An AI–IoT integrated smart grid model for resilient and sustainable urban energy management

Authors

  • Mingyue Wang * School of computer and information, Lanzhou University of Technology, China. https://orcid.org/0009-0005-5983-8646
  • Aleksandar Dimov Faculty of Mathematics and Informatics (FMI), Sofia University, Bulgaria.

https://doi.org/10.22105/sci.v2i3.46

Abstract

As urban populations grow, cities face increasing pressure to manage energy consumption efficiently. The advent of IoT-based smart grid technologies provides a promising solution, enabling real-time monitoring, data analysis, and predictive maintenance to optimize energy use. This paper investigates various IoT applications in smart grids, focusing on their role in urban energy management. It examines Advanced Metering Infrastructure (AMI), Demand Response (DR), and Distributed Energy Resource (DER) integration. Through a comparative analysis of current strategies, the study highlights the strengths and challenges of IoT-based smart grids in urban areas and proposes future improvements for scalability and security. This research aims to advance smart grid capabilities to meet the dynamic energy demands of urban environments.

Keywords:

Internet of things, Smart grid, Urban energy management, Demand response, Advanced metering infrastructure

References

  1. [1] Din, S. U., Khan, Q., Rehman, F.-U., & Akmeliawanti, R. (2017). A comparative experimental study of robust sliding mode control strategies for underactuated systems. IEEE access, 5, 10068–10080. https://doi.org/10.1109/ACCESS.2017.2712261
  2. [2] Almihat, M. G. M., & Munda, J. L. (2025). The role of smart grid technologies in urban and sustainable energy planning. Energies, 18(7), 1618. https://doi.org/10.3390/en18071618
  3. [3] Rao, C. K., Sahoo, S. K., & Yanine, F. F. (2024). A literature review on an IoT-based intelligent smart energy management systems for PV power generation. Hybrid advances, 5, 100136. https://doi.org/10.1016/j.hybadv.2023.100136
  4. [4] Madhuri, N. S., Shailaja, K., Saha, D., Glory, K. B., Sumithra, M., & others. (2022). IoT integrated smart grid management system for effective energy management. Measurement: sensors, 24, 100488. https://doi.org/10.1016/j.measen.2022.100488
  5. [5] Mahmood, M., Chowdhury, P., Yeassin, R., Hasan, M., Ahmad, T., & Chowdhury, N. U. R. (2024). Impacts of digitalization on smart grids, renewable energy, and demand response: An updated review of current applications. Energy conversion and management: x, 24, 100790. https://doi.org/10.1016/j.ecmx.2024.100790
  6. [6] Kornatka, M., & Popławski, T. (2021). Advanced metering infrastructure—towards a reliable network. Energies, 14(18), 5986. https://doi.org/10.3390/en14185986
  7. [7] Chen, Z., Amani, A. M., Yu, X., & Jalili, M. (2023). Control and optimisation of power grids using smart meter data: A review. Sensors, 23(4), 2118. https://doi.org/10.3390/s23042118
  8. [8] Ibrahim, C., Mougharbel, I., Kanaan, H. Y., Abou Daher, N., Georges, S., & Saad, M. (2022). A review on the deployment of demand response programs with multiple aspects coexistence over smart grid platform. Renewable and sustainable energy reviews, 162, 112446. https://doi.org/10.1016/j.rser.2022.112446
  9. [9] Ohanu, C. P., Rufai, S. A., & Oluchi, U. C. (2024). A comprehensive review of recent developments in smart grid through renewable energy resources integration. Heliyon, 10(3), e25705. https://www.cell.com/heliyon/fulltext/S2405-8440(24)01736-5
  10. [10] Zheng, Z., Shafique, M., Luo, X., & Wang, S. (2024). A systematic review towards integrative energy management of smart grids and urban energy systems. Renewable and sustainable energy reviews, 189, 114023. https://doi.org/10.1016/j.rser.2023.114023
  11. [11] Alhasnawi, B. N., Hashim, H. K., Zanker, M., & Bureš, V. (2025). The rising, applications, challenges, and future prospects of energy in smart grids and smart cities systems. Energy conversion and management: x, 27, 101162. https://doi.org/10.1016/j.ecmx.2025.101162
  12. [12] Wang, W., & Lu, Z. (2013). Cyber security in the smart grid: Survey and challenges. Computer networks, 57(5), 1344–1371. https://doi.org/10.1016/j.comnet.2012.12.017
  13. [13] Yaacoub, J. P. A., Noura, H. N., Salman, O., & Chahine, K. (2025). Toward secure smart grid systems: Risks, threats, challenges, and future directions. Future internet, 17(7), 318. https://doi.org/10.3390/fi17070318
  14. [14] Achaal, B., Adda, M., Berger, M., Ibrahim, H., & Awde, A. (2024). Study of smart grid cyber-security, examining architectures, communication networks, cyber-attacks, countermeasure techniques, and challenges. Cybersecurity, 7(1), 10. https://doi.org/10.1186/s42400-023-00200-w
  15. [15] Guan, Z., Li, J., Wu, L., Zhang, Y., Wu, J., & Du, X. (2017). Achieving efficient and secure data acquisition for cloud-supported internet of things in smart grid. IEEE internet of things journal, 4(6), 1934–1944. https://doi.org/10.1109/JIOT.2017.2690522
  16. [16] Banad, Y. M., Sharif, S. S., & Rezaei, Z. (2025). Artificial intelligence and machine learning for smart grids: from foundational paradigms to emerging technologies with digital twin and large language model-driven intelligence. Energy conversion and management: x, 28, 101329. https://doi.org/10.1016/j.ecmx.2025.101329
  17. [17] Ali, M., Suchismita, M., Ali, S. S., & Choi, B. J. (2025). Privacy-preserving machine learning for IoT-integrated smart grids: Recent advances, opportunities, and challenges. Energies (19961073), 18(10). https://doi.org/10.3390/en18102515
  18. [18] Tabassum, S., Babu, A. R. V., & Dheer, D. K. (2024). A comprehensive exploration of IoT-enabled smart grid systems: Power quality issues, solutions, and challenges. Science and technology for energy transition, 79, 62. https://doi.org/10.2516/stet/2024056

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Published

2025-09-26

Issue

Vol. 2 No. 3 (2025): Smart City Insights

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Articles

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How to Cite

Wang, M., & Dimov, A. (2025). An AI–IoT integrated smart grid model for resilient and sustainable urban energy management. Smart City Insights, 2(3), 169-176. https://doi.org/10.22105/sci.v2i3.46

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