Evaluation of Electric Network Intelligence Developing Level Based on SVM Method

被引：0
|
作者：
Niu, Dongxiao [1 ]
Tang, Hui [1 ]
Wang, Jianjun [1 ]
机构：
[1] N China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
来源：
PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II | 2010年
关键词：
electric power grid; intelligence; developing level; support vector machines; evaluation;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The construction of a strong smart grid is an inevitable trend of China's power grid development. It is not only conducive to the power grid construction itself, but also benefits the whole electric power industrial development, sustainable development and social harmony and stable development. This paper gives the electric network intelligence developing level evaluation system from the basis size, technology support capability and intelligent application results of smart grid, and the support vector machines (SVM) classification model is used to evaluate the level. Comparing with BP evaluation model, the experimental results show that SVM has better performance than BP, it is more suitable for the evaluation.
引用
收藏
页码：201 / 204
页数：4
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