Modeling Weather Impact on a Secondary Electrical Grid
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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Elsevier
2015
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| Online Access: | http://hdl.handle.net/1721.1/99142 |
| _version_ | 1826210572548440064 |
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| author | Wang, Dingquan Passonneau, Rebecca J. Collins, Michael Rudin, Cynthia |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Wang, Dingquan Passonneau, Rebecca J. Collins, Michael Rudin, Cynthia |
| author_sort | Wang, Dingquan |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:52:05Z |
| format | Article |
| id | mit-1721.1/99142 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:52:05Z |
| publishDate | 2015 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/991422022-09-29T11:03:04Z Modeling Weather Impact on a Secondary Electrical Grid Wang, Dingquan Passonneau, Rebecca J. Collins, Michael Rudin, Cynthia Sloan School of Management Rudin, Cynthia 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. 2015-10-05T16:15:45Z 2015-10-05T16:15:45Z 2014-06 Article http://purl.org/eprint/type/JournalArticle 18770509 http://hdl.handle.net/1721.1/99142 Wang, 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 http://dx.doi.org/10.1016/j.procs.2014.05.470 Procedia Computer Science Creative Commons Attribution http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Elsevier |
| spellingShingle | Wang, Dingquan Passonneau, Rebecca J. Collins, Michael Rudin, Cynthia Modeling Weather Impact on a Secondary Electrical Grid |
| title | Modeling Weather Impact on a Secondary Electrical Grid |
| title_full | Modeling Weather Impact on a Secondary Electrical Grid |
| title_fullStr | Modeling Weather Impact on a Secondary Electrical Grid |
| title_full_unstemmed | Modeling Weather Impact on a Secondary Electrical Grid |
| title_short | Modeling Weather Impact on a Secondary Electrical Grid |
| title_sort | modeling weather impact on a secondary electrical grid |
| url | http://hdl.handle.net/1721.1/99142 |
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