An Optimization Technique to Resolve Real time Monitoring using IoT for Smart Energy Meter

Year : 2026 | Volume : 16 | Issue : 01 | Page : 33 40
    By

    Mr. J. B. Singh,

  • Gaurav Rai,

  1. UG Scholar, Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India
  2. UG Scholar, Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India

Abstract

This paper presents an IoT-based smart energy meter designed for accurate, real-time monitoring of household and industrial electrical consumption. Customers and system operators can view real-time patterns of energy consumption with an easy-to-use web-based dashboard. Users can obtain important insights into their electricity consumption through graphical representations and historical data analysis, allowing for more efficient load management, energy conservation, and cost optimization. Users can obtain energy data from any location with internet connectivity thanks to the system’s support for remote monitoring. By giving end users comprehensive and easily accessible information, the suggested smart energy meter improves energy use transparency. Additionally, it supports the shift to intelligent energy management systems by enhancing energy efficiency and facilitating informed decision-making. The design, which makes use of IoT technology, is a major step toward the modernization of smart grids and sustainable energy management systems. It also marks a substantial improvement in smart metering infrastructure.The system integrates a microcontroller, current and voltage sensors, and Wi-Fi com- munication to collect and transmit energy data to a cloud server. A user-friendly dashboard allows consumers to visualize energy usage patterns, enabling better load management and cost optimization. The proposed design enhances transparency, supports remote monitoring, and represents a significant step toward smart grid modernization.

Keywords: IoT, Smart Energy Meter, Real-Time Monitoring, Cloud Dashboard, Smart Grid

[This article belongs to Journal of Power Electronics and Power Systems ]

How to cite this article:
Mr. J. B. Singh, Gaurav Rai. An Optimization Technique to Resolve Real time Monitoring using IoT for Smart Energy Meter. Journal of Power Electronics and Power Systems. 2026; 16(01):33-40.
How to cite this URL:
Mr. J. B. Singh, Gaurav Rai. An Optimization Technique to Resolve Real time Monitoring using IoT for Smart Energy Meter. Journal of Power Electronics and Power Systems. 2026; 16(01):33-40. Available from: https://journals.stmjournals.com/jopeps/article=2026/view=238855


References

[1] Al-Ali AR, Zualkernan IA, Rashid M, Gupta R, Alikarar M. A smart home energy management system using IoT and big data analytics approach. IEEE Transactions on Consumer Electronics. 2018 Jan 9;63(4):426-34.

[2] Sun Q, Li H, Ma Z, Wang C, Campillo J, Zhang Q, Wallin F, Guo J. A comprehensive review of smart energy meters in intelligent energy networks. IEEE Internet of Things Journal. 2015 Dec 24;3(4):464- 79.

[3] Vijayakumar D, Malathi V. A real-time management and evolutionary optimization scheme for a secure and flexible smart grid towards sustainable energy. International Journal of Electrical Power & Energy Systems. 2014 Nov 1;62:540-8.

[4] Rao CK, Sahoo SK, Yanine FF. Designing an intelligent smart energy monitoring system for optimizing the utilization of PV energy. Energy Systems. 2024 Nov 1:1-22.

[5] Kumar LA, Indragandhi V, Selvamathi R, Vijayakumar V, Ravi L, Subramaniyaswamy V. Design, power quality analysis, and implementation of smart energy meter using internet of things. Computers & Electrical Engineering. 2021 Jul 1;93:107203.

[6] Barman BK, Yadav SN, Kumar S, Gope S. IOT based smart energy meter for efficient energy utilization in smart grid. In2018 2nd international conference on power, energy and environment: towards smart technology (ICEPE) 2018 Jun 1 (pp. 1-5). IEEE.

[7] Shah AS, Nasir H, Fayaz M, Lajis A, Shah A. A review on energy consumption optimization techniques in IoT based smart building environments. Information. 2019 Mar 8;10(3):108.

[8] Rind YM, Raza MH, Zubair M, Mehmood MQ, Massoud Y. Smart energy meters for smart grids, an internet of things perspective. Energies. 2023 Feb 16;16(4):1974.

