01443nam 2200361 450 991071395140332120201209064404.0(CKB)5470000002506149(OCoLC)1200231665(EXLCZ)99547000000250614920201014d2020 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAn analysis of post-attack impacts and effects of learning parameters on vulnerability assessment of power grid /Shuva Paul, Zhen Ni, and Fei DingGolden, CO :National Renewable Energy Laboratory,2020.1 online resource (1 page) color illustrationsNREL/PO ;5D00-76118Presented at the Innovative Smart Grid Technologies (ISGT 2020) North America, 17-20 February 2020, Washington, D.C.Electric power systemsProtectionElectric power systemsComputer simulationElectric power systemsProtection.Electric power systemsComputer simulation.Paul Shuva1410153National Renewable Energy Laboratory (U.S.),GPOGPOBOOK9910713951403321An analysis of post-attack impacts and effects of learning parameters on vulnerability assessment of power grid3498332UNINA