Topic:"Demand Side Management Purchase Agreement" in M12932

Where: is the linearized monthly consumption for the treatment customer for month 'i' is the linearized monthly consumption for the control customer for month 'i' is the number of months compared between treatment and control, n = 12 in th...

AI summary The text describes a method for identifying control customers by comparing their linearized monthly consumption data with that of treatment customers. A similarity metric based on the mean absolute difference over 12 months is used, with a threshold of 0.2. If fewer than 15 matches are found, the selection process expands to include postal codes and feeders to ensure a minimum of 15 potential controls per treatment customer.

Attachment V: Validation of Mixed Effects Regression [Control Group Selection)](#page-22-1) relative to residential customers. As such, the methodological choice to use a fixed effects regression model for commercial customers, like reside...

AI summary This section discusses the validation of a mixed effects regression model used in the Phase 4 evaluation to account for the heterogeneous nature of commercial load and baseloads. It contrasts this approach with the fixed effects model, which was deemed unsuitable for commercial customers due to the risk of significant Type II error.