CFP last date
20 July 2026
Reseach Article

A Cost-Effective IoT Framework for Real-Time Electrical Energy Monitoring and Web-based Visualization

by Phi Van Lam, Nguyen Tran Phuoc Dung, Do Thi Thu Mai, Tran Thi Lan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 116
Year of Publication: 2026
Authors: Phi Van Lam, Nguyen Tran Phuoc Dung, Do Thi Thu Mai, Tran Thi Lan
10.5120/ijca71aefce37be1

Phi Van Lam, Nguyen Tran Phuoc Dung, Do Thi Thu Mai, Tran Thi Lan . A Cost-Effective IoT Framework for Real-Time Electrical Energy Monitoring and Web-based Visualization. International Journal of Computer Applications. 187, 116 ( Jun 2026), 1-6. DOI=10.5120/ijca71aefce37be1

@article{ 10.5120/ijca71aefce37be1,
author = { Phi Van Lam, Nguyen Tran Phuoc Dung, Do Thi Thu Mai, Tran Thi Lan },
title = { A Cost-Effective IoT Framework for Real-Time Electrical Energy Monitoring and Web-based Visualization },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2026 },
volume = { 187 },
number = { 116 },
month = { Jun },
year = { 2026 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number116/a-cost-effective-iot-framework-for-real-time-electrical-energy-monitoring-and-web-based-visualization/ },
doi = { 10.5120/ijca71aefce37be1 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-06-25T12:52:25.802747+05:30
%A Phi Van Lam
%A Nguyen Tran Phuoc Dung
%A Do Thi Thu Mai
%A Tran Thi Lan
%T A Cost-Effective IoT Framework for Real-Time Electrical Energy Monitoring and Web-based Visualization
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 116
%P 1-6
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the design and development of an ultracompact, cost-effective smart energy monitoring framework utilizing the ESP32 Super Mini microcontroller (equipped with an OLED display) and the PZEM-004T module. While many existing solutions rely on heavy computational models or complex decentralized networks, the proposed system emphasizes accessibility and practical domestic deployment. It accurately measures critical electrical parameters—voltage, current, active power, energy consumption, frequency, and power factor—and synchronizes them instantaneously to a Firebase cloud database while displaying realtime status locally. A lightweight, web-based interface allows users to remotely track power usage and historical trends across any internet-connected device without requiring dedicated applications. Experimental benchmarking against commercial meters confirms the system’s high precision, demonstrating its viability as an efficient, low-barrier solution for everyday household energy management.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Internet of Things (IoT) Energy Monitoring System Smart Energy Management Real-Time Monitoring Web-Based Monitoring