Advanced AI-driven techniques for fault and transient analysis in high-voltage power systems
Abdul Aziz(Tianjin University), Євген Зайцев(Institute of Electrodynamics), Wajid Khan(Tianjin University), Mohd Redzuan Ahmad(University of Engineering and Technology Peshawar), Mohit Bajaj(Al-Ahliyya Amman University), Muhammad Zain Yousaf(University of Sargodha), Umar Siddique(University of Engineering and Technology Peshawar), Muhammad Abbas(Tianjin University)
Cited by 21
Related Papers
Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources
|Scientific Reports|2024|180
Enhanced solar photovoltaic power prediction using diverse machine learning algorithms with hyperparameter optimization
|Renewable and Sustainable Energy Reviews|2024|87
A novel dc fault protection scheme based on intelligent network for meshed dc grids
|International Journal of Electrical Power & Energy Systems|2023|84
Robust fault detection and classification in power transmission lines via ensemble machine learning models
|Scientific Reports|2025|70