Engineering
Energy Management System
100%
Demonstrates
66%
Simulation Experiment
33%
Outages
33%
System State
33%
Square Error
33%
Critical Application
33%
Power Grid
33%
System Operation
33%
Reliable Operation
33%
Active Power
33%
Sensor Measurement
33%
Optimal Power Flow
33%
Dynamic Loss
33%
Least Square
33%
State Estimation
33%
Temporal Variation
33%
Deep Learning
33%
Long Short-Term Memory
33%
Computer Science
False Data Injection Attacks
100%
Application System
16%
Least Squares Methods
16%
Deep Learning Model
16%
Long Short-Term Memory Network
16%
optimal power
16%
Simulation Experiment
16%
State Estimation
16%
Critical Application
16%
System Operation
16%
Reliable Operation
16%
Temporal Variation
16%
Sensor Measurement
16%
Keyphrases
Hybrid Measurements
100%
Attack-resilient State Estimation
16%
Power System State
16%
Weighted Minimum Mean Square Error (WMMSE)
16%
Dynamic Losses
16%
Hybrid Attack
16%