MODELING UTILITY LOAD AND TEMPERATURE RELATIONSHIPS FOR USE WITH LONG-LEAD FORECASTS

Models relating system-wide average temperature to total system load w ere developed for the Virginia Power and Duke Power service areas in t he southeastern United States. Daily data for the 1985-91 period were used. The influence of temperature on load was at a minimum around 18 degrees C and increased more rapidly with increasing temperatures than with decreasing ones. The response was sensitive to;the day of the we ek, and models using separate weekdays as well as one using pooled dat a were created. None adequately accounted for civic holidays or for ex treme temperatures. Estimates of average loads over a 3-month period, however, were accurate to within +/- 3%. The models were used to trans form the probability distribution of 3-month average temperatures for each system, derived from the historical record, into load probabiliti es. These were used with the categorical temperature probabilities giv en by the National Weather Service long-lead forecasts to estimate the forecast load probabilities. In summer and winter the resultant chang e in distribution is sufficient to have an impact on the advance fuel purchase decisions of the utilities. Results in spring and fall are mo re ambiguous.