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

fYear

1990

fDate

12-14 Aug. 1990

Firstpage

144

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on

Conference_Location

Calgary, Alberta, Canada

Print_ISBN

0-7803-0081-5

Type

conf

DOI

10.1109/MWSCAS.1990.140672

Filename

140672