| date accessioned | 2020-03-12T19:38:21Z | |
| date available | 2020-03-12T19:38:21Z | |
| date issued | 2014 | |
| identifier other | 6785507.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/984508?show=full | |
| 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 | |