Revolutionizing Energy Management and Smart City Development with Artificial Intelligence and Blockchain

Document Type : Original Article

Author

Department of Electrical Engineering, University of Guilan, Rasht, Guilan, Iran

Abstract

Smart cities leverage advanced technologies such as the Internet of Things (IoT), big data analytics, and automation systems to enhance the quality of life, improve resource efficiency, and reduce operational costs. Effective management of critical infrastructures, including power and energy networks, intelligent transportation, urban services, and data security, remains a significant challenge in the development of these cities. Artificial Intelligence (AI), with its extensive capabilities in big data analysis, energy consumption forecasting, power distribution optimization, and intelligent transportation management, plays a pivotal role in facilitating decision-making processes and enhancing the efficiency of urban systems. Meanwhile, blockchain technology provides a decentralized infrastructure, ensuring transaction transparency and enabling the execution of smart contracts, thereby guaranteeing security and trust in energy data and urban service management. This paper presents a comprehensive review of AI and blockchain applications in power systems and smart cities, analyzing their benefits and limitations, and identifying future research directions. The findings indicate that integrating these emerging technologies can substantially improve network efficiency, reduce operational costs, enhance security, and support sustainable energy management, ultimately contributing to the achievement of sustainable development goals in smart cities. Additionally, challenges related to scalability, interoperability between technologies, and legal and regulatory issues are discussed to provide a clear outlook for future research endeavors.

