A knowledge engineering tool for load forecasting

A description is given of a knowledge engineering tool for short-term load forecasting to be used as an aid in operation and planning of a distribution system. This engineering tool is composed of two parts. First, an artificial neural network is trained to produce the first evaluation of a forecasted load. Then, a fuzzy expert system manipulates actual and forecasted values of real power and weather conditions to find the final forecasted load. Illustrative examples are presented using Hydro-Quebec Power System data.<
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