Investigation the biomass in oecd countries and turkey: Comparative analysis with classification algorithms
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TUBITAK
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In 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.
Açıklama
Anahtar Kelimeler
Biomass, Clustering method, Decision tree analysis, Multiple linear regression analysis, Renewable energy
Kaynak
El-Cezeri Journal of Science and Engineering
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
8
Sayı
3
