Short-term load forecasting using a fuzzy engineering tool

Author

Lambert-Torres, G. ; Traore, C.O. ; Mandolesi, F.G. ; Mukhedkar, D.

Author_Institution

Escola Federal de Engenharia de Itajuba, Brazil

fYear

1991

fDate

23-26 Jul 1991

Firstpage

36

Lastpage

40

Abstract

The authors describe a knowledge engineering tool for short-term load forecasting to be used as an aid in operation and planning of distribution systems. This engineering tool is composed by two parts. Firstly, an artificial neural network is trained to produce the first evaluation of forecasted load. Following, a fuzzy expert system manipulate 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 engineering computing; power system planning; Hydro-Quebec Power System; distribution systems; fuzzy engineering tool; fuzzy expert system; knowledge engineering tool; neural networks; real power conditions; short-term load forecasting; weather conditions; Economic forecasting; Hybrid intelligent systems; Knowledge engineering; Load forecasting; Power engineering and energy; Power generation economics; Power system economics; Power system planning; Power systems; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of

Conference_Location

Seattle, WA

Print_ISBN

0-7803-0065-3

Type

conf

DOI

10.1109/ANN.1991.213494

Filename

213494