Weather forecasts are an important input to many electricity demand forecasting models.
This study investigates the use of weather ensemble predictions in electricity demand
forecasting for lead times from 1 to 10 days ahead. A weather ensemble prediction consists
of 51 scenarios for a weather variable. We use these scenarios to produce 51 scenarios for
the weather-related component of electricity demand. The results show that the average of
the demand scenarios is a more accurate demand forecast than that produced using …