Modeling impact of urban flash floods on power distribution system using Monte Carlo technique and reinforcement learning

Flash floods are recognized as a major threat to power distribution systems. Thus, enhancing distribution system resilience against this catastrophic natural hazard is essential and imperative. Commonly researchers have used two-dimensional (2D) surface flow models to evaluate flood risk on power sy...

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Autori principali:	Suhail Afzal, Hazlie Mokhlis, Hazlee Azil Illias, Abdullah Akram Bajwa, Hasmaini Mohamad, Nurulafiqah Nadzirah Mansor, Lilik Jamilatul Awalin, A.K. Ramasamy
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-03-01
Serie:	Ain Shams Engineering Journal
Soggetti:	Critical infrastructure Monte Carlo technique Natural hazards Power system resilience Machine learning
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2090447925000668
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