This article provides a comprehensive review of advanced control strategies for power electronics in microgrid applications, focusing on hierarchical contr...
Key findings highlight the superiority of adaptive and AI-driven controls in handling non-linear and complex microgrid d…
This paper introduces an advanced control strategy that employs artificial intelligence, specifically deep neural networ…
It is highlighted that machine learning in microgrid hierarchical control can enhance control accuracy and address syste…
This study also identifies several factors, challenges, and concerns about the long-term advancement of MGs'' control te…
Hybrid Microgrids contain one or more AC and DC sub-grids, which contain AC or DC loads respectively, as well as DERs. H…
This study examined the benefits, limitations, and areas for future improvement. In addition, it explores the potential …
What are the most effective control strategies for microgrid operation and management to ensure optimal energy managemen…
This paper reviews the most recent research effort regarding the application of AI-based technology in the hierarchical …
Multi-agent systems (MAS) based intelligent algorithms were studied for advanced communications infrastructure, but they…
Effective control systems are essential for ensuring smooth integration, managing energy storage systems, and maintainin…
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