Keywords

Main Subjects


Ahmed, I., Zhang, Y., Jeon, G., Lin, W., Khosravi, M. R., & Qi, L. (2022). A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city. International Journal of Intelligent Systems37(9), 6493-6507.‏https://doi.org/10.1002/int.22852
Al Jasem, M. S., De Clark, T., & Shrestha, A. K. (2025). Toward decentralized intelligence: A systematic literature review of blockchain-enabled AI systems. Information16(9), 765.‏ https://doi.org/10.3390/info16090765
Al Shareef, A. M., Seçkiner, S., Eid, B., & Abumeteir, H. (2024). Integration of blockchain with artificial intelligence technologies in the energy sector: A systematic review. Frontiers in Energy Research12, 1377950.‏https://doi.org/10.3389/fenrg.2024.1377950
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376. https://doi.org/10.1109/COMST.2015.2444095
Alrashdi, I., & Alqazzaz, A. (2024). Synergizing AI, IoT, and blockchain for diagnosing pandemic diseases in smart cities: Challenges and opportunities 2. SMIJ7(2), 28.‏ https://doi.org/10.61356/SMIJ.2024.77106
Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., & Peacock, A. (2019). Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renewable and Sustainable Energy Reviews, 100, 143–174. https://doi.org/10.1016/j.rser.2018.10.014
AT, M. R., B, B., RR, S. A. P., Naidu, R. C., M, R. K., Ramachandran, P., Pajkumar, S., Kumar, V. S., Aggarwal, G., & Siddiqui, A. M. (2024). Intelligent energy management across smart grids deploying 6G IoT, AI, and blockchain in sustainable smart cities. IoT5(3), 560-591.‏ https://doi.org/10.3390/iot5030025
Badidi, E. (2022). Edge AI and blockchain for smart sustainable cities: Promise and potential. Sustainability14(13), 7609.‏https://doi.org/10.3390/su14137609‏
Caganova, D., & Das, S. (2025). Blockchain and AI: Building a decentralized green economy. In Generative AI for a Net-Zero Economy: Managing Climate Change and Business Innovation in the Digital Era (pp. 75-93). Springer Nature Singapore.‏https://doi.org/10.1007/978-981-96-8015-3_5
Chen, Y., Lu, Y., Bulysheva, L., & Kataev, M. Y. (2024). Applications of blockchain in industry 4.0: A review. Information Systems Frontiers26(5), 1715-1729.‏ https://doi.org/10.1007/s10796-022-10248-7
Dorri, A., Kanhere, S. S., & Jurdak, R. (2016). Blockchain in internet of things: Challenges and solutions. arXiv preprint arXiv:1608.05187.‏ https://arxiv.org/abs/1608.05187
Dritsas, E., & Trigka, M. (2024). Machine learning for blockchain and iot systems in smart cities: A survey. Future Internet16(9), 324.‏ https://doi.org/10.3390/fi16090324
Far, A. Z., Far, M. Z., Gharibzadeh, S., Naeini, H. K., Amini, L., Zangeneh, S., Rahimi, M., & Asadi, S. (2024). Artificial intelligence for secured information systems in smart cities: Collaborative iot computing with deep reinforcement learning and blockchain. arXiv preprint arXiv:2409.16444.‏ https://arxiv.org/abs/2409.16444
Garg, K. D., Kaur, P., & Sharma, P. (2024). AI-enabled smart homes and buildings in smart cities. In Smart cities (pp. 188-212). CRC Press.‏ https://www.routledge.com/Smart-Cities/book/9781032567618
Gupta, A., Gupta, R., Shukla, D. K., & Dagur, A. (2024). Smart city using blockchain with artificial intelligence. In Computational Methods in Science and Technology (pp. 175-184). CRC Press.‏ https://www.routledge.com/Computational-Methods-in-Science-and-Technology/book/9781032572605
Hamza, M. (2021). Blockchain and Artificial Intelligence in Sustainable City: Can These Technologies Create Sustainable Cities and Communities? [Bachelor's thesis, University of Twente].‏ https://essay.utwente.nl/87767/1/Hamza_BA_EEMCS.pdf
Hua, W., Chen, Y., Qadrdan, M., Jiang, J., Sun, H., & Wu, J. (2022). Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review. Renewable and Sustainable Energy Reviews161, 112308. https://doi.org/10.1016/j.rser.2022.112308‏
Idrissi, Z. K., Lachgar, M., & Hrimech, H. (2024). Blockchain, IoT and AI in logistics and transportation: A systematic review. Transport Economics and Management2, 275-285.‏ https://doi.org/10.1016/j.team.2024.09.002
Ifedayo, A. E., Olugbade, D., & Hamid, S. (2025). Integrating artificial intelligence with blockchain: A literature review on opportunities, challenges, and applications. Blockchain, Artificial Intelligence, and Future Research1(1), 52-69. https://doi.org/10.70211/bafr.v1i1.179‏
Jain, V. (2024). Convergence of IoT, blockchain, and computational intelligence in smart cities (R. Kumar, L. W. Yie, & S. Teyarachakul, Eds.). CRC Press, Taylor & Francis Group. ‏https://www.routledge.com/Convergence-of-IoT-Blockchain-and-Computational-Intelligence-in-Smart/Jain/p/book/9781032817096
Javed, A. R., Ahmed, W., Pandya, S., Maddikunta, P. K. R., Alazab, M., & Gadekallu, T. R. (2023). A survey of explainable artificial intelligence for smart cities. Electronics12(4), 1020.‏https://doi.org/10.3390/electronics12041020
Jeyaraj, J. R. A., Subhashini, S. J., Vadlamudi, V. N., Gao, S., & Venkataraman, Y. Energy management approaches using artificial intelligence and blockchain. In AI and Blockchain in Smart Grids (pp. 237-248). Auerbach Publications.‏ https://www.routledge.com/AI-and-Blockchain-in-Smart-Grids/book/9781032394931
