Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches

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dc.contributor.authorCanyurt, OE
dc.contributor.authorOzturk, HK
dc.contributor.authorHepbasli, A
dc.contributor.authorUtlu, Z
dc.date.accessioned2019-10-27T18:58:12Z
dc.date.available2019-10-27T18:58:12Z
dc.date.issued2005
dc.departmentEge Üniversitesien_US
dc.description.abstractThe present study develops three forms of equations to better analyze energy use and make future projections based on genetic algorithm (GA) notion, and examines the effect of the design parameters on the energy utilization values. The models developed in the quadratic form are applied to Turkey, which is selected as an application country. Turkey's future residential energy output demand is estimated based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures. Among these models, the so-called GA-RWTVR model, which uses residential housing production, house appliances sales of washing machine, television, vacuum cleaner and refrigerator as design parameters/indicators, was found to provide the best fit solution to the observed data. It may be concluded that the models proposed can be used as an alternative solution and estimation techniques to available estimation techniques in predicting the future energy utilization values of countries. (C) 2003 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.enpol.2003.11.001
dc.identifier.endpage1019en_US
dc.identifier.issn0301-4215
dc.identifier.issn1873-6777
dc.identifier.issn0301-4215en_US
dc.identifier.issn1873-6777en_US
dc.identifier.issue8en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1011en_US
dc.identifier.urihttps://doi.org/10.1016/j.enpol.2003.11.001
dc.identifier.urihttps://hdl.handle.net/11454/37430
dc.identifier.volume33en_US
dc.identifier.wosWOS:000227132200006en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofEnergy Policyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgenetic algorithmen_US
dc.subjectenergy useen_US
dc.subjectenergy modelingen_US
dc.subjectenergy policyen_US
dc.subjectfuture projectionsen_US
dc.subjectTurkeyen_US
dc.titleEstimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approachesen_US
dc.typeArticleen_US

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