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	Deep learning aided interval state prediction for improving cyber security in energy internet.
	Wang, Huaizhi; Ruan, Jiaqi; Ma, Zhengwei; Zhou, Bin; Fu, Xueqian; Cao, Guangzhong
刊名	Energy
	2019
卷号	Vol.174页码:1292-1304
关键词	Cyber physical energy system Cyber security Cyber-attack Deep belief network Energy internet
ISSN号	0360-5442
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/4609330
专题	湖南大学
作者单位	1.Shenzhen Key Laboratory of Electromagnetic Control, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China 2.College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China 3.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 4.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
推荐引用方式 GB/T 7714	Wang, Huaizhi,Ruan, Jiaqi,Ma, Zhengwei,et al. Deep learning aided interval state prediction for improving cyber security in energy internet.[J]. Energy,2019,Vol.174:1292-1304.
APA	Wang, Huaizhi,Ruan, Jiaqi,Ma, Zhengwei,Zhou, Bin,Fu, Xueqian,&Cao, Guangzhong.(2019).Deep learning aided interval state prediction for improving cyber security in energy internet..Energy,Vol.174,1292-1304.
MLA	Wang, Huaizhi,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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