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@article{190146,
        author = {Veena Chidanand Badiger and Shreya K R and Satish and Chirag H K S and B R Renukumar},
        title = {SMART ELECTRIC METER SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2184-2188},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190146},
        abstract = {The demand for electricity has grown rapidly through residential, commercial, and industrial sectors, and thus efficient energy monitoring and management have become necessary. Classic energy meters rely on a manual reading mechanism. This gives very restricted views regarding real-time consumption and leads to delays in billing, costliness of operation, and inefficient usage of energy. In this paper, we go through the design and implementation of an IoT- and AI-based Smart Electric Meter System for these listed limitations.
The system is equipped with an Arduino-based energy metering unit and an ESP32 communication module for continuous voltage and current parameter measurement. The measured data is wirelessly sent to a cloud-based server for real-time visualization and storage. Basic monitoring in the system will be extended with AI-based load forecasting and load classification techniques to predict future energy demand and appliance-level usage patterns. A web-based dashboard will provide the user with real-time insights, historical consumption trends, predicted energy usage, and automated billing information.
Experimental results ensure reliable real-time data transmission, accurate energy measurement, and meaningful prediction performance under normal household load conditions. The system improves energy awareness, supports demand-side management, and encourages sustainable electricity usage. This solution is scalable and can be extended towards smart home, commercial building, and smart grid environments.},
        keywords = {Smart Electric Meter, IoT, Load Forecasting, Energy Monitoring, and Artificial Intelligence},
        month = {January},
        }