International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

Smart Energy Monitoring and Alert System

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Published 12 April 2026
Updated 12 April 2026

Smart Energy Monitoring and Alert System

 

 

Alluri Priyanka
Department of Electronics andcommunication EngineeringAnnamacharya institute of
technology and SciencesTirupati,Indiapriyanka123aluru@gmail.com
Peram Durga Bhavani
Department of Electronics andcommunication EngineeringAnnamacharya institute of
technology and SciencesTirupati,Indiabhavanireddy000111@gmail.com
Chikkala Navya
Department of Electronics andcommunication EngineeringAnnamacharya institute of
technology and SciencesTirupati,Indiachikkalanavya7@gmail.com
Kummara Yugandar
Department of Electronics andcommunication EngineeringAnnamacharya institute of
technology and SciencesTirupati,Indiayugandarkummari@gmail.com

Yallapalli Thanuja
Department of Electronics andcommunication EngineeringAnnamacharya institute of
technology and SciencesTirupati,Indiathanujagoud1435@gmail.com

 

 

 

 

Abstract-In the current era of rapid urbanization and digital transformation, the efficient use of electrical energy has become an essential factor in promoting sustainable living and industrial development. The Intelligent Energy Meter with Alerting System using Arduino Uno and IoT technology is designed to provide users with real-time monitoring, control, and management of electrical power consumption. The proposed system continuously measures the power usage of household or industrial appliances and transmits the data to an IoT-based cloud platform for analysis, visualization, and reporting. The Arduino Uno serves as the central processing unit that collects data from voltage and current sensors such as the ACS712current sensor and a voltage divider circuit, calculates the power consumption, and communicates with an IoT Wi-Fi module (ESP8266) to upload the data online. When the energy usage exceeds a predefined threshold, the system automaticallygenerates alerts to the user through IoT-based notifications or buzzer indications. This threshold-based cost management mechanism helps prevent unnecessary energy wastage and high electricity bills. The system can also control or automate appliances based on user-defined parameters, thereby improving energy efficiency. Furthermore, users can remotely access detailed energy consumption analytics through the IoT platform, which provides insights into load patterns, daily or monthly usage reports, and anomaly detection. Overall, the proposedsystem enables proactive energy management, encourages conservation, and contributes to the vision of smart homes and smart grids. It represents an economical and scalable solution adaptable to both residential and industrial environments.

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