Location selection for solar power plants by using support vector machines: Adıyaman province, Turkey

Basit Öğe Kaydı
dc.contributor.authorBostanci, Buelent
dc.contributor.authorKaynak, Tolga
dc.contributor.authorCapkurt, Zeynep
dc.date.accessioned2024-11-07T13:32:45Z
dc.date.available2024-11-07T13:32:45Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe demand for natural resources and energy is increasing daily due to increasing trade and production opportunities resulting from population increase and globalization. The rising demand for energy and the uneven distribution of non-renewable energy have spurred a growing interest in renewable energy. Solar power has been preferred as a significant source of energy in power production in Turkey due to its geographical location, and this has brought the need for selecting suitable areas for the establishment of Solar Power Plants (SPP) in the provinces of the country that are rich in terms of solar power potential. The research focuses on identifying suitable areas for SPP in Adiyaman province, utilizing Geographical Information Systems (GIS) and Remote Sensing (RS). The spatial database incorporates 13 criteria affecting SPP establishment, and the study employs the Support Vector Machines (SVM) method for analysis. The results indicate that approximately 67 % of Adiyaman province is not suitable for SPP, while 8 % is deemed ideal at a moderate degree, 10 % is convenient, and 15 % is the most suitable. Establishing the SPPs planned in Adiyaman province in the most appropriate areas will ensure that more energy is obtained and significantly contribute to the province's economy, environment, and society.
dc.identifier.doi10.1016/j.renene.2024.120689
dc.identifier.issn0960-1481
dc.identifier.issn1879-0682
dc.identifier.scopus2-s2.0-85194425721
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.renene.2024.120689
dc.identifier.urihttps://hdl.handle.net/11480/15594
dc.identifier.volume229
dc.identifier.wosWOS:001247559400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRenewable Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectSolar power plants (SPP)
dc.subjectSupport vector machines (SVM)
dc.subjectOverall accuracy (OA)
dc.subjectReceiver operating characteristic (ROC)
dc.subjectArea under the curve (AUC)
dc.titleLocation selection for solar power plants by using support vector machines: Adıyaman province, Turkey
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu