Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting

Witold Bartkiewicz

doi:10.1109/IJCNN.2000.859401

I
IJCNN
2000
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6
Abstract - Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6

Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Witold Bartkiewicz, "Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6229, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.859401, author = {Witold Bartkiewicz}, title = {Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {6}, year = {2000}, issn = {1098-7576}, pages = {6229}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859401}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting SN - 1098-7576 SP EP A1 - Witold Bartkiewicz, PY - 2000 VL - 6 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Witold Bartkiewicz, University of L?

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859401

In this paper, we investigate the application of the Takagi-Sugeno fuzzy models to short-term electrical load forecasting problem. Several learning algorithms for these type fuzzy systems are discussed. For identification of the models with linear antecedents has been applied the combination of the cluster estimation and ordinary least squares method. For nonlinear antecedents modeling purposes has been used the fuzzy switched ensemble of feedforward neural networks. The performance of the models is compared for two-day ahead peak load prediction in the distribution network.

Citation:

Witold Bartkiewicz, "Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting," ijcnn, vol. 6, pp.6229, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000

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