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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
R2N2 model
biblio
An Accurate False Data Detection in Smart Grid Based on Residual Recurrent Neural Network and Adaptive threshold
Submitted by grigby1 on Wed, 10/14/2020 - 12:39pm
false data injection attack
cyber physical systems
Transmission line measurements
False Data Detection
power system state estimation
accurate false data detection
Adaptive detection threshold
adaptive judgment threshold
adaptive threshold
Recurrent neural networks
FDIA detection method
linear prediction model
malicious attack
R2N2 model
Residual recurrent neural network
residual recurrent neural network prediction model
Weibull distribution
state estimation
security of data
Predictive models
pubcrawl
Human behavior
resilience
Resiliency
Mathematical model
Data models
Adaptation models
recurrent neural nets
power engineering computing
power system security
Smart Grid
smart power grids
composability
cyber-attacks
