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Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

Speaker(s): 
Nobuyuki Yamaguchi
Date: 
March 26, 2009 - 12:00pm
Location: 
90-3122

This seminar provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. We examined the performance of the proposed models with respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company’s commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response. For more information about this seminar, please contact: JoAnne Lambert 510.486.4835, or send e-mail to JMLambert[at]lbl.gov

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