This review critically examines the integration of Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) into smart microgrid platforms, focusing on their role in optimizing sustainable energy management. . Smart microgrids offer a decentralized approach that enhances energy efficiency, facilitates the integration of renewable energy sources, and improves urban resilience. This study follows a systematic review approach, analyzing the literature published in peer-reviewed journals, conference. . Microgrids are small-scale power grids that operate independently to generate electricity for a localized area, such as a university campus, hospital complex, military base or geographical region. The US Department of Energy defines a microgrid as a group of interconnected loads and distributed. . The transition to sustainable and intelligent energy systems has intensified the development of smart microgrids, which offer decentralized, resilient, and efficient power solutions.
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