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This is an example in the IEEE 39-bus system to illustrate how the algorithm proposed in the paper "Cascading Failure Analysis Based on a Physics-Informed Graph Neural Network" is implemented.
This code is an implementation of power system behavior simulation under extreme events for the under review paper "Real-time Resilience Assessment for Power Systems under Extreme Disasters: A Spatial Temporal Graph-based Approach".
Using Keras to construct a PINN to solve the ode
Meta_transfer_learning_IEEE39b
Dynamic simulation of IEEE 39-bus system using pypower-dynamic
Emergent Abilities of Large Graph Neural Networks for Large-scale Power System Analysis
duffusion model for PV scenarios generation
Block Sparse Attention Project
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