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@article{175613,
        author = {Mr.A.M.Rangaraj and Chintakuntla Sharif and REDDYVARI THARUN KUMAR and Mejari Malleeswara},
        title = {IoT-Based Embedded Energy Management System with Predictive Analytics and Mobile Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3804-3813},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175613},
        abstract = {The increasing global focus on sustainable and energy-efficient practices has spurred the development of advanced technologies to optimize energy consumption in both residential and commercial environments. Embedded systems integrated with the Internet of Things (IoT) offer a promising solution for intelligent energy management. This project aims to design and implement an IoT-based energy management system using Arduino Uno, ACS712 current sensors, and AC voltage sensors to monitor and analyze energy usage patterns in real-time. Sensor data is transmitted to an IoT cloud platform, where it is processed and analyzed using machine learning algorithms to predict future energy requirements. Notifications regarding energy usage trends and optimization strategies are sent to a mobile application, which also serves as a control interface for managing connected devices. The system provides users with actionable insights and remote-control capabilities, contributing to reduced energy consumption, lower operational costs, and a more sustainable future.},
        keywords = {},
        month = {April},
        }