Flower pollination algorithm approach for the transportation energy demand estimation in Turkey: model development and application

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dc.contributor.authorKorkmaz, Ersin
dc.contributor.authorAkgungor, Ali Payidar
dc.date.accessioned2020-06-25T18:23:55Z
dc.date.available2020-06-25T18:23:55Z
dc.date.issued2018
dc.departmentKırıkkale Üniversitesi
dc.descriptionAKGUNGOR, ALI PAYIDAR/0000-0003-0669-5715
dc.description.abstractThis study proposes a new optimization technique to estimate the Transportation Energy Demand (TED) employing the Flower Pollination Algorithm (FPA). The TED estimation models were developed based on three parameters, which are Annual Vehicle-Km (AVK), Gross Domestic Product per Capita (GDPperC), and Carbon-dioxide (CO2) emission according to the linear, power and quadratic forms. These three parameters were determined by the WEKA data mining software program among nine parameters. Randomly selected 80% of historical data for 47 years, from 1970 to 2016, were used for the training of the algorithm, and the remains were used in the testing stage of the models. The performances of the models were evaluated according to six different statistical criteria. Transportation energy demand forecasts by 2035 were carried out using three different scenarios using the TED estimation models. According to the scenarios, it is predicted that the transportation energy demand in Turkey will have doubled by 2035 in comparison with 2016. The FPA approach has been successfully applied in the development of the TED estimation models. The most important impact of this study is to help the creation of strategic action plans for energy policies in the transport sector and to contribute to the more efficient use of limited energy resources in the country.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1080/15567249.2019.1572835
dc.identifier.endpage447en_US
dc.identifier.issn1556-7249
dc.identifier.issn1556-7257
dc.identifier.issue11-12en_US
dc.identifier.scopus2-s2.0-85061341216
dc.identifier.scopusqualityQ1
dc.identifier.startpage429en_US
dc.identifier.urihttps://doi.org/10.1080/15567249.2019.1572835
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7217
dc.identifier.volume13en_US
dc.identifier.wosWOS:000458415400001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofEnergy Sources Part B-Economics Planning And Policy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTransportation energy demanden_US
dc.subjectenergy modellingen_US
dc.subjectflower pollination algorithm (FPA)en_US
dc.subjectfuture projectionsen_US
dc.subjectTurkeyen_US
dc.titleFlower pollination algorithm approach for the transportation energy demand estimation in Turkey: model development and applicationen_US
dc.typeArticle

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