Modelagem preditiva do crescimento do setor de energia solar no Piauí

Abstract

Climate change and the rising emission of greenhouse gases have driven the search for sustainable energy sources in order to mitigate climate change. In Brazil, solar energy has gained increasing prominence as one of the main sources driving the expansion of the national electricity grid. Within this context, machine learning-based solutions have been developed to support decisionmaking regarding growth trends in the solar energy sector. This study addresses the development of a machine learning model capable of estimating installed power capacity (measured in kW) using solar energy generation data from the state of Piauí. This research may serve as a complement to other studies seeking to develop machine learning-based solutions for the solar energy sector, and may also serve as a reference for research aiming to apply machine learning in other contexts of renewable energy generation, thereby contributing to a broader understanding of sustainable energy planning across the country overall.