The Weather Normalization viewlet uses linear regression analysis of degree day and consumption data to find a best fit line. Once found, actual consumption data is baselined against the predicted data based on weather trends which allows the visualization of performance independent of weather. There are three different views: normal baseline, delta baseline, and a regression view.
