Use of Multiple Regression Analysis and Response Surface Techniques in the Design of Optional Non-demand Electric Utility Rates
Abstract
This study develops a systematic procedure whereby multiple regression analysis and response surface techniques can be used in the design of electric utility rates to determine revenue recovery involving migration for large non-demand rate classes. A Plackett-Burman design and a Central Composite design are used in the development of the three models included in this study. Correlation coefficients and residuals are calculated in the evaluation of these models.
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