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Modeling Weather Impact on a Secondary Electrical Grid
Author(s) -
Dingquan Wang,
Rebecca J. Passonneau,
Michael Collins,
Cynthia Rudin
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.05.470
Subject(s) - vulnerability (computing) , interdependence , computer science , work (physics) , grid , vulnerability assessment , logistic regression , numerical weather prediction , extreme weather , meteorology , baseline (sea) , computer security , climate change , machine learning , geography , geology , mechanical engineering , psychology , oceanography , geodesy , psychological resilience , political science , law , psychotherapist , engineering
Weather can cause problems for underground electrical grids by increasing the probability of serious “manhole events” such as fires and explosions. In this work, we compare a model that incorporates weather features associated with the dates of serious events into a single logistic regression, with a more complex approach that has three interdependent log linear models for weather, baseline manhole vulnerability, and vulnerability of manholes to weather. The latter approach more naturally incorporates the dependencies between the weather, structure properties, and structure vulnerability

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