The energy demand estimation for Turkey using differential evolution algorithm

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dc.contributor.authorBeskirli, Mehmet
dc.contributor.authorHakli, Huseyin
dc.contributor.authorKodaz, Halife
dc.date.accessioned2020-03-26T19:43:00Z
dc.date.available2020-03-26T19:43:00Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe energy demand estimation commands great importance for both developing and developed countries in terms of the economy and country resources. In this study, the differential evolution algorithm ( DE) was used to forecast the long-term energy demand in Turkey. In addition to being employed for solving regular optimization problems, DE is also a global, meta-heuristic algorithm that enables fast, reliable and operative stochastic searches based on population. Considering the correlation between the increase in certain economic indicators in Turkey and the increase of energy consumption, two equations were used-one applying the linear form and the other the quadratic form. Turkey's long-term energy demand from 2012 to 2031 was estimated through the DE method in three different scenarios and in terms of the gross domestic product, import, export and population. To prove the success of the DE method in addressing the energy demand problem, the DE method was compared to other methods found in the literature. Results showed that the proposed DE method was more successful than the other methods. Furthermore, the future projections of energy demand obtained using the proposed method were compared to the indicators of energy demand estimated and observed by the Ministry of Energy and Natural Resources.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study was supported by the Scientific Research Project of Selcuk University.en_US
dc.identifier.doi10.1007/s12046-017-0724-7en_US
dc.identifier.endpage1715en_US
dc.identifier.issn0256-2499en_US
dc.identifier.issn0973-7677en_US
dc.identifier.issue10en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1705en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s12046-017-0724-7
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35577
dc.identifier.volume42en_US
dc.identifier.wosWOS:000413908600007en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER INDIAen_US
dc.relation.ispartofSADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDifferential evolution algorithmen_US
dc.subjectoptimizationen_US
dc.subjectenergy demanden_US
dc.subjectestimationen_US
dc.subjectTurkeyen_US
dc.titleThe energy demand estimation for Turkey using differential evolution algorithmen_US
dc.typeArticleen_US

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