Residential-commercial energy input estimation based on genetic algorithm (GA) approaches: an application of Turkey

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dc.contributor.authorOzturk, HK
dc.contributor.authorCanyurt, OE
dc.contributor.authorHepbasli, A
dc.contributor.authorUtlu, Z
dc.date.accessioned2019-10-27T19:05:29Z
dc.date.available2019-10-27T19:05:29Z
dc.date.issued2004
dc.departmentEge Üniversitesien_US
dc.description.abstractThe main objective of the present study is to develop the energy input estimation equations for the residential-commercial sector (RCS) in order to estimate the future projections based on genetic algorithm (GA) notion and to examine the effect of the design parameters on the energy input of the sector. For this purpose, the Turkish RCS is given as an example. The GA Energy Input Estimation Model (GAEIEM) is used to estimate Turkey's future residential-commercial energy input demand based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures. It may be concluded that the three various forms of models proposed here can be used as an alternative solution and estimation techniques to available estimation techniques. It is also expected that this study will be helpful in developing highly applicable and productive planning for energy policies. (C) 2003 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.enbuild.2003.11.001
dc.identifier.endpage183en_US
dc.identifier.issn0378-7788
dc.identifier.issn1872-6178
dc.identifier.issn0378-7788en_US
dc.identifier.issn1872-6178en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage175en_US
dc.identifier.urihttps://doi.org/10.1016/j.enbuild.2003.11.001
dc.identifier.urihttps://hdl.handle.net/11454/38294
dc.identifier.volume36en_US
dc.identifier.wosWOS:000189122300009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Saen_US
dc.relation.ispartofEnergy and Buildingsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectresidentialen_US
dc.subjectgenetic algorithmen_US
dc.subjectGAen_US
dc.subjectenergyen_US
dc.subjectenergy useen_US
dc.subjectenergy planningen_US
dc.subjectenergy modellingen_US
dc.subjectfuture projectionsen_US
dc.subjectTurkeyen_US
dc.titleResidential-commercial energy input estimation based on genetic algorithm (GA) approaches: an application of Turkeyen_US
dc.typeArticleen_US

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