Modeling weather impact on a secondary electrical grid

Dingquan Wang, Rebecca J. Passonneau, Michael Collins, Cynthia Rudin

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)631-638
Number of pages8
JournalProcedia Computer Science
StatePublished - 2014
Event5th International Conference on Ambient Systems, Networks and Technologies, ANT 2014 and 4th International Conference on Sustainable Energy Information Technology, SEIT 2014 - Hasselt, Belgium
Duration: Jun 2 2014Jun 5 2014

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


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