메뉴 건너뛰기




Volumn 30, Issue 12, 2010, Pages 1744-1752

Prestorm Estimation of Hurricane Damage to Electric Power Distribution Systems

Author keywords

Damage; Data mining; Distribution system; Hurricane; Regression; Risk

Indexed keywords

DAMAGE; DATA MINING TECHNIQUES; DISTRIBUTION SYSTEMS; ELECTRIC POWER DISTRIBUTION SYSTEMS; ELECTRIC SERVICES; HURRICANE DAMAGE; LIMITING FACTORS; POWER OUTAGE; PROTECTIVE DEVICES; REGRESSION; UTILITY POLES;

EID: 78649769396     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2010.01510.x     Document Type: Article
Times cited : (109)

References (12)
  • 2
    • 39749146550 scopus 로고    scopus 로고
    • Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms
    • Liu H, Davidson RA, Apanasovich TV. Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms. Reliability Engineering and System Safety, 2008; 93(6):897-912.
    • (2008) Reliability Engineering and System Safety , vol.93 , Issue.6 , pp. 897-912
    • Liu, H.1    Davidson, R.A.2    Apanasovich, T.V.3
  • 4
    • 70349304185 scopus 로고    scopus 로고
    • Improving the predictive accuracy of hurricane power outage forecasts using generalized additive models
    • Han SR, Guikema S, Quiring S. Improving the predictive accuracy of hurricane power outage forecasts using generalized additive models. Risk Analysis, 2009; 29(10):1443-1453.
    • (2009) Risk Analysis , vol.29 , Issue.10 , pp. 1443-1453
    • Han, S.R.1    Guikema, S.2    Quiring, S.3
  • 5
    • 78649790754 scopus 로고    scopus 로고
    • Estimating Hurricane Outage and Damage Risk in Power Distribution Systems, Ph.D. Dissertation, Department of Civil Engineering, Texas A&M University, August
    • Han SR. Estimating Hurricane Outage and Damage Risk in Power Distribution Systems, Ph.D. Dissertation, Department of Civil Engineering, Texas A&M University, August 2008.
    • (2008)
    • Han, S.R.1
  • 7
    • 78649800303 scopus 로고    scopus 로고
    • Regression Analysis of Count Data. Econometric Society Monographs No. 30, Cambridge, UK, Cambridge University Press.
    • Cameron AC, Trivedi PK. Regression Analysis of Count Data. Econometric Society Monographs No. 30, Cambridge, UK: Cambridge University Press, 1998.
    • (1998)
    • Cameron, A.C.1    Trivedi, P.K.2
  • 8
    • 69249109698 scopus 로고    scopus 로고
    • Modeling count data for non-linear, complex infrastructure systems
    • Guikema S, Coffelt JP. Modeling count data for non-linear, complex infrastructure systems. ASCE Journal of Infrastructure Systems, 2009; 15(3):172-178.
    • (2009) ASCE Journal of Infrastructure Systems , vol.15 , Issue.3 , pp. 172-178
    • Guikema, S.1    Coffelt, J.P.2
  • 11
    • 78649791418 scopus 로고    scopus 로고
    • BART: Bayesian Additive Regression Trees, Available at, Accessed on July 20, 2009.
    • Chipman H, George E, McCulloch R. BART: Bayesian Additive Regression Trees, 2006. Available at:, Accessed on July 20, 2009.
    • (2006)
    • Chipman, H.1    George, E.2    McCulloch, R.3
  • 12
    • 0003435471 scopus 로고
    • Probability and Statistics for Engineering and the Sciences
    • 3rd ed., Pacific Grove, CA, Brooks/Cole.
    • Devore JL. Probability and Statistics for Engineering and the Sciences, 3rd ed. Pacific Grove, CA Brooks/Cole, 1995.
    • (1995)
    • Devore, J.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.