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Power Grid Security Situation Awareness Method based on Dee..:

, In: 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics),

Zhang, Hongfeng ; Jie, Suo Lang Bu Duo ; Yang, Yuxin... - p. 776-780 , 2023

Link: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartD..

RT 
T1 <cTitle>2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)</cTitle>: T1 <Title>Power Grid Security Situation Awareness Method based on Deep Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10501889&Exemplar=1&LAN=DE
				
A1 Zhang, Hongfeng
A1 Jie, Suo Lang Bu Duo
A1 Yang, Yuxin
A1 Zhang, Rui
A1 Lang, Qiong
A1 Zhu, La Ba Dun
A1 Ren, Mi Ma Ci
YR 2023
SN 2836-3701
K1 Deep learning
K1 Visualization
K1 Social computing
K1 Neural networks
K1 Standardization
K1 Predictive models
K1 Market research
K1 Security Situational Awareness
K1 Power Grid Risk Level
K1 Neural Network
K1 Deep Learning
K1 Analytic Hierarchy Process
K1 Time Series Method
SP 776
OP 780
LK http://dx.doi.org/https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics60724.2023.00136
DO https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics60724.2023.00136
SF ELIB - SuUB Bremen

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