MA method and RBF neural network for prediction improvement

被引：0

作者：

Szupiluk, Ryszard ^{[1
]}

Siwek, Krzysztof ^{[2
]}

Wojewnik, Piotr ^{[1
]}

Zabkowski, Tomasz ^{[1
]}

机构：

[1] Warsaw Sch Econom, Warsaw, Poland

[2] Warsaw Univ Technol, PL-00661 Warsaw, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2007年 / 83卷 / 11期

关键词：

electric load prediction; ensemble methods; independent component analysis;

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 we present a novel method for integration the prediction results by finding common latent components via independent component analysis. The latent components can have constructive or destructive influence on particular prediction results. After the elimination of the deconstructive signals we rebuilt the improved predictions using RBF neural networks. We check the method validity on the electricity load prediction task.

引用

页码：57 / 59

页数：3

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