AI IoT-Powered Smart City Energy Management Systems: A Framework for Efficient Resource Management

Authors

https://doi.org/10.48313/siot.v2i1.297

Abstract

This paper introduces a scalable, integrated Artificial Intelligence (AI)-driven Internet of Things (IoT) framework to optimize resource management in smart city infrastructures, particularly for water, energy, waste, and transportation. As urban populations grow, the demands for efficient resource distribution and waste management intensify, requiring systems that can process and react to data in real time. The proposed framework incorporates a layered IoT system architecture, scalability features, advanced data processing algorithms, and security measures to handle large-scale IoT device deployments and data flows in urban settings. Tested against existing systems, the framework demonstrates substantial improvements in resource optimization and efficiency. Performance metrics, comparative analysis, and security evaluations underscore the framework’s robustness and reliability, supporting sustainable smart city growth.

Keywords:

Smart city, Artificial intelligence, Internet of things, Resource management, Scalability, Urban infrastructure

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Published

2026-03-18

Issue

Vol. 3 No. 1 (2026): Smart Internet of Things

Section

Articles

How to Cite

Pandey, A. ., Alimoradi, M. ., & Fakheri, S. . (2026). AI IoT-Powered Smart City Energy Management Systems: A Framework for Efficient Resource Management. Smart Internet of Things, 3(1), 25-31. https://doi.org/10.48313/siot.v2i1.297

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