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Samara Oliveira Silva Santos
Centro de Ciências Exatas e Tecnológicas, Universidade Federal do Recôncavo da Bahia, Cruz das Almas, Bahia
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André Luiz Carvalho Ottoni
Centro de Ciências Exatas e Tecnológicas, Universidade Federal do Recôncavo da Bahia, Cruz das Almas, Bahia
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Erivelton Geraldo Nepomuceno
Centro de Pesquisa de Energia Oceânica, Dept. de Engenharia Eletrônica, Universidade de Maynooth
Keywords:
Machine Learning, Fuzzy, Optimization, Artificial Inteligence, Renewable Energy, Wind Energy, Solar Energy
Abstract
The Artificial Intelligence (AI) and its techniques are a broadly used field in engineering. Especially when studied in relation to renewable energy sources. Its study is important for the continuous development of the sustainable area, both in economic and social issues. Therefore, this paper aims to address the use of AI in renewable energy sources, such as solar and wind, by developing a systematic literature review. Emphasizing on the techniques used and their applications in everyday life. The main AI techniques that are highlighted in this paper are Optimization Methods, Machine Learning, and Fuzzy Logic. In each of the articles cited in this review there is at least one of these methods. In this aspect, it enabled the study in Renewable Energies, thereby highlighting its importance for the evolution of the theme proposed here.
