The study of sustainability and renewable energy is very important in the present decade, as they help achieve the countries' sustainable development goals by 2030. Education, science, technology, and innovation play an essential role in supporting the growth and quality of sustainable development. Therefore, in the present work, we aim to study the impact of school enrollment (SE) and GDP on clean energy usage in various countries. The data are downloaded from the World Data Bank. The results are obtained by applying descriptive and inferential statistical methods. The results reveal that SE and GDP are negatively correlated with renewable energy consumption (REC). The regression analyses are also performed to explain the renewable energy by the two variables. Different regression models are compared, and it is concluded that cubic regression models can be used to predict REC based on SE and GDP.