[9] Chen Z, Sivaparthipan CB, Muthu B. IoT based smart and intelligent smart city energy optimization. Sustainable Energy Technologies and Assessments. 2022 Feb 1;49:101724.

[10] Avancini DB, Rodrigues JJ, Rabêlo RA, Das AK, Kozlov S, Solic P. A new IoT‐based smart energy meter for smart grids. International Journal of Energy Research. 2021 Jan;45(1):189-202.

[11] Pawar JP, Amirthaganesh S, ArunKumar S, Kumar S. Real time energy measurement using smart meter. In2016 Online International Conference on Green Engineering and Technologies (IC-GET) 2016 Nov 19 (pp. 1-5). IEEE.

[12] Albogamy FR, Paracha MY, Hafeez G, Khan I, Murawwat S, Rukh G, Khan S, Khan MU. Real- time scheduling for optimal energy optimization in smart grid integrated with renewable energy sources. IEEE Access. 2022 Mar 23;10:35498- 520..

[13] Al-Sammak KA, Al-Gburi SH, Marghescu I, Drăgulinescu AM, Marghescu C, Martian A, Al- Sammak NA, Suciu G, Alheeti KM. Optimizing IoT Energy Efficiency: Real-Time Adaptive Algorithms for Smart Meters with LoRaWAN and NB-IoT. Energies. 2025 Feb 18;18(4):987.

[14] Ediga P, Mittal A, Rajvanshi S, Habelalmateen MI. Smart energy management: real-time prediction and optimization for IoT-enabled smart homes. Cogent Engineering. 2024 Jan 1;11(1).

[15] Nuhin MI, Shariar MA, Khan JM, Kongkon TN, Imam MH. Design of an IoT based power monitoring system model for a grid connected solar PV. International Journal of Advanced Technology and Engineering Exploration. 2022 Jul 1;9(92):923.

[16] Fallah SN, Deo RC, Shojafar M, Conti M, Shamshirband S. Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions. Energies. 2018 Mar 8;11(3):596.

[17] Ahuja K, Khosla A. Network selection criterion for ubiquitous communication provisioning in smart cities for smart energy system. Journal of Network and Computer Applications. 2019 Feb 1;127:82-91.

[18] Diamantoulakis PD, Kapinas VM, Karagiannidis GK. Big data analytics for dynamic energy management in smart grids. Big Data Research. 2015 Sep 1;2(3):94-101.

[19] Ahmed MS, Mohamed A, Khatib T, Shareef H, Homod RZ, Abd Ali J. Real time optimal schedule controller for home energy management system using new binary backtracking search algorithm. Energy and Buildings. 2017 Mar 1;138:215-27.

[20] Ageed ZS, Zeebaree SR, Sadeeq MA, Abdulrazzaq MB, Salim BW, Salih AA, Yasin HM, Ahmed AM. A state of art survey for intelligent energy monitoring systems. Asian journal of research in computer science. 2021 Apr 27;8(1):46-61.

[21] Fallah SN, Deo RC, Shojafar M, Conti M, Shamshirband S. Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions. Energies. 2018 Mar 8;11(3):596.

[22] Khalid A, Javaid N, Guizani M, Alhussein M, Aurangzeb K, Ilahi M. Towards dynamic coordination among home appliances using multi- objective energy optimization for demand side management in smart buildings. IEEE access. 2018 Jan 9;6:19509-29.

[23] Esther BP, Kumar KS. A survey on residential demand side management architecture, approaches, optimization models and methods. Renewable and Sustainable Energy Reviews. 2016 Jun 1;59:342-51.

[24] Zhao Z, Lee WC, Shin Y, Song KB. An optimal power scheduling method for demand response in home energy management system. IEEE transactions on smart grid. 2013 Jun 6;4(3):1391- 400.

[25] Qian LP, Zhang YJ, Huang J, Wu Y. Demand response management via real-time electricity price control in smart grids. IEEE Journal on Selected areas in Communications. 2013 Jun 26;31(7):1268- 80.


Regular Issue Subscription Original Research
Volume 16
Issue 01
Received 28/11/2025
Accepted 08/01/2026
Published 19/03/2026
Publication Time 111 Days


Login


My IP

PlumX Metrics