Investigation the biomass in oecd countries and turkey: Comparative analysis with classification algorithms

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dc.contributor.authorTürkoglu, Elitas, M.N.
dc.contributor.authorErsöz, F.
dc.date.accessioned2024-09-29T16:16:19Z
dc.date.available2024-09-29T16:16:19Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, energy and renewable energy issues were investigated. The goal of the study; Investigation of energy production in OECD countries is the identification of the factors affecting it. As per the cluster analysis conclusions; OECD countries are separated into three groups. Also; Classifying models were used to analyze the relationship between biomass and waste generation; energy use, carbon dioxide emissions, and primary energy consumption obtained in OECD countries. Regression analysis, correlation analysis, and decision tree analysis were applied. Carbon dioxide emissions have been the most influential variable on energy production from biomass and waste. The findings of the study propose to design energy policies towards sustainable goals. The study confirms the hypothesis that the economic cycle will help reduce inefficiencies in the energy sector, resulting in higher yields based on key factors identified from biomass. According to the literature, an investigation on various factors related to the field of biomass has been made. Also, this study examined and compared three important variables, which were determined differently from the literature, with classification analyzes that were not performed before. For this reason, it is a support for the literature and an original study. © 2021, TUBITAK. All rights reserved.en_US
dc.description.sponsorshipTUBITAK; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAKen_US
dc.identifier.doi10.31202/ecjse.904934
dc.identifier.endpage1183en_US
dc.identifier.issn2148-3736
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85120538497en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage1170en_US
dc.identifier.trdizinid1130224en_US
dc.identifier.urihttps://doi.org/10.31202/ecjse.904934
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1130224
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9008
dc.identifier.volume8en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTUBITAKen_US
dc.relation.ispartofEl-Cezeri Journal of Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBiomassen_US
dc.subjectClustering methoden_US
dc.subjectDecision tree analysisen_US
dc.subjectMultiple linear regression analysisen_US
dc.subjectRenewable energyen_US
dc.titleInvestigation the biomass in oecd countries and turkey: Comparative analysis with classification algorithmsen_US
dc.title.alternativeOecd ülkeleri ve türkiye’de biyokütlenin araştırılması: Sınıflandırma algoritmaları ile karşılaştırmalı analizien_US
dc.typeArticleen_US

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