Fuzzy Neural Network Market Clearing Power Price Forecasting Based on K-Means Clustering

Abstract:

Article Preview

Normalized fuzzy neural network has complex structure, long-time study and other shortcomings. For these shortcomings, this paper applies an improved fuzzy neural network to predict market clearing price. The model is simple, just by k-means clustering to determine the number of fuzzy inference layer nodes, and with strong applicability, higher prediction accuracy.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

2035-2039

DOI:

10.4028/www.scientific.net/AMM.121-126.2035

Citation:

X. M. Wei "Fuzzy Neural Network Market Clearing Power Price Forecasting Based on K-Means Clustering", Applied Mechanics and Materials, Vols. 121-126, pp. 2035-2039, 2012

Online since:

October 2011

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.