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@article{194101,
        author = {Selvarathinam S and Swathimanikandan and Sanjay B},
        title = {Smart Energy Meter For Usage Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2347-2350},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194101},
        abstract = {Electricity consumption has increased significantly due to the rapid growth of electrical appliances in modern households. Traditional electricity meters only display the total number of units consumed and do not provide insights into electricity usage patterns. Because of this limitation, users cannot effectively monitor or manage their energy consumption. This paper presents a Smart Energy Meter for usage prediction that analyzes electricity consumption data to understand energy usage behavior and identify consumption trends. The system processes historical electricity consumption data and performs data preprocessing and analysis to study energy usage patterns. The analyzed results are presented through graphical visualization, allowing users to easily understand electricity consumption trends. The proposed system helps users monitor electricity usage, identify unusual consumption patterns, and make better decisions for efficient energy management.},
        keywords = {Smart Energy Meter, Energy Monitoring, Energy Consumption Prediction, Consumption Pattern Analysis, Energy Analytics.},
        month = {March},
        }