An approach for the prioritization of wind energy production farms

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dc.authorscopusid26656037500
dc.contributor.authorSağbaş, Aysun
dc.date.accessioned2022-05-11T14:26:33Z
dc.date.available2022-05-11T14:26:33Z
dc.date.issued2013
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractIn this paper, a hierarchical decision making framework based on multi-criteria decision making approach is presented to prioritize the wind energy production farms located in Mediterranean sea region of Turkey. Some criteria such as economic, technical, and environmental are considered for the evaluation model. In addition, an artificial neural network (ANN) model based on back propagation neural network (BPN) is also used to assess the alternative sites for wind energy generation. A comparison between proposed approaches is made to select the most appropriate wind energy production farm. It is found that the results obtained from ANN model and fuzzy analytical hierarchy process (FAHP) approach are similar. Moreover, Anamur district is the best area among the alternatives for establishing wind turbines in Mediterranean sea region of Turkey. The originality of the paper comes from the application of the proposed FAHP approach to the selection of the best wind energy production site and the comparison with ANN. © Sila Science.
dc.identifier.endpage1340
dc.identifier.issn1308-772X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84892427309
dc.identifier.scopusqualityN/A
dc.identifier.startpage1329
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6470
dc.identifier.volume31
dc.indekslendigikaynakScopus
dc.institutionauthorSağbaş, Aysun
dc.language.isoen
dc.relation.ispartofEnergy Education Science and Technology Part A: Energy Science and Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial neural network
dc.subjectFuzzy analytical hierarchy process
dc.subjectWind energy
dc.subjectArtificial neural network models
dc.subjectBack-propagation neural networks
dc.subjectEvaluation modeling
dc.subjectFuzzy analytical hierarchy process
dc.subjectHierarchical decisions
dc.subjectMulti-criteria decision making
dc.subjectWind energy generation
dc.subjectWind energy production
dc.subjectDecision making
dc.subjectNeural networks
dc.subjectSite selection
dc.subjectWind power
dc.titleAn approach for the prioritization of wind energy production farms
dc.typeArticle

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