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	Deep learning aided interval state prediction for improving cyber security in energy internet
	Wang, HZ; Ruan, JQ; Ma, ZW; Zhou, B; Fu, XQ; Cao, GZ
刊名	ENERGY
	2019
卷号	Vol.174页码:1292-1304
关键词	Energy internet Cyber physical energy system Cyber security Deep belief network Cyber-attack
ISSN号	0360-5442;1873-6785
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/4748972
专题	湖南大学
作者单位	1.Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen Key Lab Electromagnet Control, Shenzhen 518060, Peoples R China 2.Shenzhen Technol Univ, Coll Urban Transportat & Logist, Shenzhen 518118, Peoples R China 3.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 4.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Wang, HZ,Ruan, JQ,Ma, ZW,et al. Deep learning aided interval state prediction for improving cyber security in energy internet[J]. ENERGY,2019,Vol.174:1292-1304.
APA	Wang, HZ,Ruan, JQ,Ma, ZW,Zhou, B,Fu, XQ,&Cao, GZ.(2019).Deep learning aided interval state prediction for improving cyber security in energy internet.ENERGY,Vol.174,1292-1304.
MLA	Wang, HZ,et al."Deep learning aided interval state prediction for improving cyber security in energy internet".ENERGY Vol.174(2019):1292-1304.

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