Forecasting CO2 emissions based on time series.

Abstract

"The primary goal of this study is to forecast CO2 emissions using time series data. The objective of this research is to create a reliable prediction model that can help decision-makers make educated judgments about reducing CO2 emissions. Previous studies have shown that the accuracy of CO2 emissions prediction models might be increased by utilizing other variables including economic and population growth, technological breakthroughs, and governmental activities.

To forecast future CO2 emissions based on time series data, the suggested prediction model will make use of information on past CO2 emissions as well as other pertinent factors. By comparing the expected findings with actual CO2 emissions data, the study will assess the accuracy of the model. Additionally, the initiative will examine how excessive CO2 emissions affect the ecosystem, global food security, and human health.

People and the government are working together to find solutions to climate change, which has been identified as a serious problem worldwide, in order to prevent suffering for our children and grandchildren. 80% of all Greenhouse gas (GHG) emissions come from Carbon dioxide (CO2), a significant GHG gas. Therefore, lowering CO2 emissions will contribute to lowering the annual GHG emissions produced by each and every country."