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Iot-Based Power Theft Detector
Authors
1234B. tech, Department of Information Technology, CMR Engineering College, Hyderabad, Telangana, India. 5Assistant Professor, Department of Information Technology, CMR Engineering College, Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 6, Issue 1 (2025)
- Published Online
- January-February 2025
- Pages
- 01-06
- Article Type
- Original Article
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References
1. A. Althobaiti, C. Rotsos and A. K. Marnerides, "Adaptive Energy Theft Detection in Smart Grids Using Self-Learning With Dual
Neural Network," in IEEE Transactions on Industrial Informatics, vol. 20, no. 2, pp. 2776-2786, Feb. 2024, doi:
10.1109/TII.2023.3297588.
2. M. Muhammad et al., "IoT-Based Smart Meter with Energy Theft Detection," 2023 2nd International Conference on Smart Cities
4.0, Cairo, Egypt, 2023, pp. 111-114,doi: 10.1109/SmartCities4.056956.2023.10525848.
3. P. Sawat, A. Tandale, H. Upadhye, O. Takale, R. Mirajkar and P. Shelke, "Power Theft and Energy Fraud Detection," 2023 7th
International Conference On Computing, Communication, Control And Automation (ICCUBEA), Pune, India, 2023, pp. 1-7, doi:
10.1109/ICCUBEA58933.2023.10392260.
4. X. Xia et al., "ETD-ConvLSTM: A Deep Learning Approach for Electricity Theft Detection in Smart Grids," in IEEE Transactions
on Information Forensics and Security, vol. 18, pp. 2553-2568, 2023, doi: 10.1109/TIFS.2023.3265884.
5. A. T. El-Toukhy, M. M. Badr, M. M. E. A. Mahmoud, G. Srivastava, M. M. Fouda and M. Alsabaan, "Electricity Theft Detection
Using Deep Reinforcement Learning in Smart Power Grids," in IEEE Access, vol. 11,pp.59558-59574,2023,doi:
10.1109/ACCESS.2023.3284681.
6. X. Xia, Y. Xiao, W. Liang and J. Cui, "Detection Methods in Smart Meters for Electricity Thefts: A Survey," in Proceedings of the
IEEE, vol. 110, no. 2, pp. 273-319,Feb,2022,doi: 10.1109/JPROC.2021.3139754.
7. L. J. Lepolesa, S. Achari and L. Cheng, "Electricity Theft Detection in Smart Grids Based on Deep Neural Network," in IEEE Access,
vol. 10, pp. 39638-39655, 2022, doi: 10.1109/ACCESS.2022.3166146.
8. R. and K. V., "IoT Based Smart Energy Theft Detection and Monitoring System for Smart Home," 2020 International Conference on
System, Computation, Automation and Networking (ICSCAN), Pondicherry, India,2020,pp.1-6,doi:
10.1109/ICSCAN49426.2020.9262411.
9. M. J. Jeffin, G. M. Madhu, A. Rao, G. Singh and C. Vyjayanthi, "Internet of Things Enabled Power Theft Detection and Smart Meter
Monitoring System," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp.
0262-0267, doi: 10.1109/ICCSP48568.2020.9182144.
10. W. Li, T. Logenthiran, V. -T. Phan and W. L. Woo, "A Novel Smart Energy Theft System (SETS) for IoT-Based Smart Home," in
IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5531-5539, June 2019, doi: 10.1109/JIOT.2019.2903281.
Neural Network," in IEEE Transactions on Industrial Informatics, vol. 20, no. 2, pp. 2776-2786, Feb. 2024, doi:
10.1109/TII.2023.3297588.
2. M. Muhammad et al., "IoT-Based Smart Meter with Energy Theft Detection," 2023 2nd International Conference on Smart Cities
4.0, Cairo, Egypt, 2023, pp. 111-114,doi: 10.1109/SmartCities4.056956.2023.10525848.
3. P. Sawat, A. Tandale, H. Upadhye, O. Takale, R. Mirajkar and P. Shelke, "Power Theft and Energy Fraud Detection," 2023 7th
International Conference On Computing, Communication, Control And Automation (ICCUBEA), Pune, India, 2023, pp. 1-7, doi:
10.1109/ICCUBEA58933.2023.10392260.
4. X. Xia et al., "ETD-ConvLSTM: A Deep Learning Approach for Electricity Theft Detection in Smart Grids," in IEEE Transactions
on Information Forensics and Security, vol. 18, pp. 2553-2568, 2023, doi: 10.1109/TIFS.2023.3265884.
5. A. T. El-Toukhy, M. M. Badr, M. M. E. A. Mahmoud, G. Srivastava, M. M. Fouda and M. Alsabaan, "Electricity Theft Detection
Using Deep Reinforcement Learning in Smart Power Grids," in IEEE Access, vol. 11,pp.59558-59574,2023,doi:
10.1109/ACCESS.2023.3284681.
6. X. Xia, Y. Xiao, W. Liang and J. Cui, "Detection Methods in Smart Meters for Electricity Thefts: A Survey," in Proceedings of the
IEEE, vol. 110, no. 2, pp. 273-319,Feb,2022,doi: 10.1109/JPROC.2021.3139754.
7. L. J. Lepolesa, S. Achari and L. Cheng, "Electricity Theft Detection in Smart Grids Based on Deep Neural Network," in IEEE Access,
vol. 10, pp. 39638-39655, 2022, doi: 10.1109/ACCESS.2022.3166146.
8. R. and K. V., "IoT Based Smart Energy Theft Detection and Monitoring System for Smart Home," 2020 International Conference on
System, Computation, Automation and Networking (ICSCAN), Pondicherry, India,2020,pp.1-6,doi:
10.1109/ICSCAN49426.2020.9262411.
9. M. J. Jeffin, G. M. Madhu, A. Rao, G. Singh and C. Vyjayanthi, "Internet of Things Enabled Power Theft Detection and Smart Meter
Monitoring System," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp.
0262-0267, doi: 10.1109/ICCSP48568.2020.9182144.
10. W. Li, T. Logenthiran, V. -T. Phan and W. L. Woo, "A Novel Smart Energy Theft System (SETS) for IoT-Based Smart Home," in
IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5531-5539, June 2019, doi: 10.1109/JIOT.2019.2903281.
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