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dc.contributor.authorWang, Dingquan
dc.contributor.authorPassonneau, Rebecca J.
dc.contributor.authorCollins, Michael
dc.contributor.authorRudin, Cynthia
dc.date.accessioned2015-10-05T16:15:45Z
dc.date.available2015-10-05T16:15:45Z
dc.date.issued2014-06
dc.identifier.issn18770509
dc.identifier.urihttp://hdl.handle.net/1721.1/99142
dc.description.abstractWeather 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.en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.procs.2014.05.470en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleModeling Weather Impact on a Secondary Electrical Griden_US
dc.typeArticleen_US
dc.identifier.citationWang, Dingquan, Rebecca J. Passonneau, Michael Collins, and Cynthia Rudin. “Modeling Weather Impact on a Secondary Electrical Grid.” Procedia Computer Science 32 (2014): 631–638.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorRudin, Cynthiaen_US
dc.relation.journalProcedia Computer Scienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsWang, Dingquan; Passonneau, Rebecca J.; Collins, Michael; Rudin, Cynthiaen_US
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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