IoT-based Energy Monitoring and Optimization System
Keywords:
Cloud computing, Distributed sensor networks, Energy monitoring, Energy optimisation, Industrial energy management, Internet of Things (IoT), Smart gridAbstract
The IoT-based energy monitoring and optimization system is a cutting-edge project that aims to design and implement a smart energy management system using IoT technology. This system will enable real-time monitoring and optimisation of energy consumption in buildings, homes and industries. The system will consist of sensors and actuators that collect data on energy consumption. This data is analysed, and measures are taken to reduce energy consumption and increase efficiency. The system will also feature a user-friendly interface that enables users to monitor their energy usage and receive alerts when there is an unusual spike in consumption. The IoT-based energy monitoring and optimization system will not only help to reduce energy consumption but also provide valuable insights into energy usage patterns. The main advantage of this system is that costs are saved by reducing energy consumption. By saving energy, the negative impact on the environment will be reduced. An IoT-based energy monitoring and optimization system offers a powerful way to improve energy efficiency, reduce costs, have a positive impact on the environment and contribute to a more sustainable future. The experimental results demonstrate that the system achieves accurate monitoring with an error of less than 3% and reduces energy consumption from 0.17 kWh to 0.119 kWh per day. Additionally, idle energy consumption was reduced significantly, showing the effectiveness of the optimisation mechanism.
References
S. D. Robinsha and B. Amutha, “IoT architecture for energy management in smart cities,” International Journal of Services Operations and Informatics, vol. 12, no. 4, pp. 325–343, 2023.
F. Shrouf and G. Miragliotta, “Energy management based on Internet of Things: Practices and framework for adoption in production management,” Journal of Cleaner Production, vol. 100, pp. 235–246, Aug. 2015.
A. Erzhanuly, “Enhancing enterprise energy management with IoT-based monitoring systems,” Eurasian Science Review, vol. 1, no. 1, Dec. 2023.
B. Chakraborty, “Optimization of energy efficiency in smart city IoT sensor networks”, Smart City Insights, vol. 2, no. 1, pp. 17–26, Mar. 2025.
O. V. Gnana Swathika, G. Kanimozhi, E. Umamaheswari, S. Rujay, and S. Saha, “IoT-based energy management system with data logging capability,” Lecture Notes in Electrical Engineering, pp. 547–555, Sep. 2020.
S. Bandyopadhyay, G. K. Das, S. Pakhira, M. Chatterjee, and S. Mondal, “IOT-SEMS: An IoT driven energy management solution for Industry 4.0,” International Journal for Research in Applied Science and Engineering Technology, vol. 13, no. 6, pp. 3464–3468, Jun. 2025.
A. A. Mirani, A. Awasthi, N. O’Mahony, and J. Walsh, “Industrial IoT-based energy monitoring system: Using data processing at edge,” IoT, vol. 5, no. 4, pp. 608–633, Sep. 2024.
S. Subramanian, “IoT-Enhanced energy management strategies for sustainable smart manufacturing practices,” Internet of Things and Edge Computing Journal, vol. 4, no. 1, pp. 115–152, Jan. 2024.
C. Yang, S. Lan, L. Wang, W. Shen, and G. G. Huang, “Big data driven edge-cloud collaboration architecture for cloud manufacturing: A software defined perspective,” IEEE Access, vol. 8, pp. 45938–45950, Mar. 2020.
I. Rojek, D. Mikołajewski, A. Mroziński, M. Macko, T. Bednarek, and K. Tyburek, “Internet of Things applications for energy management in buildings using artificial intelligence—A case Study,” Energies, vol. 18, no. 7, Mar. 2025.
A. A. Kumar Majhi and S. Mohanty, “A comprehensive review on internet of things applications in power systems,” in IEEE Internet of Things Journal, vol. 11, no. 21, pp. 34896–34923, Nov. 2024.
Y. Tong, “Energy consumption optimization of an IoT monitoring center based on a max-min ant colony algorithm,” Wireless Communications and Mobile Computing, vol. 2023, no. 1, pp. 1–11, Feb. 2023.
S. Hanifi, B. Alkali, G. Lindsay, and D. McGlinchey, “Optimizing energy and air consumption in smart manufacturing: An industrial internet of things-based monitoring and efficiency enhancement solution,” Applied Sciences, vol. 15, no. 6, Mar. 2025.
