Authors : Rakshitha K.; Prakash O. S.; Dr. Girish Kumar D.

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/2hrymdmz

Scribd : https://tinyurl.com/y9sde2hf

DOI : https://doi.org/10.38124/ijisrt/26apr2321

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

Abstract : Energy consumption in residential environments is increasing rapidly due to the continuous use of electrical appliances and modern lifestyle habits. Traditional energy meters provide only overall consumption readings and do not offer real-time monitoring or control capabilities, which often leads to inefficient energy usage and higher electricity bills. To overcome these limitations, this paper presents a Smart Home Energy Optimizer based on Internet of Things (IoT) technology combined with dynamic pricing techniques. The system continuously monitor svoltage, current, andpower consumption using sensors and processes the data through a microcontroller. The collected data is transmitted to a cloud platform where it can be stored and analyzed. Users can access this information through a mobile application and control appliances remotely. The system also generates alert notifications during low-load conditions, helping users make better decisions about energy usage. The dynamic pricing mechanism calculates cost based on power consumption levels, encouraging efficient usage. Experimental results indicate improved energy efficiency and reduced electricity costs. The proposed system is affordable, scalable, and suitable for modern smart homes.

Keywords : IoT, Smart Home, Energy Optimization, ESP8266.

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