Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/4885
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dc.contributor.authorCanyurt, O.E.-
dc.contributor.authorÖzturk, Harun Kemal-
dc.contributor.authorHepbasli, A.-
dc.contributor.authorUtlu, Zafer-
dc.date.accessioned2019-08-16T11:38:26Z
dc.date.available2019-08-16T11:38:26Z
dc.date.issued2005-
dc.identifier.issn0301-4215-
dc.identifier.urihttps://hdl.handle.net/11499/4885-
dc.identifier.urihttps://doi.org/10.1016/j.enpol.2003.11.001-
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. © 2003 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.relation.ispartofEnergy Policyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy modelingen_US
dc.subjectEnergy policyen_US
dc.subjectEnergy useen_US
dc.subjectFuture projectionsen_US
dc.subjectGenetic algorithmen_US
dc.subjectTurkeyen_US
dc.subjectCement manufactureen_US
dc.subjectDomestic appliancesen_US
dc.subjectGenetic algorithmsen_US
dc.subjectHousingen_US
dc.subjectMathematical modelsen_US
dc.subjectRefrigeratorsen_US
dc.subjectTelevisionen_US
dc.subjectVacuum cleanersen_US
dc.subjectWashing machinesen_US
dc.subjectCement productionen_US
dc.subjectDesign parametersen_US
dc.subjectEnergy utilizationen_US
dc.subjectenergy policyen_US
dc.subjectenergy useen_US
dc.subjectgenetic algorithmen_US
dc.subjectmodelingen_US
dc.subjectresidential energyen_US
dc.subjectEastern Hemisphereen_US
dc.subjectEurasiaen_US
dc.subjectWorlden_US
dc.subjectAvesen_US
dc.subjectMeleagris gallopavoen_US
dc.titleEstimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approachesen_US
dc.typeArticleen_US
dc.identifier.volume33en_US
dc.identifier.issue8en_US
dc.identifier.startpage1011
dc.identifier.startpage1011en_US
dc.identifier.endpage1019en_US
dc.authorid0000-0003-4831-1118-
dc.identifier.doi10.1016/j.enpol.2003.11.001-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-10944220809en_US
dc.identifier.wosWOS:000227132200006en_US
local.message.claim2023-07-12T13:21:33.715+0300|||rp00390|||submit_approve|||dc_contributor_author|||None*
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale_University-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextnone-
crisitem.author.dept10.07. Mechanical Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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