Estimating transportation energy demand in Turkey using the artificial bee colony algorithm

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dc.authoridSonmez, Mustafa -- 0000-0001-6703-9944; AKGUNGOR, ALI PAYIDAR -- 0000-0003-0669-5715;
dc.contributor.authorSönmez, Mustafa
dc.contributor.authorAkgüngör, Ali Payidar
dc.contributor.authorBektaş, Salih
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:27:06Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:27:06Z
dc.date.issued2017
dc.departmentMühendislik Fakültesi
dc.description.abstractIn this study, three different mathematical models were proposed to estimate transportation energy demand of Turkey using the artificial bee colony algorithm. In the development of the models, gross domestic product, population and total annual vehicle-km were taken as parameters. For transportation energy demand estimations, linear, exponential and quadratic forms of mathematical expressions were used. A 44-year-old historical data from 1970 to 2013 were utilized for the training and testing stages of the models. The performances of the models were then evaluated by six different global error measurement approaches. The models that were developed were used in two possible scenarios to forecast transportation energy demand of Turkey for a 21-year period from 2014 to 2034. Artificial bee colony algorithm revealed the suitability of the optimization method for transportation energy planning and policy developments in Turkey. Furthermore, the results obtained from scenarios indicated that the energy demand of Turkey will be double that of 2013 by 2034. (C) 2017 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.energy.2017.01.074
dc.identifier.endpage310en_US
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.scopusqualityQ1
dc.identifier.startpage301en_US
dc.identifier.urihttps://doi.org/10.1016/j.energy.2017.01.074
dc.identifier.urihttps://hdl.handle.net/20.500.12451/5789
dc.identifier.volume122en_US
dc.identifier.wosWOS:000399267100026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEnergy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectTransportation Energy Demand
dc.subjectArtificial Bee Colony Algorithm
dc.subjectTransportation Energy Demand Modeling
dc.subjectTurkey
dc.titleEstimating transportation energy demand in Turkey using the artificial bee colony algorithm
dc.typeArticle

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