Electrical energy consumption forecasting for Turkey using grey forecasting technics with rolling mechanism

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dc.authorid0000-0002-8098-3611en_US
dc.contributor.authorKuşakçı, Ali Osman
dc.contributor.authorAyvaz, Berk
dc.date.accessioned2019-08-22T07:53:55Z
dc.date.available2019-08-22T07:53:55Z
dc.date.issued2015en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe accuracy of electricity energy consumption prediction is an important issue effecting energy investment decisions as well as environmental policies. Although there are several forecasting techniques, selection of the most accurate technique is vital for energy planners. In this study, grey forecasting techniques with rolling mechanism (RM) have been used for modeling and predicting yearly net electrical energy consumption in Turkey. Three different grey models are generated to find the best model. The best grey model with RM is used for energy consumption forecasting from 2014 to 2030. Furthermore, the effect of RM is studied by comparing the obtained results with a Grey Model without RM. Results show nonhomogeneous Grey Model with RM improves forecasting accuracy.en_US
dc.identifier.doi10.1109/KBEI.2015.7436013en_US
dc.identifier.scopus2-s2.0-84971433320en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/2901
dc.identifier.urihttps://doi.org/10.1109/KBEI.2015.7436013
dc.identifier.wosWOS:000380397500002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGrey Forecastingen_US
dc.subjectRolling Mechanismen_US
dc.subjectElectricity Energy Consumptionen_US
dc.titleElectrical energy consumption forecasting for Turkey using grey forecasting technics with rolling mechanismen_US
dc.typeConference Objecten_US

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