Skip to main content


eCommons@Cornell >
Cornell University Graduate School >
Cornell Theses and Dissertations >

Please use this identifier to cite or link to this item:
Title: Using Data Envelopment Analysis to Evaluate the Performance of Post-Hurricane Electric Power Restoration Activities
Authors: Reilly, Allison
Keywords: Data Envelopment Analysis
Post-Hurricane Restoration
Issue Date: 6-Nov-2007
Abstract: The post-hurricane restoration of electric power is attracting increasing scrutiny as customers' tolerance for even short power interruptions decreases. Currently there are no standards for what constitutes an acceptably fast restoration. This paper introduces the use of data envelopment analysis to help evaluate post-hurricane restorations through comparison with the experiences of other companies in similar storms. The method accounts for the variable severity of the hurricane themselves, so that companies are not penalized for outages that are long only because the hurricane that caused them was particularly severe. The analysis is illustrated through an application comparing 19 recent post-hurricane restoration experiences across 9 different electric power companies in the United States. The method could be applied to other types of infrastructure systems and other extreme events as well.
Appears in Collections:Cornell Theses and Dissertations

Files in This Item:

File Description SizeFormat
DEA Thesis.pdf307.04 kBAdobe PDFView/Open

Refworks Export

Items in eCommons are protected by copyright, with all rights reserved, unless otherwise indicated.


© 2014 Cornell University Library Contact Us