Prediction of Oil Temperature for Substation Distribution Transformers Using Wavelet Neural Networks

被引：0

作者：

Lipinski, Piotr ^{[1
]}

机构：

[1] Tech Univ Lodz, Div Comp Networks, PL-90924 Lodz, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2008年 / 84卷 / 12期

关键词：

wavelet transform; wavelet neural network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper a new approach for predicting oil temperature for substation distribution transformer is presented. It takes advantage of a wavelet neural network (WNN), which is used to predict the oil temperature in the following 32 minutes. The in this article we choose optimal parameters for WNN and demonstrate that linear WNN performs better in terms of mean square error (MSE) of predicted values than linear and nonlinear neural networks.

引用

页码：202 / 204

页数：3

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