Extreme systems

Grid Extreme Risk Toolkit · GERT
Seeing the tail before it becomes the headline.
Probabilistic grid-risk research built around P50–P99 forecasts, capacity margin, scenario intervention, provenance, and explicit simulated/live/stale labels.
- 65,711 hours of continuous grid data
- Two strict out-of-time evaluations
- Artifact and calibration gates
- Public research and presentation modes
PJM Polar-Vortex Study
Annual accuracy hid rare-event failure.
Fixed forecast origins and cold-event windows showed why ordinary validation can look acceptable while interval coverage collapses during the event that matters.
Read the study ↗









