BMF fuzzy neural network with genetic algorithm for forecasting electric load

Yuang Shung Lee, Chia Hui Kao, Wei Yen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Electricity is widely applied in many aspects of modern life. Precise forecasting of electricity consumption may not only reduce operational and maintenance cost for power companies but also enhance the reliability of power supply systems, as well as avoid shortage of supply that causes damage and inconvenience to customers. In this paper, load forecasting is facilitated by a so-called BMF Fuzzy neural network, which features a structure adjusted by genetic algorithm. The purpose is to obtain better control points and weights, so as to ensure sound performance. Seven networks are constructed in correspondence with the seven different electrical loading models from Monday to Sunday. Results of the simulation reflect the forecasted loading in winter and summer months.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Power Electronics and Drive Systems
Pages1662-1666
Number of pages5
Publication statusPublished - 2005 Dec 1
EventSixth International Conference on Power Electronics and Drive Systems, PEDS 2005 - Kualu Lumpur, Malaysia
Duration: 2005 Nov 282005 Dec 1

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems
Volume2

Other

OtherSixth International Conference on Power Electronics and Drive Systems, PEDS 2005
CountryMalaysia
CityKualu Lumpur
Period05/11/2805/12/1

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Keywords

  • Fuzzy neural network
  • Genetic algorithm
  • Load forecasting

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Lee, Y. S., Kao, C. H., & Wang, W. Y. (2005). BMF fuzzy neural network with genetic algorithm for forecasting electric load. In Proceedings of the International Conference on Power Electronics and Drive Systems (pp. 1662-1666). [1619955] (Proceedings of the International Conference on Power Electronics and Drive Systems; Vol. 2).