Investigation the Biomass in OECD Countries and Turkey: Comparative Analysis with Classification Algorithms

Yıl 2021, , 1170 - 1183, 30.09.2021

Medine Nur Türkoğlu Elitaş , Filiz Ersöz

https://doi.org/10.31202/ecjse.904934

Cited By: 1

Öz

In this study, energy and renewable energy issues were investigated. The goal of the study; Investigation of energy production in OECD countries to investigate the scope of activities in Turkey's position is to contribute to the identification of mandatory strategy. In the application of the study; Energy production from biomass in OECD countries was first compared with the clustering method. As per the cluster analysis conclusions; OECD countries are separated into three groupsAlso; Classifying models were used to analyze the relationship between biomass and waste generation, carbon dioxide emissions and primary energy consumption obtained in OECD countries. Regression analysis, correlation analysis and decision tree analysis were applied among these variables. Primary energy consumption has been the most influential variable on energy production from biomass and waste.

Anahtar Kelimeler

Renewable energy, biomass, clustering method, multiple linear regression analysis, decision tree analysis

OECD Ülkeleri ve Türkiye’de Biyokütlenin Araştırılması: Sınıflandırma Algoritmaları ile Karşılaştırmalı Analizi

Öz

Bu çalışmada enerji ve yenilenebilir enerji konuları incelenmiştir. Çalışmanın hedefi; OECD ülkelerinde biyokütle enerji üretiminin araştırılması, onu etkileyen faktörlerin tanımlanması ve Türkiye'nin pozisyonundaki faaliyetlerin kapsamının araştırılması, zorunlu stratejilerin teşhisine katkı sağlamaktır. Çalışmanın uygulamasında; OECD ülkelerinde biyokütleden enerji üretimi ilk olarak kümeleme yöntemi ile karşılaştırılmıştır. Kümeleme analizi sonuçlarına göre; OECD ülkeleri üç gruba ayrılmaktadır. Ayrıca; OECD ülkelerinde elde edilen biyokütle ve atık üretimi ile karbondioksit emisyonları, birincil enerji tüketimi arasındaki ilişkiyi analiz etmek için sınıflandırıcı modellerden faydalanılmıştır. Bu değişkenler arasında sınıflandırıcı modellerden regresyon analizi, korelasyon analizi ve karar ağacı analizi uygulanmıştır. Birincil enerji tüketimi, biyokütle ve atıktan enerji üretimi üzerinde en etkili değişken olmuştur.

Anahtar Kelimeler

Yenilenebilir enerji, biyokütle, kümeleme yöntemi, çoklu doğrusal regresyon analizi, karar ağacı analizi

Kaynakça

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