Abstract
Multiprocess Bayesian dynamic linear models are proposed for short-term electric load modelling. Forecasts from four seasonal demand models are weighted by a likelihood function to obtain 24-hour- ahead forecasts. A validation study for three utilities covering a 1-year period indicates quite favorable results. The usefulness of this model for on-line prediction is discussed.
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