Electricity estimation using genetic algorithm approach: a case study of Turkey

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dc.contributor.authorOzturk, HK
dc.contributor.authorCeylan, H
dc.contributor.authorCanyurt, OE
dc.contributor.authorHepbasli, A
dc.date.accessioned2019-10-27T18:57:36Z
dc.date.available2019-10-27T18:57:36Z
dc.date.issued2005
dc.departmentEge Üniversitesien_US
dc.description.abstractThis paper describes the use of stochastic search processes that are the basis of genetic algorithms (GAs), in developing Turkey's electric energy estimation. The industrial sector electricity consumptions and the totals are estimated, based on the basic indicators of the gross national product, population, import and export figures. Two different non-linear estimation models are developed using GA. Developed models are validated with actual data, while future estimation of electricity demand is projected between 2002 and 2025. It may be concluded that the both GAs can possibly be applied to estimate electric energy consumption. (C) 2004 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.energy.2004.08.008
dc.identifier.endpage1012en_US
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.issn0360-5442en_US
dc.identifier.issn1873-6785en_US
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1003en_US
dc.identifier.urihttps://doi.org/10.1016/j.energy.2004.08.008
dc.identifier.urihttps://hdl.handle.net/11454/37339
dc.identifier.volume30en_US
dc.identifier.wosWOS:000226295900005en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEnergyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleElectricity estimation using genetic algorithm approach: a case study of Turkeyen_US
dc.typeArticleen_US

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