Analyzing Microgrid Energy Profile Behavior to Study a Shared Energy Management System Based on AI: Dubai buildings Case Study

The rising energy consumption caused by climate change and population growth has led to an imbalance between energy demand and production, resulting in CO
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emissions and electricity prices increase. To address these challenges and achieve a cleaner, sustainable environment, the integration of renewable energy systems in buildings has become crucial. This paper presents an overview of solar integration in buildings, with a specific focus on the United Arab Emirates (UAE), and compares the traditional Microgrid (MG) concept with a proposed innovative architecture. The proposed architecture incorporates the concept of Nanogrids (NGs) within a larger MG system, enabling decentralized energy generation and sharing. The Artificial Intelligence approach facilitates optimized energy distribution, load management, and efficient utilization of renewable energy sources. Additionally, Building-to-Building Renewable Energy Sharing (B2B RES) is explored as a potential solution to enhance energy utilization and efficiency. The proposed MG architecture and energy management approach offer a promising solution to achieve a sustainable and balanced energy system.