Energy Analytics at the Edge: Enabling Decentralized Energy Management in Smart Cities

Irsyad N Haq, Edi Leksono, Justin Pradipta

Abstract


Abstract: Smart cities require decentralized energy management systems to optimize energy usage and reduce dependency on centralized infrastructure. This paper investigates the potential of energy analytics at the edge to enable decentralized energy management in smart cities. By leveraging edge computing capabilities, localized data processing, and real-time insights, we propose a framework that facilitates energy optimization, demand response, and grid resilience. We discuss the deployment considerations, system interoperability, and scalability challenges associated with edge-enabled energy analytics in smart cities. Through case studies and simulations, we demonstrate the effectiveness of our approach in improving energy efficiency, reducing peak demand, and enhancing the sustainability of urban energy systems. Our research contributes to the development of decentralized energy management strategies, paving the way for smarter and more resilient cities.

References


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