Estimating co2 Emissions By Using Energy Intensıty Data of Oecd Countries
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Date
2019-06-30
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Ankara Üniversitesi Fen Fakültesi
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.
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Keywords
Extreme Learning Machine (ELM), Energy Intensity, CO2 emission