Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
Author(s): Weiheng Fu, Weirong Han, Tianze Xu, Yerin Kim, Chengda Lyu, Zheng AnqiSubject(s): Energy and Environmental Studies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: greenhouse gas; socio-economic factors; feature selection; principal component; regression;
Summary/Abstract: This paper examines the dependence of the emission of greenhouse gases including CO2, N2O and CH4 on social, economic and demographic factors. Feature selection is used to identify the most influential parameters, and emissions are modeled using three regression techniques, including linear regression, principal component regression and partial least square regression. The models are evaluated for key implications.
Journal: SAR Journal - Science and Research
- Issue Year: 2/2019
- Issue No: 3
- Page Range: 115-120
- Page Count: 6
- Language: English
