Forecasting Turkey’s energy demand using artificial neural networks: Future projection based on an energy deficit

dc.contributor.authorBayrak, M.
dc.contributor.authorEsen, Ö.
dc.date.accessioned2020-01-29T18:54:19Z
dc.date.available2020-01-29T18:54:19Z
dc.date.issued2014
dc.departmentFakülteler, İktisadi ve İdari Bilimler Fakültesi, İktisat Bölümüen_US
dc.description.abstractAs Turkey has limited energy resources and satisfies a large part of its energy needs using foreign resources, this study evaluates Turkey’s current energy conditions and presents a set of energy projections to contribute to the country’s future plans, programmes and policies. Based on the widespread view that the energy deficit is one of the most important constraints on Turkey’s sustainable growth, this study presents a set of predictions covering Turkey’s energy production and consumption for the nine-year period between 2012 and 2020. Based on the results, this study also proposes a set of solutions. In this study, a projection of Turkey’s energy production is made by considering the energy production targets of existing plants and the new energy plants that are planned to be completed in the projected future. In addition, the energy demand is forecasted by using a type of artificial intelligence model known as an artificial neural network. © CESMAA 2009 - 2014.en_US
dc.identifier.endpage204en_US
dc.identifier.issn1843-6110
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84920987533
dc.identifier.scopusqualityN/A
dc.identifier.startpage191en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12639/1423
dc.identifier.volume9en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherASERS Publishing Houseen_US
dc.relation.ispartofJournal of Applied Economic Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networksen_US
dc.subjectEnergy deficiten_US
dc.subjectEnergy demanden_US
dc.subjectForecastingen_US
dc.titleForecasting Turkey’s energy demand using artificial neural networks: Future projection based on an energy deficiten_US
dc.typeArticle

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