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
收藏
页码：54 / 58
页数：5
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