Comparative Analysis of Different Machine Learning Algorithms in Classification of Suitability of Renewable Energy Resource

Abstract

Renewable energies are one of the most important energy resources in this modern era not only due to deficiency of other energy resources but also because they are friendly to the environment. Their efficient utilization must be implemented to gain the most out of them. In this paper, a comparative analysis of the performance of different machine learning algorithms is presented for finding the suitable type of renewable resource for a location. A classification model of the best performing algorithm is implemented on the google earth engine, and their results are discussed.