This review critically examines the integration of Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) into smart microgrid platforms, focus...
Mathematical modeling is vigorously explained with a simulation case study. Challenges associated with microgrid impleme…
The paper''s introduction provides insights into the concept and structure of smart grids. It delves deeply into reviewi…
Smart MicroGrids (SMGs) can be seen as a promising option when it comes to addressing the urgent need for sustainable tr…
Abstract: Driven by the global energy transition and dual-carbon goals, the smart microgrid, as a combination of distrib…
This review aims to provide a structured synthesis of recent advancements in the management and optimization of smart mi…
Smart microgrids are characterized by decentralized energy production and fluctuating demand patterns, necessitating con…
This paper addresses the development of a perspective approach for optimizing smart microgrids'' operations by integrati…
This work presents an extensive literature analysis of the issues of stability, control, and power management of AC, DC,…
The reader is provided with an in-depth analysis of a variety of papers recently published in peer-reviewed journals: th…
Microgrids are power distribution systems that can operate either in a grid-connected configuration or in an islanded ma…
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