Authors :
Tanushreee; Sahana C. U.; Pavithra K. G.; Pragathi G.
Volume/Issue :
Volume 11 - 2026, Issue 3 - March
Google Scholar :
https://tinyurl.com/5r3jykj3
Scribd :
https://tinyurl.com/bde4u2yr
DOI :
https://doi.org/10.38124/ijisrt/26mar084
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Electricity theft remains a major issue in the power sector, causing huge financial losses and affecting the efficiency
of energy distribution. To address this problem, this project proposes a Smart Energy Theft Detection and Reporting System
using NodeMCU (ESP8266) and the Internet of Things (IoT). The system employs an ACS712 current sensor to measure
current consumption and compare it with the expected load. When any abnormal or unauthorized usage is detected, the
microcontroller identifies it as a theft condition and automatically operates a relay to disconnect the power supply.
Simultaneously, the status is updated on a web server through Wi-Fi, enabling remote and real-time monitoring by
authorities. This automated approach reduces human intervention, improves transparency, and ensures reliable energy
management. The proposed system thus provides an efficient, low-cost, and scalable solution for controlling power theft in
modern smart grids.
Keywords :
Power Theft Prevention, Intelligent Energy Tracking, IoT-Based Monitoring System, NodeMCU Module.
References :
- M. H. Rashid, Power Electronics: Circuits, Devices and Applications, 3rd ed. Pearson Education, 2013.
- R. L. Boylestad and L. Nashelsky, Electronic Devices and Circuit Theory, 11th ed. Prentice Hall, 2015.
- M. Singh and A. Rai, “Smart Energy Theft Detection System using IoT,” International Journal of Engineering Research & Technology (IJERT), vol. 10, no. 6, 2021.
- K. Chavda and A. Patel, “Electricity Theft Detection Using IoT and Smart Metering,” International Journal of Scientific Research in Engineering and Management, 2020.
- S. Rani and P. Kumar, “IoT-Based Real-Time Monitoring System Using NodeMCU,” International Journal of Innovations in Engineering and Technology, 2022.
- Allegro Microsystems, ACS712 Fully Integrated, Hall-Effect-Based Linear Current Sensor IC Datasheet.
Electricity theft remains a major issue in the power sector, causing huge financial losses and affecting the efficiency
of energy distribution. To address this problem, this project proposes a Smart Energy Theft Detection and Reporting System
using NodeMCU (ESP8266) and the Internet of Things (IoT). The system employs an ACS712 current sensor to measure
current consumption and compare it with the expected load. When any abnormal or unauthorized usage is detected, the
microcontroller identifies it as a theft condition and automatically operates a relay to disconnect the power supply.
Simultaneously, the status is updated on a web server through Wi-Fi, enabling remote and real-time monitoring by
authorities. This automated approach reduces human intervention, improves transparency, and ensures reliable energy
management. The proposed system thus provides an efficient, low-cost, and scalable solution for controlling power theft in
modern smart grids.
Keywords :
Power Theft Prevention, Intelligent Energy Tracking, IoT-Based Monitoring System, NodeMCU Module.
