Develops an unsupervised DAE-PINN with implicit backward Euler residual to predict post-disturbance trajectories and applies normalized multi-phase metrics to quantify resilience impacts on a modified IEEE 33-bus feeder.
Transient stabil- ity analysis with physics-informed neural networks,
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Dynamic Resilience Assessment of Power Systems With Data Center Load Events Using Physics-Informed Neural Networks
Develops an unsupervised DAE-PINN with implicit backward Euler residual to predict post-disturbance trajectories and applies normalized multi-phase metrics to quantify resilience impacts on a modified IEEE 33-bus feeder.