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Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low correlation Data
Zhou, L; Cai, LJ; Jiang, L; Chen, LN
刊名IEEE ACCESS
2019
卷号Vol.7页码:111324-111331
关键词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/4750978
专题湖南大学
作者单位1.Guangdong Power Grid Co Ltd, Audit Ctr, Guangzhou 510080, Guangdong, Peoples R China
2.Hunan Univ, Hunan Key Lab Intelligent Informat Anal & Integra, Changsha 410082, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Zhou, L,Cai, LJ,Jiang, L,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 Zhou, L,Cai, LJ,Jiang, L,&Chen, LN.(2019).Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low correlation Data.IEEE ACCESS,Vol.7,111324-111331.
MLA Zhou, L,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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