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. The primary objective is to explore the evolution, current state, and future prospects of microgrid technologies. . Microgrids (MGs) have the potential to be self-sufficient, deregulated, and ecologically sustainable with the right management. Additionally, they reduce the load on the utility grid. However, given that they depend on unplanned environmental factors, these systems have an unstable generation. . Meta Description: Explore 2025's top microgrid research hotspots, from AI-driven energy optimization to blockchain applications. This study employs bibliometric analysis to explore. .
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