Using Big Data and Orthogonal Matching Pursuit Regression for Forecasting Worldwide Green House Gasses Emissions and Consumption

Abstract

Abstract According to the World Resources Institute, the quantity of carbon dioxide generated per person is rising. Low levels of carbon dioxide gas are safe for humans to breathe, but long-term exposure to the gas has been associated with several health issues. On the other hand, this gas may impact the respiratory system if the concentration is high enough. Additionally, the neurological system is in danger. Carbon dioxide, a greenhouse gas, has many potential uses. On the other hand, if the pace of output in industrial units is not managed, it might lead to severe issues and high compensation costs. This study creates a machine learning model that can generate the high accuracy in the shortest period to calculate the Emissions of greenhouse gases produced globally per capita.