IoT-Based Smart Energy Monitoring System with Real-Time Theft Detection, ML Anomaly Analysis and Fault Protection

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{200773,
        author = {Om V. Warade and Prof. Nanda Y. Mhaisagar and Trishul S. Sarode and Shruti R. Dikey and Tanuja N. Nemade},
        title = {IoT-Based Smart Energy Monitoring System with Real-Time Theft Detection, ML Anomaly Analysis and Fault Protection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {3135-3139},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200773},
        abstract = {},
        keywords = {IoT, energy monitoring, electricity theft detection, ACS712, ZMPT101B, Arduino UNO, ESP32, MQTT, Z-score anomaly detection, Sinric Pro, Telegram, kWh metering, relay protection, smart grid.},
        month = {May},
        }

Cite This Article

Warade, O. V., & Mhaisagar, P. N. Y., & Sarode, T. S., & Dikey, S. R., & Nemade, T. N. (2026). IoT-Based Smart Energy Monitoring System with Real-Time Theft Detection, ML Anomaly Analysis and Fault Protection. International Journal of Innovative Research in Technology (IJIRT), 12(12), 3135–3139.

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