Microgrids play a crucial role in optimizing renewable energy by integrating various sources to generate and store electricity. Effective resource management within microgrids is essential for improving efficiency and reducing operational costs. This study employs bibliometric analysis to explore key trends and emerging technologies in microgrid energy management. The analysis begins with a co-occurrence network to visualize relationships between key terms and their interconnected research areas, helping to identify thematic clusters. A trend topic analysis follows, highlighting the evolution of significant themes from 2010 to 2024. A dendrogram analysis further organizes subtopics hierarchically, while a word map analysis provides an overview of dominant themes and their practical applications. Thematic map analysis categorizes keywords into distinct clusters, offering a comprehensive understanding of technology trends and connections in the field. Key findings highlight four clusters: energy management systems, smart power grid optimization, battery management systems, and electric frequency control. These clusters underscore critical research gaps and innovative approaches in optimizing microgrid performance. By identifying future research directions, this study aims to contribute to the development of sustainable and efficient energy systems.