Skip to main content

Cascade Simulation

info

This guide is coming soon. Below is an outline of what it will cover.

Planned Content​

  • Overview — what cascading failures are and why they matter
  • Running a Cascade — using the cascade simulator API
  • PowerGraph Calibration — how the simulator is calibrated against PowerGraph (ETH Zurich, NeurIPS 2024)
  • Failure Scenarios — defining initial contingencies (N-1, N-k)
  • Cascade Metrics — load shed, islands formed, lines tripped
  • ML Dataset Generation — producing graph-structured datasets for GNN training
  • Reproducibility — seeding and deterministic runs