Weather inputs are an important factor in load forecasting. The arrival of a weather front or introduction of weather
forecast errors lead to a change in the significance of weather as input. A data fusion of individual models is introduced, which uses a priori information regarding the significance of weather inputs in these situations, to produce a superior forecast to any individual model