Machine learning-based predictive modelling of renewable energy adoption in developing countries
(2025)
Journal Article
Ossai, W., & Fagbola, T. M. (2025). Machine learning-based predictive modelling of renewable energy adoption in developing countries. Energy Reports, 14, 66-84. https://doi.org/10.1016/j.egyr.2025.05.066
This study explores global renewable energy trends in alignment with the 2030 Sustainable Development Goals. Employing and fine-tuning the ExtraTreesRegressor, models were developed to predict adoption levels of electricity from solar, wind, hydro, a... Read More about Machine learning-based predictive modelling of renewable energy adoption in developing countries.