Using Weather Ensemble Predictions in Electricity Demand Forecasting

Taylor, James and Buizza, Roberto (2003) Using Weather Ensemble Predictions in Electricity Demand Forecasting. International Journal of Forecasting, 19 (1). pp. 57-70.


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 traditional weather forecasts. We use the distribution of the demand scenarios to estimate the demand forecast uncertainty. This compares favourably with estimates produced using univariate volatility forecasting methods.

Item Type: Article
Keywords: Energy forecasting; Weather ensemble predictions; Forecasting accuracy; Prediction intervals; management science
Subject(s): Management science
Date Deposited: 24 Jan 2012 20:05
Last Modified: 08 Aug 2018 12:44
Funders: N/A

Actions (login required)

Edit View Edit View