IRO Journals
Journal of Electrical Engineering and Automation

A Cloud-Enabled IoT Smart Energy Metering System for Smart Grid Applications

Open Access
Published: 04 August, 2026
Pages: 233-245
  • Ravindra G. , Ravindra G.
    Associate Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
    Associate Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
  • Pavalam J. , Pavalam J.
    Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
    Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
  • Ramesh S. , Ramesh S.
    Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
    Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
  • Hemalatha A.M. Hemalatha A.M.
    Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
    Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India
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How to Cite

G., Ravindra, Pavalam J., Ramesh S., and Hemalatha A.M. 2026. “A Cloud-Enabled IoT Smart Energy Metering System for Smart Grid Applications”. Journal of Electrical Engineering and Automation 8 (3): 233-45. https://doi.org/10.36548/jeea.2026.3.006.
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Keywords

ESP32 Microcontroller
Smart Grid Infrastructure
IoT-Based Energy Metering
Cloud-Based Energy Monitoring
Real-Time Power Measurement
Wireless Energy Management

Abstract

The existing energy metering systems lack real-time monitoring capabilities as well as cloud-based access. Smart grid technology helps in increasing energy efficiency and reliability of electrical power systems. This research work intends to design and develop an IoT-based smart energy metering system for real-time monitoring and visualization. The proposed system encompasses ESP32 microcontroller integrated with ZMPT101B voltage sensor and SCT-013 current sensors. However, the collected data is then processed using the EmonLib library in order to evaluate voltage, current, power, power factor, and energy consumption. The processed information is later sent to the Blynk cloud using Wi-Fi technology. As a result of the performed experimental tests, voltage, current, power, and energy consumption measurement errors has not exceeded 0.80%, 4.55%, 4.00%, and 2.06%, respectively.

References

  1. El-Khozondar, Hala Jarallah, Shady Y. Mtair, Khaled O. Qoffa, Omer I. Qasem, Ahmad H. Munyarawi, Yasser F. Nassar, Ehab HE Bayoumi, and Ahmed Abd El Baset Abd El. "A Smart Energy Monitoring System Using ESP32 Microcontroller." e-Prime-Advances in Electrical Engineering, Electronics and Energy 2024, vol 9: 100666.
  2. Garcés, Hugo O., Julio Godoy, Giorgio Riffo, Neil F. Sepúlveda, Eduardo Espinosa, and Mohamed A. Ahmed. "Development of an IoT-Enabled Smart Electricity Meter for Real-Time Energy Monitoring and Efficiency." Electronics 2025, vol 14, no. 6: 1173.
  3. Çolak, Mustafa Alper, and Cüneyt Bayılmış. "Internet of Things-Based Energy Consumption-Aware Framework Design for Smart Grid Environment." Sensors, 2026, vol. 26, no. 10: 2989-2989.
  4. Koukouvinos, Konstantinos G., George K. Koukouvinos, Pavlos Chalkiadakis, Stavrοs D. Kaminaris, Vasilios A. Orfanos, and Dimitrios Rimpas. "Evaluating the Performance of Smart Meters: Insights into Energy Management, Dynamic Pricing and Consumer Behavior." Applied Sciences, 2025, vol. 15, no. 2: 960.
  5. Etemesi, Ambuli BR, Tamer F. Megahed, Haruichi Kanaya, and Diaa-Eldin A. Mansour. "IoT based Energy Management of Smart Microgrid Considering Electric Vehicle Integration." Energy, 2025, vol. 329: 136405.
  6. Ismail, Nabil A., Shaimaa M. Abu Khadra, Gamal M. Attiya, and Salah Eldin SE Abdulrahman. "Secure and Sustainable Smart Home Networks with Blockchain-Based IoT Framework for Privacy and Energy Efficiency." Discover Internet of Things, vol. 6, no. 1: 58.
  7. Abdul Salam, Rashiqa, Naeem Iqbal Ratyal, Ubaid Ahmed, Imran Aziz, Muhammad Sajid, and Anzar Mahmood. "An Overview of Recent Wireless Technologies for IoT‐Enabled Smart Grids." Journal of Electrical and Computer Engineering 2024, no. 1 (2024): 2568751.
  8. Al-Mashhadani, Sarmad Waleed Taha, and Sefer Kurnaz. "A Novel Function of a Research Process Based on a Power Internet of Things Architecture Intended for Smart Grid Demand Schemes." Applied Sciences, 2024, vol. 14, no. 13: 5799.
  9. Munoz, Omar, Adolfo Ruelas, Pedro F. Rosales-Escobedo, Alexis Acuña, Alejandro Suastegui, Fernando Lara, Ruben A. Reyes-Zamora, and Angel Rocha. "Development of an IoT Smart Energy Meter with Power Quality Features for a Smart Grid Architecture." Sustainable Computing: Informatics and Systems, 2024, vol. 43: 100990.
  10. Mohamed, Azza, Ibrahim Ismail, and Mohammed AlDaraawi. "IoT-Driven Intelligent Energy Management: Leveraging Smart Monitoring Applications and Artificial Neural Networks (ANN) for Sustainable Practices." Computers, 2025, vol. 14, no. 7: 269.