Khan, A. A., Laghari, A. A., Rashid, M., Li, H., Javed, A. R., & Gadekallu, T. R. (2023). Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review. Sustainable Energy Technologies and Assessments57, 103282.‏ https://doi.org/10.1016/j.seta.2023.103282
Khanna, A., Sah, A., Bolshev, V., Jasinski, M., Vinogradov, A., Leonowicz, Z., & Jasiński, M. (2021). Blockchain: Future of e-governance in smart cities. Sustainability13(21), 11840.‏ https://doi.org/10.3390/su132111840
Kiruthika, M., & Ponnuswamy, P. P. (2021). Fusion of IoT, blockchain and artificial intelligence for developing smart cities. In Blockchain, Internet of Things, and Artificial Intelligence (pp. 155-177). Chapman and Hall/CRC.‏ https://www.taylorfrancis.com/chapters/edit/10.1201/9780429352898-9/fusion-iot-blockchain-artificial-intelligence-developing-smart-cities-kiruthika-priya-ponnuswamy
Kodali, R. K., Yerroju, S., & Yogi, B. Y. K. (2018, October). Blockchain based energy trading. In TENCON 2018-2018 IEEE Region 10 Conference (pp. 1778-1783). IEEE.‏https://doi.org/10.1109/TENCON.2018.8650447
Li, Y., Zhao, Y., Wu, L., & Zeng, Z. (2023). Artificial intelligence enabled computational methods for smart grid forecast and dispatch (Vol. 14). Springer Nature.‏https://link.springer.com/book/10.1007/978-981-99-6100-5
Lobus, N. V., Knyazeva, M. A., Popova, A. F., & Kulikovskiy, M. S. (2023). Carbon footprint reduction and climate change mitigation: A review of the approaches, technologies, and implementation challenges. Journal of Carbon Research9(4), 120.‏https://doi.org/10.3390/c9040120
Lukić, I., Köhler, M., Krpić, Z., & Švarcmajer, M. (2025). Advancing smart city sustainability through artificial intelligence, digital twin and blockchain solutions. Technologies13(7), 300. https://doi.org/10.3390/technologies13070300‏
Mengelkamp, E., Gärttner, J., Rock, K., Kessler, S., Orsini, L., & Weinhardt, C. (2018). Designing microgrid energy markets: A case study: The Brooklyn Microgrid. Applied energy210, 870-880. https://doi.org/10.1016/j.apenergy.2017.06.054‏
Merrad, Y., Habaebi, M. H., Islam, M. R., Gunawan, T. S., Elsheikh, E. A., Suliman, F. M., & Mesri, M. (2022). Machine learning-blockchain based autonomic peer-to-peer energy trading system. Applied Sciences12(7), 3507.‏ https://doi.org/10.3390/app12073507 
Miloud Dahmane, W., Ouchani, S., & Bouarfa, H. (2023). Guaranteeing information integrity and access control in smart cities through blockchain. Journal of Ambient Intelligence and Humanized Computing14(9), 11419-11428. https://doi.org/10.1007/s12652-022-03718-y‏
Moghaddam, S. M. S. H., Dashtdar, M., & Jafari, H. (2022). AI applications in smart cities’ energy systems automation. Repa Proceeding Series, 3(1), 1-5.‏ https://doi.org/10.37357-1068-CRGS2022.3.1.01
Mololoth, V. K., Saguna, S., & Åhlund, C. (2023). Blockchain and machine learning for future smart grids: A review. Energies16(1), 528. https://doi.org/10.3390/en16010528‏
Paula Jr, E. D., Bunda, N., Karim, H. A., AlDahoul, N., & Tan, M. J. T. (2025). Empowering the grid: Collaborative edge artificial intelligence for decentralized energy systems. arXiv preprint arXiv:2505.07170. https://arxiv.org/abs/2505.07170‏
Purushothaman, K. E., Ragavendran, N., Ramesh, S. P., Karthikeyan, V. G., Maheswari, G. U., & Saravanakumar, R. (2024, August). Innovative urban planning for harnessing blockchain and edge artificial intelligence for smart city solutions. In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) (pp. 65-68). IEEE. https://doi.org/10.1109/ICoICI62503.2024.10696745‏
Sahoo, S., Kumar, S., & Vyas, M. (2025). How does blockchain technology contribute to the development and functioning of smart cities?—A scoping review and future research directions. Journal of Economic Surveys.‏ https://doi.org/10.1111/joes.12679
Saidu, Y., Shuhidan, S. M., Aliyu, D. A., Aziz, I. A., & Adamu, S. (2025). Convergence of blockchain, IoT, and AI for enhanced traceability systems: A comprehensive review. IEEE Access.‏ https://doi.org/10.1109/ACCESS.2025.3528035
Salama, R., Al-Turjman, F., Alturjman, S., & Altorgoman, A. (2024). An overview of artificial intelligence and blockchain technology in smart cities. In F. Al-turjman (Ed.), Computational intelligence and blockchain in complex systems (pp. 269-275).‏ Elsevier. https://doi.org/10.1016/B978-0-443-13268-1.00018-2
Sharma, A., Podoplelova, E., Shapovalov, G., Tselykh, A., & Tselykh, A. (2021). Sustainable smart cities: Convergence of artificial intelligence and blockchain. Sustainability13(23), 13076.‏https://doi.org/10.3390/su132313076
Song, Y., Wan, C., Hu, X., Qin, H., & Lao, K. (2022). Resilient power grid for smart city. IEnergy1(3), 325-340. https://doi.org/10.23919/IEN.2022.0043
Zekić-Sušac, M., Mitrović, S., & Has, A. (2021). Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities. International journal of information management58, 102074.‏https://doi.org/10.1016/j.ijinfomgt.2020.102074
Zhao, W., Qi, Q., Zhou, J., & Luo, X. (2023). Blockchain-based applications for smart grids: An umbrella review. Energies16(17), 6147. https://doi.org/10.3390/en16176147.