This paper presents an intelligent energy management system (EMS) for microgrids. The intelligent EMS employs load and photovoltaic (PV) generation forecasting.
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Microgrid (MG) is a small-scale grid that may unite consumers, conventional power sources, distributed renewable energy sources, and energy storage technologies to form a flexible,
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Artificial intelligence (AI) has recently demonstrated immense potential for optimizing energy management in microgrids, providing efficient and reliable solutions.
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Authors in [113, 114] reported block chain technology for demand side energy management. Using reinforcement learning (RL) in [115, 116], a fully decentralized and intelligent
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Economic analyses show that while initial investments are high, long-term operational savings and improved resilience justify the adoption of advanced microgrid solutions when supported
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Abstract: This article focuses on intelligent energy management in microgrid systems, providing a comprehensive control engineering perspective on power electronics-based operation.
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A smart microgrid represents the evolution of the conventional model by integrating advanced communication systems, automation technologies, and intelligent energy management
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Aiming at the energy management problems of park microgrids, this paper proposes a methodology and system framework based on the concepts of in-depth wisdom integration and lean
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Artificial intelligence powered intelligent energy management framework for hydrogen storage and dispatch in smart microgrids Article Open access 18 November 2025
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Abstract and Figures This study proposes a smart energy management framework for a university campus microgrid aimed at reducing dependence on the main power grid and increasing
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