Authors : Sangam Chettri; Bindiya Rai; Raj Manger; Dubo Tshering Bhutia; Shristhi Shrestha

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/r87hsfd5

Scribd : https://tinyurl.com/y9us8sbc

DOI : https://doi.org/10.38124/ijisrt/26May1829

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The rapid rise in electrical energy consumption and the need for efficient power use have made real-time energy monitoring and smart load management necessary. This paper explains the design and implementation of a smart energy monitoring and load scheduling system that uses IoT and GSM technology. The goal is to improve energy efficiency and cut down on power waste. The system continuously measures electrical parameters like voltage, current, power, and energy using digital energy sensors connected to a microcontroller. It sends the collected data to a cloud platform via IoT for real-time viewing and analysis. A GSM module is also included to provide remote access and alerts in areas with limited internet. Load scheduling is managed by controlling connected appliances through relay modules based on set time schedules and priority levels. This allows for automatic load management during busy and quiet hours, ensuring the best use of electrical energy. Users can monitor their consumption patterns from afar and take actions to reduce unnecessary use. Experimental results show that this system provides reliable monitoring, effective communication, and efficient load control with low cost and low power needs. This solution can be used in homes, businesses, and small industrial settings to encourage energy conservation.

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