The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Negative Binomial Regression of Electric Power Outages in Hurricanes
Abstract
Hurricanes can cause extensive power outages, resulting in economic loss, business interruption, and secondary effects to other infrastructure systems. Currently, power companies are unable to accurately predict where outages will occur. Therefore, it is difficult for them to deploy repair personnel and materials, and make other emergency response decisions in advance of an event. This paper describes negative binomial regression models for the number of hurricane-related outages likely to occur in each one square kilometer grid cell and in each zip code in a region due to passage of a hurricane. The models are based on a large Geographic Information System database of outages in North and South Carolina from three hurricanes: Floyd (1999), Bonnie (1998), and Fran (1996). The most useful explanatory variables are the number of transformers in the area, the company affected, maximum gust wind speed, and a hurricane effect. Wind speeds were estimated using a calibrated hurricane wind speed model. Pseudo R-squared values and other diagnostic statistics are developed to facilitate model selection with generalized negative binomial models.
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Cites
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
Cited by
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Reed, D. A., Kapur, K. C., & Christie, R. D. (2009) · IEEE Systems Journal · doi:10.1109/jsyst.2009.2017396 · Cited by 503
Chen, C., Wang, J., & Ton, D. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2684780 · Cited by 293
Resilience of Energy Infrastructure and Services: Modeling, Data Analytics, and Metrics
Ji, C., Wei, Y., & Poor, H. V. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2698262 · Cited by 91
McRoberts, D. B., Quiring, S. M., & Guikema, S. D. (2018) · Risk Analysis · doi:10.1111/risa.12728 · Cited by 90
Metadata
- Authors
- Liu, H., Davidson, R. A., Rosowsky, D. V., & Stedinger, J. R.
- Venue
- Journal of Infrastructure Systems
- Published
- 2005-12
- Volume
- 11
- Issue
- 4
- Pages
- 258-267
- ISSN
- 1076-0342 (ISSN-L)
- 1943-555X
- DOI
- 10.1061/(asce)1076-0342(2005)11:4(258
- OpenAlex
- W2064462974
- Cited by
- 226
- References
- 2
- FWCI
- 15.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, H., Davidson, R. A., Rosowsky, D. V., & Stedinger, J. R. (2005). Negative Binomial Regression of Electric Power Outages in Hurricanes. Journal of Infrastructure Systems. https://doi.org/10.1061/(asce)1076-0342(2005)11%3A4(258
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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