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: 2014شناسه الکترونیک: 10.1109/PESGM.2014.6939519
کلیدواژه(گان): Monte Carlo methods,distribution networks,risk analysis,storms,Atlantic basin hurricane database,HURDAT,IEEE standard,NOAA criteria,National Oceanic and Atmospheric Administration,Northeast U.S,disaster preparedness,extreme weather events,power distribution systems,risk analysis,sequential Monte Carlo method,system hardening schemes,temporal wind storm sampling strategy,wind storms,Atmospheric modeling,Educational institutions,Hazards,Market research,Risk analysis,Storms
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date accessioned | 2020-03-12T19:38:21Z | |
date available | 2020-03-12T19:38:21Z | |
date issued | 2014 | |
identifier other | 6785507.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/984508 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Table of contents | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8099967 | |
subject keywords | Monte Carlo methods | |
subject keywords | distribution networks | |
subject keywords | risk analysis | |
subject keywords | storms | |
subject keywords | Atlantic basin hurricane database | |
subject keywords | HURDAT | |
subject keywords | IEEE standard | |
subject keywords | NOAA criteria | |
subject keywords | National Oceanic and Atmospheric Administration | |
subject keywords | Northeast U.S | |
subject keywords | disaster preparedness | |
subject keywords | extreme weather events | |
subject keywords | power distribution systems | |
subject keywords | risk analysis | |
subject keywords | sequential Monte Carlo method | |
subject keywords | system hardening schemes | |
subject keywords | temporal wind storm sampling strategy | |
subject keywords | wind storms | |
subject keywords | Atmospheric modeling | |
subject keywords | Educational institutions | |
subject keywords | Hazards | |
subject keywords | Market research | |
subject keywords | Risk analysis | |
subject keywords | Storms | |
identifier doi | 10.1109/PESGM.2014.6939519 | |
journal title | pplications and Innovations in Mobile Computing (AIMoC), 2014 | |
filesize | 178823 | |
citations | 0 |