Title :
Peak electrical demands of individuals and groups of rural residential customers
Author :
Stetson, Laverne E. ; Stark, Gregory L.
Author_Institution :
Nebraska Univ., Lincoln, NE, USA
Abstract :
Demand data have been collected at 5 min intervals for two years (May 1982-June 1984) from 83 randomly selected rural residential customers in Kansas, USA. Customer lists were stratified into three ranges of historical monthly energy use prior to the random sampling. Previous data analyses have shown linear relationships between coincidental 60 min demands and daily energy use for the stratified ranges. Both summer and winter peak demands occurred during calendar year 1983. Demand data from 1983 were analyzed at 15 min intervals to develop predictions of coincidental 15 min demands from daily energy use for each of the stratified ranges. Values for daily energy use needed to predict the coincidental demand can be obtained from relationships presented for daily degree-days and energy use related to home-heating and cooling equipment. Noncoincidental demands on a two-year, monthly, and peak-day basis are presented, again based on daily energy use for that peak-demand day
Keywords :
electricity supply industry; load forecasting; USA; coincidental demand; cooling; electrical demands; electricity supply industry; energy use; load forecasting; rural residential customers; sampling; Agriculture; Calendars; Costs; Data analysis; Economic forecasting; Irrigation; Power generation economics; Production; Sampling methods; Water heating;
Journal_Title :
Industry Applications, IEEE Transactions on