IOT-Enabled Electrical Consumption Tracking for Intelligent Energy Saving

The growing demand for electrical energy and the drawbacks of traditional metering systems show the need for smarter, automated, and real-time power monitoring solutions. Regular meters depend on manual readings, offer little transparency, and do not show how or when energy is being used, which often leads to inefficient consumption and billing errors. This paper introduces an IoT-based Smart Power Monitoring System that continuously measures voltage, current, and overall energy usage through built-in sensors and a microcontroller. The collected data is sent to the cloud through a NodeMCU Wi-Fi module, allowing users to view their usage in real time on a mobile or web dashboard. The system also studies the electrical patterns of appliances to identify which devices are consuming power. This helps users understand device-wise consumption, spot appliances that draw excessive energy, and adjust their usage accordingly. Machine learning is used to analyze past data and forecast future electricity requirements. The system increases user awareness, reduces unnecessary energy consumption, and provides alerts when abnormal usage is detected. Experimental results show that it delivers clearer insights, more accurate measurements, convenient remote monitoring, and improved appliance-level details compared to traditional meters. This solution supports the development of smart grids and promotes efficient energy usage in both home and industrial settings.