Energy demand estimation based on two-different genetic algorithm approaches

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dc.contributor.authorCanyurt O.E.
dc.contributor.authorCeylan H.
dc.contributor.authorOzturk H.K.
dc.contributor.authorHepbasli A.
dc.date.accessioned2019-10-27T00:12:42Z
dc.date.available2019-10-27T00:12:42Z
dc.date.issued2004
dc.departmentEge Üniversitesien_US
dc.description.abstractEnergy modeling is a subject of widespread current interest among engineers and scientists concerned with problems of energy production and consumption. Energy planning is not possible without a reasonable knowledge of past and present energy consumption and likely future demands. In this study, two forms of the energy demand equations are developed in order to improve energy demand estimation efficiency for future projections based on the genetic algorithm (GA) notion. The genetic algorithm energy demand (GAEDM) model is used to estimate Turkey's future energy demand based on gross domestic product, population, import, and export figures. Both equations proposed here are non-linear, of which one is exponential and the other is quadratic. The quadratic form of the GAEDM model provided a slightly better fit solution to the observed data and can be used with a high correlation coefficient for Turkey's future energy projections. It is expected that this study will be helpful in developing highly applicable and productive planning for energy policies.en_US
dc.identifier.doi10.1080/00908310490441610
dc.identifier.endpage1320en_US
dc.identifier.issn0090-8312
dc.identifier.issn0090-8312en_US
dc.identifier.issue14en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1313en_US
dc.identifier.urihttps://doi.org/10.1080/00908310490441610
dc.identifier.urihttps://hdl.handle.net/11454/22364
dc.identifier.volume26en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofEnergy Sourcesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergyen_US
dc.subjectEnergy demanden_US
dc.subjectEnergy modelingen_US
dc.subjectEnergy planningen_US
dc.subjectFuture projectionsen_US
dc.subjectGenetic algorithmen_US
dc.subjectTurkeyen_US
dc.titleEnergy demand estimation based on two-different genetic algorithm approachesen_US
dc.typeArticleen_US

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