Machine Learning to Predict Energy Usage Outcomes

Abstract

How realistic are the sustainability standards that we impose on countries? Using data from countries all around the world from 2000-2020, this paper answers this question. Using a regression model, we predicted the renewable energy share in the total final energy consumption and CO2 emissions using various different factors that impact a country. The model has an r-squared value of 0.94 for renewable energy share in the total final energy consumption and 0.99 for CO2 emissions. The developed model has the potential to be used as a tool to achieve realistic progress towards sustainable development.