Published on: May 2026
AI-BASED SMART POWER GRID FAULT DETECTION & STABILITY PREDICTION
Sanvi Kaushik Rose Bhardwaj Sanjusha Setti Bellala Srushti Sunil
Dr. Savitha G
Article Status
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Abstract
Keywords: Smart Grid Stability, Fault Detection, Machine Learning, Artificial Intelligence, Power System Reliability
How to Cite this Paper
Kaushik, S., Bhardwaj, R., Bellala, S. S. & Sunil, S. (2026). AI-Based Smart Power Grid Fault Detection & Stability Prediction. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.573
Kaushik, Sanvi, et al.. "AI-Based Smart Power Grid Fault Detection & Stability Prediction." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.573.
Kaushik, Sanvi,Rose Bhardwaj,Sanjusha Bellala, and Srushti Sunil. "AI-Based Smart Power Grid Fault Detection & Stability Prediction." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.573.
References
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[4] A. Choudhary and A. Pathania, “Artificial Intelligence and Optimization Techniques for Intelligent Power Systems: Fault Detection, Energy Management and Grid Stability,” International Research Journal of Engineering and Technology (IRJET), vol. 12, no. 6, pp. 179–186, 2025.
[5]V. K. Hariharan, A. Geetha, F. Granelli, and M. G. Nair, “Machine learning techniques for fault detection in smart distribution grids,” Energies, vol. 18, no. 19, p. 5179, 2025.
[6]C. Moya, S. Zhang, G. Lin, and M. Yue, “DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid’spost-faulttrajectories,” Neurocomputing, vol. 535, pp. 166–182, May2023,doi: 10.1016/j.neucom.2023.03.015.
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- •Published on: May 19 2026
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