Title :
A knowledge engineering tool for load forecasting
Author :
Lambert-Torres, G. ; Traore, C.O. ; Lagace, P.J. ; Mukhedkar, D.
Author_Institution :
Ecole Polytech. de Montreal, Que., Canada
Abstract :
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.<>
Keywords :
distribution networks; expert systems; fuzzy logic; load forecasting; neural nets; power system analysis computing; power system planning; Hydro-Quebec Power System data; artificial neural network; distribution system; fuzzy expert system; knowledge engineering tool; load forecasting; planning; short-term forecasting; Economic forecasting; Hybrid intelligent systems; Knowledge engineering; Load forecasting; Load modeling; Power system planning; Power systems; Predictive models; Shape; Weather forecasting;
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alberta, Canada
Print_ISBN :
0-7803-0081-5
DOI :
10.1109/MWSCAS.1990.140672
