INIS
simulation
100%
neural networks
100%
physics
100%
learning
100%
data
100%
dynamics
50%
trajectories
50%
power systems
50%
solutions
50%
differential equations
25%
reduction
25%
evaluation
25%
comparative evaluations
25%
approximations
25%
accuracy
25%
yields
25%
equations
25%
buses
25%
Physics
Neural Network
100%
Domain
100%
Physics
100%
Learning
100%
Model
25%
Evaluation
25%
Contrast
25%
Operators (Mathematics)
25%
Standard
25%
Engineering
Time Domain
100%
Power Engineering
50%
Trajectory
50%
Evaluation
25%
Models
25%
Limitations
25%
Discrete Time
25%
Integration
25%
Systems Dynamics
25%
Bus System
25%
Continuous Function
25%
Governing Differential Equation
25%
Implicit Runge
25%
Accuracy
25%
Reduction
25%
Mathematics
Neural Network
100%
Time Domain
100%
Computational
25%
Order
25%
Training Data
25%
Classical Model
25%
Discrete Time
25%
Approximates
25%
Single Machine
25%
Time Step
25%
Training Process
25%
Governing Differential Equation
25%
Continuous Function
25%
Computer Science
Physics-Informed Neural Network
100%
Time Domain Simulation
100%
Model
25%
Training Process
25%
Standards
25%
Single Machine
25%
System Dynamics
25%
Evaluation
25%
discrete-time
25%
Accuracy
25%
Training Data
25%
Continuous Function
25%
Keyphrases
Runge-Kutta Integration
25%
Implicit Runge-Kutta
25%
Swing Equation
25%
Dynamical Power
25%