AI in Accelerating the Creation of Renewable Energy Sources. Bibliometric Analysis

In recent years, one of the most pressing issues facing society is the protection and conservation of our planet’s resources. The United Nations 2030 Agenda for Sustainable Development, adopted by 193 countries in 2015, defines a global model for sustainable development. According to the agendas guidelines, the modernisation efforts of highly developed countries should be focused on the eradication of poverty in all its forms, while pursuing a set of economic, social and environmental goals. Energy management, the acquisition and use of renewable energy sources, innovation and attention to environmental sustainability are some of the agenda’s goals. This trend includes innovations to create renewable energy sources, which are managed and monitored using artificial intelligence (AI) solutions. Therefore, the aim of this article is to highlight the importance of AI in accelerating renewable energy creation. As a research method, we used bibliometric analysis based on a set of publications from the Scopus database to achieve the stated objective. The VOSviewer programme was also used to analyse the collected bibliographic data on publications. The research shows that authors are increasingly interested in AI and renewable energy topics in recent years, as evidenced by the growing number of publications in this area.