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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60139

Smart Energy Monitoring System with Overload Detection and ThingSpeak Cloud

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60139

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60139

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

MBN

M. Balaji Nayak

AS

Ayesha Sultana

NVN

Nambula Venkata Naveen

KN

Kadavakollu Nagesh

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Abstract

The increasing demand for electricity requires efficient monitoring and management of energy consumption to prevent overload conditions and improve energy utilization. This project proposes a Smart Energy Meter with Overload Alert and IoT Monitoring System using Arduino Uno, ESP32, and renewable solar power support. The system is designed to monitor electrical parameters such as AC voltage and current in real time and provide alerts before overload conditions occur. In this system, an AC voltage sensor and current sensor are used to measure the electrical parameters of the connected load. The Arduino Uno processes the sensor data and calculates the power consumption. The measured voltage and current values are displayed on an LCD display for real-time monitoring. The system also includes a buzzer alert mechanism that activates when the power consumption approaches a predefined overload limit. If the load exceeds the safe limit, a relay module automatically disconnects the load to protect electrical devices. For remote monitoring, the system integrates an ESP32 Wi-Fi module that sends electrical data to the ThingSpeak cloud platform for real-time visualization. Additionally, the system sends instant Telegram alert notifications to the user when abnormal conditions or overload warnings are detected. The system is solar-powered, using a solar panel, charge controller, and battery storage for sustainable operation.

KEYWORDS

Smart Energy Meter IoT ThingSpeak Overload Detection Solar Power Arduino ESP32

Cite This Article

M. Balaji Nayak, Ayesha Sultana, Nambula Venkata Naveen, Kadavakollu Nagesh, "Smart Energy Monitoring System with Overload Detection and ThingSpeak Cloud," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60139

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Publication Date

4/14/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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