Hybrid AI-driven intelligent fault diagnosis and localization in modern power systems
A hybrid intelligent framework for fault diagnosis and localization in modern power distribution systems, addressing challenges such as noisy measurements, high-impedance faults (HIF), and uncertain operating conditions is presented, combining the strengths of deep learning, machine learning, and soft computing.