Abstract :
For the first time, load quantities consisting of maximum demands, 1 diversified demands, coincidence factors, daily load factors, monthly load factors, annual load factors, loss versus load factor relationships, and responsibility factors are developed for distribution transformers serving residential central air conditioning customers. Weather information and over three million values of load versus time data were recorded on magnetic tape to be used as basic input information for the analysis. A non-linear multiple regression analysis program was created to generate the correlation equations and determine the index of multiple correlation, index of multiple determination and standard error of estimate for each load quantity. Weather sensitive variables, energy usage, number of customers, number of central air conditioning units, and customer living patterns are incorporated in the regression equations.
