Tutorial: electricity demand after a grid shock

This is the engineering operations demo.

Run it

python -m tscfbench demo electricity-shock

Question

How much did demand in the treated region diverge from its donor-based counterfactual after the outage or tariff shock?

What this writes

• panel_metrics.json
• panel_report.md
• panel_prediction_frame.csv
• treated-vs-counterfactual PNG/SVG
• cumulative-impact PNG/SVG
• donor-contributions PNG/SVG
• share-card PNG/SVG

Why this tutorial exists

It gives engineering and energy users a concrete panel example that feels closer to operations than to policy research.

Real-world variants

The same pattern works for plant outages, tariff changes, regional demand shocks, and maintenance windows.