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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Suhail Afzal, Hazlie Mokhlis, Hazlee Azil Illias, Abdullah Akram Bajwa, Hasmaini Mohamad, Nurulafiqah Nadzirah Mansor, Lilik Jamilatul Awalin, A.K. Ramasamy
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2025-03-01
Saila:	Ain Shams Engineering Journal
Gaiak:	Critical infrastructure Monte Carlo technique Natural hazards Power system resilience Machine learning
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2090447925000668
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!