ESTIMATING CO2 EMISSIONS BY USING ENERGY INTENSITY DATA OF OECD COUNTRIES

Eryigit, RECEP; gunduc, SEMRA

doi:10.33769/aupse.525368

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 (Hakemli Dergi)

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
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.