IoT-Based Electricity Theft Detection System
Priyanka Ashok Bhoite1, Yuvraj K. Kanse2, Supriya P. Salave3
1Priyanka Ashok Bhoite, Department of E&TC Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
2Dr. Yuvraj K. Kanse, Associate Professor, Department of Electronics Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
3Dr. Supriya P. Salave, Assistant Professor, Department of Electronics Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
Manuscript received on 04 May 2025 | First Revised Manuscript received on 08 May 2025 | Second Revised Manuscript received on 11 May 2025 | Manuscript Accepted on 15 June 2025 | Manuscript published on 30 June 2025 | PP: 30-35 | Volume-14 Issue-7, June 2025 | Retrieval Number: 100.1/ijitee.E466114050625 | DOI: 10.35940/ijitee.E4661.14070625
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Globally, energy sectors face the problem of electricity theft, which causes substantial financial losses, inefficiencies, and unpredictability in the energy supply. It involves the unauthorized use of electrical power through various means such as tampering with meters, bypassing meters, tapping directly into power lines, or manipulating billing mechanisms. Analyze here the performance of the proposed IoTbased system for detecting electricity theft. Show the outcomes of the alert system performance. False Positive Rate (FPR): The proportion of legitimate transactions incorrectly identified as theft. False Negative Rate (FNR): The proportion of theft events that were missed by the system. The IoT-based electricity theft detection system is quite efficient. The system’s high accuracy, precision, and recall indicate its capacity to identify and stop electricity theft effectively.
Keywords: Internet of Things, Electricity Theft, Meter Bypassing, Wi-Fi, Current Sensors
Scope of the Article: Recent Engineering & Technology