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, vol.61, no.1, pp.68-75, 2019 (TRDizin)
- Publication Type: Article / Article
- Volume: 61 Issue: 1
- Publication Date: 2019
- Doi Number: 10.33769/aupse.525368
- Journal Name: Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering
- Journal Indexes: TR DİZİN (ULAKBİM)
- Page Numbers: pp.68-75
- Open Archive Collection: AVESIS Open Access Collection
- Ankara University Affiliated: Yes
Abstract
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.