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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

An IoT-Enabled High-Frequency Smart Energy Meter with Web Based Data Management and Control

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  • An IoT-Enabled High-Frequency Smart Energy Meter with Web Based Data Management and Control

Ammar Abdussamad Umar *, Aliyu Nura Salisu, Lucky Ajidoku, Mohammad-Jamiu Babatunde Balogun and Zainal Abidina Abdulhadi 

Department of Electrical Engineering, Bayero University, Kano, Kano State, Nigeria.

Research Article

 

World Journal of Advanced Engineering Technology and Sciences, 2026, 18(01), 304-320

Article DOI: 10.30574/wjaets.2026.18.1.0041

DOI url: https://doi.org/10.30574/wjaets.2026.18.1.0041

Received on 11 December 2025; revised on 18 January 2026; accepted on 21 January 2026

The primary feature of a smart grid is the automation of processes within the entire power system. The control is not possible without an accurate data showing full demand on the grid. This paper presents the design of a high frequency smart energy meter that captures accurate energy consumption in real time utilizing the ESP32 microcontroller, MQTT communication protocol, PHP web application, and SQL database. The design enables automatic energy measurement and transmission of the measured data in real-time to a web server using the MQTT protocol, where the data is securely stored in an SQL database. The system also includes an integrated online payment platform, allowing customers to prepay their energy bills. The energy consumption data from the system can then be used in different ways such as forecasting load expansion overtime, knowing system expansion over time, and system automation.

ESP32 Microcontroller; Smart Grid; MQTT Communication Protocol; Web Management System; SQL Database; PHP

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2026-0041.pdf

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Ammar Abdussamad Umar, Aliyu Nura Salisu, Lucky Ajidoku, Mohammad-Jamiu Babatunde Balogun, Zainal Abidina Abdulhadi. An IoT-Enabled High-Frequency Smart Energy Meter with Web Based Data Management and Control. World Journal of Advanced Engineering Technology and Sciences, 2026, 18(01), 304-320. Article DOI: https://doi.org/10.30574/wjaets.2026.18.1.0041

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