Multivariate assessment of a repair program for a New York City electrical grid

Rebecca Jane Passonneau, Ashish Tomar, Somnath Sarkar, Haimonti Dutta, Axinia Radeva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We assess the impact of an inspection repair program administered to the secondary electrical grid in New York City. The question of interest is whether repairs reduce the incidence of future events that cause service disruptions ranging from minor to serious ones. A key challenge in defining treatment and control groups in the absence of a randomized experiment involved an inherent bias in selection of electrical structures to be inspected in a given year. To compensate for the bias, we construct separate models for each year of the propensity for a structure to have an inspection repair. The propensity models account for differences across years in the structures that get inspected. To model the treatment outcome, we use a statistical approach based on the additive effects of many weak learners. Our results indicate that inspection repairs are more beneficial earlier in the five-year inspection cycle, which accords with the inherent bias to inspect structures in earlier years that are known to have problems.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
Pages509-514
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012 - Boca Raton, FL, United States
Duration: Dec 12 2012Dec 15 2012

Publication series

NameProceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
Volume2

Other

Other11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012
CountryUnited States
CityBoca Raton, FL
Period12/12/1212/15/12

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Education

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  • Cite this

    Passonneau, R. J., Tomar, A., Sarkar, S., Dutta, H., & Radeva, A. (2012). Multivariate assessment of a repair program for a New York City electrical grid. In Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 (pp. 509-514). [6406787] (Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012; Vol. 2). https://doi.org/10.1109/ICMLA.2012.208