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Paper ID:IJSREM68387

IOT-ENABLED INTELLIGENT POWER QUALITY MONITORING AND ENERGY MANAGEMENT FRAMEWORK

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68387

Volume:

10 |

10 |

Oct 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68387

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Balasundar B

Balasundar B

Electronics and Communication Engineering

K. Ramakrishnan College of Technology

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Gurusaeth B

Gurusaeth B

Electronics and Communication Engineering

K. Ramakrishnan College of Technology

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Dharanidharan A

Dharanidharan A

Electronics and Communication Engineering

K. Ramakrishnan College of Technology

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Hariharan A

Hariharan A

Electronics and Communication Engineering

K. Ramakrishnan College of Technology

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Mentors

P Mani

P Mani

Electronics and Communication Engineering

K. Ramakrishnan College of Technology

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Abstract

Electrical energy monitoring is important for understanding consumption patterns and supporting efficient energy management. This paper presents an Intelligent Power Quality Monitoring Device using an ESP32 microcontroller and a PZEM-004T-100A-D-P V1.0 power monitoring module with a current transformer (CT). The system is designed to measure voltage, current, active power, energy consumption, frequency and power factor. The ESP32 processes the readings and transmits them through Wi-Fi to Firebase Cloud, where the data can be accessed through a custom web dashboard. The dashboard supports remote viewing, historical energy analysis, estimated electricity cost, configured alerts, multi-machine monitoring and automatic reports. A relay module provides programmed load-switching capability, while an LCD may be included for local display. The prototype combines electrical measurement, embedded processing, wireless communication, cloud storage and web visualisation. Further quantitative testing against reference instruments is required to establish measurement accuracy and communication performance.

KEYWORDS

ESP32 Microcontroller PZEM-004T Current Transformer (CT) Internet of Things (IoT) Firebase Cloud Energy Monitoring Web Dashboard

Cite This Article

Balasundar B, Gurusaeth B, Dharanidharan A, Hariharan A, P Mani, "IOT-ENABLED INTELLIGENT POWER QUALITY MONITORING AND ENERGY MANAGEMENT FRAMEWORK," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-6, Oct 2026. https://doi.org/10.55041/IJSREM68387

Full Article/Conclusion

The proposed framework is IoT-Enabled Intelligent Power Quality Monitoring and Energy Management Framework which consists of ESP32 microcontroller and PZEM-004T measurement module to monitor electrical parameters like voltage, current, active power, energy consumption, frequency and power factor. The system wirelessly sends the readings to Firebase Cloud and shows it on a web dashboard. This integration allows to remotely monitor the electrical value, to consult the energy use, and to see the changes in operating conditions. The framework also facilitates the calculation of estimated electricity costs, configure alerts and relay-based load control, offering a practical solution to enhance energy awareness and monitoring convenience.The web dashboard offers a unified display of both ongoing readings and historical data, along with graphical displays, without the need for a separate display for remote monitoring. The integration of embedded processing, wireless communication, and cloud storage and web technologies provide a flexible base platform to support energy monitoring in educational facilities, laboratories, and small-scale industry. Further enhancements may involve better historic data analysis, automatic report generation, and mobile capable monitoring, along with adding greater alert capabilities and providing support for other types of monitoring units. Additional experimental testing is needed to assess the accuracy of the measurement, communication reliability, the response time for the dashboard and overall system performance in various load conditions. The proposed framework has the potential to facilitate effective energy management, but it should not be used as a substitute for certified electrical protection equipment and/or specialist power quality analysers where they are required.

References

[1] Nguyen, T. B., & Nguyen, T. C. (2023). Design and fabrication of an IoT-based smart electrical meter for residential energy management. Indonesian Journal of Electrical Engineering and Computer Science, 30(3), 1259–1268. [2] Smart energy meter design with notifications and over-electric energy consumption cut-off with ESP32 MCU node using the Blynk IoT application. (2023). In Proceedings of the 7th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM). IEEE. [3] IoT-enabled energy consumption monitoring and control system for a single-phase building. (2023). In Proceedings of the 2nd International Conference on Advances in Computational Intelligence and Communication (ICACIC). IEEE. [4] Cardenas Magaña, J. A., Mojica Magaña, A., & Hernández López, F. M. (2026). Experimental validation of a low-cost IoT-based residential electrical monitoring system using ESP32 and PZEM-004T. International Journal of Electrical and Computer Engineering Research. [5] International Electrotechnical Commission. (2021). IEC 61557-12: Electrical safety in low voltage distribution systems—Equipment for testing, measuring or monitoring of protective measures—Part 12: Power metering and monitoring devices (PMD). IEC. [6] International Organization for Standardization. (2018). ISO 50001: Energy management systems—Requirements with guidance for use. ISO. [7] International Electrotechnical Commission. (2015). IEC 61000-4-30: Electromagnetic compatibility (EMC)—Part 4-30: Testing and measurement techniques—Power quality measurement methods. IEC. [8] P. S. Padmanaban, S. Kalaiarasu, and M. Periyasamy, “Enhanced Intelligent Crowd Control and Hazard Prevention System for Religious Places Using IoT,” JERAS, vol. 15, no. 1, pp. 113–119, Jun. 2026. [9] M. Periyasamy, N. Lakshmanan, S. S. Musthafa, and V. Ravichandran, “IoT-Based Intelligent Beehive Monitoring System Using Acoustic and Environmental Analytics,” JERAS, vol. 15, no. 1, pp. 141–148, Jun. 2026. [10] Rusti, R. D., Fatmawati, U. D., & Takwa, R. (2026). Sistem monitoring energi listrik rumah tangga berbasis IoT menggunakan sensor PZEM-004T dan ESP32. Jurnal Teknologi Elektro, 17(3).

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Publication Date

10/27/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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