sources, Part B: Economics, Planning, and Policyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDiscrete Grey Modelen_US
dc.subjectElectricity Consumption Forecastingen_US
dc.subjectEnergy Demand Of Turkeyen_US
dc.subjectGrey Predictionen_US
dc.subjectGrey Theoryen_US
dc.titleElectricity consumption forecasting for Turkey with nonhomogeneous discrete grey modelen_US
dc.typeArticleen_US

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