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

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Authors: Ammar Abdussamad Umar, Aliyu Nura Salisu, Lucky Ajidoku, Mohammad-Jamiu Babatunde Balogun, Zainal Abidina Abdulhadi
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Smart Grid Energy Management Arduino and IoT Applications Smart Grid and Power Systems

Publication details

Journal / source
World Journal of Advanced Engineering Technology and Sciences
Volume
18
Issue
1
Pages
304–320
Publication date
26 January 2026