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A Smart Microgrid Platform Integrating AI and Deep Reinforcement Learning for Sustainable Energy Management

Author

Listed:
  • Badr Lami

    (Department of Electrical Engineering, College of Engineering, Taibah University, Madinah 41411, Saudi Arabia)

  • Mohammed Alsolami

    (Department of Electrical Engineering, College of Engineering, Taibah University, Madinah 41411, Saudi Arabia)

  • Ahmad Alferidi

    (Department of Electrical Engineering, College of Engineering, Taibah University, Madinah 41411, Saudi Arabia)

  • Sami Ben Slama

    (The Applied College, King Abdulaziz University, Jeddah 22254, Saudi Arabia)

Abstract

Smart microgrids (SMGs) have emerged as a key solution to enhance energy management and sustainability within decentralized energy systems. This paper presents SmartGrid AI, a platform integrating deep reinforcement learning (DRL) and neural networks to optimize energy consumption, predict demand, and facilitate peer-to-peer (P2P) energy trading. The platform dynamically adapts to real-time energy demand and supply fluctuations, achieving a 23% reduction in energy costs, a 40% decrease in grid dependency, and an 85% renewable energy utilization rate. Furthermore, AI-driven P2P trading mechanisms demonstrate that 18% of electricity consumption is handled through efficient decentralized exchanges. The integration of vehicle-to-home (V2H) technology allows electric vehicle (EV) batteries to store surplus renewable energy and supply 15% of household energy demand during peak hours. Real-time data from Saudi Arabia validated the system’s performance, highlighting its scalability and adaptability to diverse energy market conditions. The quantitative results suggest that SmartGrid AI is a revolutionary method of sustainable and cost-effective energy management in SMGs.

Suggested Citation

  • Badr Lami & Mohammed Alsolami & Ahmad Alferidi & Sami Ben Slama, 2025. "A Smart Microgrid Platform Integrating AI and Deep Reinforcement Learning for Sustainable Energy Management," Energies, MDPI, vol. 18(5), pages 1-30, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1157-:d:1600598
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    References listed on IDEAS

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