Trends and Insights in Artificial Intelligence Applications for Microgrid Management: A Bibliometric Analysis

The utilization of artificial intelligence (AI) in the process of controlling and optimizing the operation of a microgrid (microgrid management) plays an essential role for the advancement of sustainable energy solutions. In order to look at the structure, trends, patterns, and insights on the utilization of AI in microgrid management, this study employs bibliometric analysis. Through an analysis of 187 relevant papers within the Scopus database, this study finds that research on AI application for microgrids management has significantly increased, with India, China, and the United States have the most contributions. Adaptive systems and optimization algorithms are key research topics in this field. This research highlights present state of AI application in microgrid management, points out gaps of research, and suggests future study directions that could lead to the development of energy systems that are more reliable and efficient.