Research Output | Dar Al-hikmah Library | IIUM Only | Scopus, ERA
Ensuring the security and resilience of power systems is crucial in mitigating risks associated with component failures. Traditional contingency screening methods, such as the N-1 criterion, focus on single-component failures, limiting their effectiveness in handling simultaneous disruptions. This paper presents a novel Deep Convolutional Neural Ne