The global shift towards renewable energy sources has prompted the need for innovative solutions, particularly in remote areas. Countries like Egypt face unique challenges in transitioning to sustainable energy systems due to limited infrastructure and non-uniform energy demand. To address these issues, hybrid energy systems incorporating renewable sources like PV and wind, alongside advanced energy storage technologies including hydrogen storage devices, are being proposed for off-grid locations. A management framework using Multi-Agent Systems (MAS) has been developed to optimize energy dispatch, minimize operational costs, and improve system reliability through real-time data and enhanced optimization algorithms. Recent research has focused on coordinating renewable energy sources with advanced storage methods to meet sustainability goals. Studies have emphasized the potential of hybrid energy systems in reducing variability and peak load fluctuations, especially in off-grid regions. Various optimization algorithms and frameworks such as WAOA, COA, OOA, JADE, and SMA have shown promising results in enhancing cost-effectiveness and sustainability in managing hybrid renewable energy systems. Efforts have been made to optimize energy management in different contexts, such as the application of AI-aided intelligent EMS for microgrid operation and the utilization of stochastic energy management systems for islanded microgrids. These approaches aim to improve reliability, reduce operational costs, and optimize power dispatch while considering uncertainties related to renewable energy sources. The literature review highlights the importance of innovative energy management strategies to reduce carbon emissions, decrease reliance on fossil fuels, and ensure grid stability. By integrating renewable energy sources with advanced storage technologies and utilizing sophisticated optimization algorithms, countries like Egypt can progress towards a more sustainable and reliable energy future.