Current Volume 10
Abstract
The Smart Home Energy Monitoring and Bill Forecasting System is an IoT-based intelligent energy management solution designed to monitor household power consumption in real time and predict future electricity bills using Machine Learning techniques. The system integrates IoT simulation, Fire base cloud database, web technologies, mobile application development (MAD), R programming, and machine learning algorithms to create a complete smart energy ecosystem. The IoT module continuously simulates voltage, current, power, and energy consumption data using Python. The generated sensor data is transmitted to Firebase Real time Database for cloud storage and live synchronization. Machine learning models are integrated to analyze energy usage patterns and forecast future electricity bills based on consumption history. A web dashboard and mobile application provide users with live monitoring, energy analytics, alerts, and forecast reports. The project also demonstrates practical implementation of real-time cloud communication, smart energy analytics, predictive systems, and scalable web integration. The proposed system helps users reduce unnecessary energy usage, identify abnormal power spikes, and improve energy efficiency in smart homes.
Keywords
IoT, Smart Home, Energy Monitoring, Bill Forecasting, Machine Learning, Firebase, Web Dashboard, Mobile Application, R Programming
Citations
IRE Journals:
Dr. J. Narendra Babu, Meghana Sambare, Sahana Sarawad, Ramyashree S; Ranjitha M. G, Sangeetha M ; Sandhya H "Smart Home Energy Monitoring and Bill Forecasting" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 3080-3083 https://doi.org/10.64388/IREV9I12-1719234
IEEE:
Dr. J. Narendra Babu, Meghana Sambare, Sahana Sarawad, Ramyashree S; Ranjitha M. G, Sangeetha M ; Sandhya H
"Smart Home Energy Monitoring and Bill Forecasting" Iconic Research And Engineering Journals, 9(12) https://doi.org/10.64388/IREV9I12-1719234
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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