- Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
- Vol: 61 Issue: 1
- ESTIMATING CO2 EMISSIONS BY USING ENERGY INTENSITY DATA OF OECD COUNTRIES
ESTIMATING CO2 EMISSIONS BY USING ENERGY INTENSITY DATA OF OECD COUNTRIES
Authors : Semra Gunduc, Recep Eryigit
Pages : 68-75
Doi:10.33769/aupse.525368
View : 11 | Download : 6
Publication Date : 2019-06-30
Article Type : Research
Abstract :It is discussed that economic development has an essential effect on the country’s CO2 emission which plays an important role in global warming. In this research well-known machine learning algorithm Extreme Learning Machine, ELM, is used to investigate the relationship between CO2 emission and energy intensity for countries in OECD. The results indicate a strong correlation and the method perform well for estimation.Keywords : Extreme Learning Machine (ELM), Energy Intensity, CO2 emission