ESTIMATING CO2 EMISSIONS BY USING ENERGY INTENSITY DATA OF OECD COUNTRIES
Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering, cilt.61, sa.1, ss.68-75, 2019 (TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 61 Sayı: 1
- Basım Tarihi: 2019
- Doi Numarası: 10.33769/aupse.525368
- Dergi Adı: Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering
- Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.68-75
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Ankara Üniversitesi Adresli: Evet
Özet
It is discussed that economic development has an essential effect onthe country’s CO2 emission which plays an important role in global warming. Inthis research well-known machine learning algorithm Extreme Learning Machine,ELM, is used to investigate the relationship between CO2 emission and energyintensity for countries in OECD. The results indicate a strong correlation and themethod perform well for estimation.