Abstract
ABSTRACT Electric demand and electric energy use data from 83 rural residential customers in Kansas were gathered from May 1982 to May 1984. the customers were statistically selected after stratification of all rural residential customers into one of three usage categories; low, medium, or high, based on their energy use during the power suppliers peak month during 1981. Regression analyses were used to determine correlations between coincidental daily demand and energy use for each category. A high correlation was found for coincidental peak, average, and minimum daily demand and energy use in each category. Frequency distributions for coin-cidental daily peak demand, coincidental daily energy use, and daily peak time are presented for each category. Median demands were 1.0, 1.7 and 2.6 kW for the low, medium, and high usage categories, respectively.
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