Electric load forecasting and spark detection using artificial neural networks

被引：0
|
作者：
Kim, I [1 ]
Lee, JH [1 ]
Lee, SB [1 ]
机构：
[1] Dong Pusan Coll, Dept Multimedia Informat, Pusan, South Korea
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the neural network, one of the artificial intelligence scheme, is proposed to improve the conventional electric switchboard. The neural network used in this paper has two purposes. First, neural network detect electrical spark from broken insulation of electric wire by decrepitude or line damage in an electric wire of indoors. Second, autoregressive neural network predict the electrical load in month so that a management of energy can be administered effectively. We confirmed that this method has better performance than the conventional one.
引用
收藏
页码：938 / 941
页数：4
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