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Effective energy management is crucial towards the creation of smarter and more sustainable cities. The paper presents a multi-agent reinforcement learning (MARL) framework for smart city energy management using price-based demand response systems (DRS) and the integration of renewable energy sources. The framework incorporates blockchain technology to ensure secure grid operator integration and real-time auditing. Our framework significantly advances SDG 7 (Affordable and Clean Energy) and SDG 11 (Sustainable Cities and Communities) by dynamically adjusting energy consumption and storage strategies depending on real-time price signals and demand patterns. Simulation results demonstrate the benefits of the proposed framework in terms of improved efficiency and stability, with increased renewable energy usage, reduced operational costs, and enhanced grid reliability. The proposed DRS provides a comprehensive solution to modern energy management challenges and fosters the development of sustainable urban infrastructures.

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Smart City Energy Management: A Multi-agent RL Approach for Price Based DRS and Renewable Energy Integration

  • 会议论文

  • 发表日期：

    2026年

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  • Abhirup Khanna,
  • Piyush Maheshwari

摘要

Effective energy management is crucial towards the creation of smarter and more sustainable cities. The paper presents a multi-agent reinforcement learning (MARL) framework for smart city energy management using price-based demand response systems (DRS) and the integration of renewable energy sources. The framework incorporates blockchain technology to ensure secure grid operator integration and real-time auditing. Our framework significantly advances SDG 7 (Affordable and Clean Energy) and SDG 11 (Sustainable Cities and Communities) by dynamically adjusting energy consumption and storage strategies depending on real-time price signals and demand patterns. Simulation results demonstrate the benefits of the proposed framework in terms of improved efficiency and stability, with increased renewable energy usage, reduced operational costs, and enhanced grid reliability. The proposed DRS provides a comprehensive solution to modern energy management challenges and fosters the development of sustainable urban infrastructures.