Time Series Data Analysis And Prediction Of CO2 Emissions

Abstract

With the on-going progress of global industrialization and the advancement of human society, the intake of fossil fuels is rising at an alarming rate, leading to extreme environmental issues, inclusive of the greenhouse effect. One of the major gases that produce the greenhouse effect is carbon dioxide (CO2). In the past 200 years the mean annual temperature of the Earth’s surface, averaged over the entire globe, has been increasing according to evidence. This paper analyzes and forecasts the emissions from carbon dioxide (CO2) using the dataset of the years 1995 to 2018 from India. The motivation behind this paper is also to educate people about how serious the current environmental issues are. The statistical technique of multiple linear regression is used for predicting and analysing the same. CO2 emission is considered to be the dependent variable while year, population and electricity consumption of India are considered to be the independent variables. The multiple linear regression model used generated a test score of 96.40%.