Artificial Intelligence in Renewable Energy: Bibliometric Review of Current Trends and Collaborations

The article presents a bibliometric analysis of publications on the use of artificial intelligence (AI) in the area of renewable energy sources (RES). The study is based on data downloaded from the Web of Science database, using the keywords “artificial intelligence” and “renewable energy”. The aim of the analysis is to identify the main trends, research areas, as well as leading institutions and authors in this interdisciplinary field. The CiteSpace tool was used to process and visualize the data. The analysis covers publications from the last two decades, enabling understanding of the evolution and development directions of the combination of AI and renewable energy. Particular attention was paid to interactions between various branches of science, which allows for the identification of potential new research areas and interdisciplinary cooperation. The results of the analysis show how AI contributes to the development of renewable energy efficiency, management and integration, also highlighting challenges and opportunities for future research in this field.