Prediction of the electric energy system state with the help of artificial neural networks

被引：0

作者：

Vitkova, Galina ^{[1
]}

Jelinek, Jiri ^{[1
]}

Husek, Dusan ^{[1
]}

Snasel, Vaclav ^{[1
]}

机构：

[1] AS CR Prague, ICS, Pod Vodarenskou Vezi 2, Prague 18200, Czech Republic

来源：

PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON POWER, ENERGY, AND APPLICATIONS: SCIENCE AND TECHNOLOGY FOR DEVELOPMENT IN THE 21ST CENTURY | 2006年

关键词：

electricity distribution system; simulation; artificial; intelligence; neural networks; Backpropagation network; Kohonen network; ART2;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Worthiness of neural networks application for prediction of emergency states in utility networks is proved on the basis of theoretical analysis and its experimental verification. Neural networks appeared to be a very promising means for this objective. Three neural network architectures were tested - Backpropagation network, Kohonen network and ART2.

引用

页码：54 / 58

页数：5

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