Published June 30, 2025
| Version CC-BY-NC-ND 4.0
Journal article
Open
IoT-Based Electricity Theft Detection System
Authors/Creators
- 1. Assistant Professor, Department of Electronics Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
Contributors
Contact person:
Researchers:
- 1. Department of E&TC Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
- 2. Associate Professor, Department of Electronics Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
- 3. Assistant Professor, Department of Electronics Engineering, K.B.P.C.O.E., Satara (Maharashtra), India.
Description
Abstracts: 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 IoT-based 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 demonstrate its ability to identify and prevent electricity theft effectively.
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Additional details
Identifiers
- DOI
- 10.35940/ijitee.E4661.14070625
- EISSN
- 2278-3075
Dates
- Accepted
-
2025-06-15Manuscript 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.
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