Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms-Reference-Cited by-同舟云学术

Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms

Published:2008-06 Issue:6 Volume:93 Page:897-912
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Liu Haibin,Davidson Rachel A.,Apanasovich Tatiyana V.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference52 articles.

1. Dominion Energy. Hurricane Isabel: a final review. Dominion Energy Storm Center. 〈http://www.dom.com/news/isabel_review.jsp〉 [Retrieved November 2003].

2. Ice storm ’98;Lecomte,1998

3. Electric power distribution reliability;Brown,2002

4. A method for estimating the reliability of distribution circuits;Gilligan;IEEE Trans Power Deliver,1992

5. Vickery PJ, Twisdale LA, Montpellier P, Steckley AC. Hurricane vulnerability and risk analysis of the VINLEC transmission and distribution system. Raleigh, NC: Applied Research Associates.

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