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	Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low Correlation Data
	Long Zhou; Lingjia Cai; Lin Jiang; Lingna Chen
刊名	IEEE Access
	2019
卷号	Vol.7页码:111324-111331
关键词	Business Power grids Biological neural networks Big Data Data models Correlation Risk identification neural network big data intelligent audit platform power system
ISSN号	2169-3536
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4747586
专题	湖南大学
作者单位	Audit Center, Guangdong Power Grid Company Ltd., Guangzhou, China Audit Center, Guangdong Power Grid Company Ltd., Guangzhou, China Hunan Key Laboratory of Intelligent Information Analysis and Integrated Optimization for Energy Internet, Hunan University, Changsha, China Audit Center, Guangdong Power Grid Company Ltd., Guangzhou, China
推荐引用方式 GB/T 7714	Long Zhou,Lingjia Cai,Lin Jiang,et al. Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low Correlation Data[J]. IEEE Access,2019,Vol.7:111324-111331.
APA	Long Zhou,Lingjia Cai,Lin Jiang,&Lingna Chen.(2019).Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low Correlation Data.IEEE Access,Vol.7,111324-111331.
MLA	Long Zhou,et al."Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low Correlation Data".IEEE Access Vol.7(2019):111324-111331.

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