|Title||Residential demand response evaluation scoping study|
|LBNL Report Number||LBNL-61090|
|Year of Publication||2006|
|Authors||Woo, Chi-Keung, and Karen Herter|
The primary goals of this scoping study were to
Our evaluation considers both day-matching and regression techniques, outlining the following alternative methods:
Based on a review of these methods for evaluating demand response, we find that customer-specific regression analysis is likely to give accurate, transparent and intuitive results. Depending on program requirements, this method can be modified to estimate hourly demand response before, during and after events, providing hourly kW response results and load profiles.
Beyond basic demand response estimation, several issues need to be addressed before a practical method for residential demand response program evaluation can be determined. Among them are the ability to evaluate multiple events on consecutive days, an understanding of how advance notification affects demand response, and incorporation of considerations affecting the extrapolation of results from a voluntary pilot to a large-scale program.