<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michael J. Sullivan</style></author><author><style face="normal" font="default" size="100%">Matthew G. Mercurio</style></author><author><style face="normal" font="default" size="100%">Josh A. Schellenberg</style></author><author><style face="normal" font="default" size="100%">Joseph H. Eto</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">How to Estimate the Value of Service Reliability Improvements</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">consortium for electric reliability technology solutions (certs)</style></keyword><keyword><style  face="normal" font="default" size="100%">electricity markets and policy group</style></keyword><keyword><style  face="normal" font="default" size="100%">energy analysis and environmental impacts department</style></keyword><keyword><style  face="normal" font="default" size="100%">power system reliability publications</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">06/2010</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://eetd.lbl.gov/sites/all/files/publications/estimate-service-reliability-improv-2010.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">LBNL</style></publisher><pub-location><style face="normal" font="default" size="100%">Berkeley</style></pub-location><pages><style face="normal" font="default" size="100%">5</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A robust methodology for estimating the value of service reliability improvements is presented. Although econometric models for estimating value of service (interruption costs) have been established and widely accepted, analysts often resort to applying relatively crude interruption cost estimation techniques in assessing the economic impacts of transmission and distribution investments. This paper first shows how the use of these techniques can substantially impact the estimated value of service improvements. A simple yet robust methodology that does not rely heavily on simplifying assumptions is presented. When a smart grid investment is proposed, reliability improvement is one of the most frequently cited benefits. Using the best methodology for estimating the value of this benefit is imperative. By providing directions on how to implement this methodology, this paper sends a practical, usable message to the industry.&lt;/p&gt;</style></abstract></record></records></xml>