Optimize curtailment with causal insight
Every MW curtailed is lost revenue and damaged credibility. Causify helps grid operators understand curtailment drivers and test interventions before making costly decisions.
The curtailment problem
Grid operators face a painful tradeoff: curtail renewable generation to maintain grid stability, or risk outages. Curtailment decisions are made under uncertainty, often based on conservative rules that leave money on the table.
Traditional forecasts predict generation and load but don't explain what drives curtailment or how grid interventions would change outcomes. Operators can't defend their decisions to regulators or generators.
How Causify helps
Causify builds causal models of your grid that connect weather, generation, load, transmission constraints, and curtailment events. You see which factors actually drive curtailment, not just what correlates.
Operators can simulate what-if scenarios: "If we upgrade this line, how much curtailment do we avoid?" or "Which generators should we ask to reduce first?" Every decision is explainable and traceable.
How it works
Integrate grid data
Connect weather forecasts, SCADA telemetry, market prices, and historical curtailment records.
Discover curtailment drivers
Causify identifies which factors (wind speed, transmission limits, load patterns) causally drive curtailment.
Simulate interventions
Test grid upgrades, dispatch changes, or demand response programs to see impact on curtailment.
Deploy & explain
Integrate causal models into operations with full audit trails for regulatory reporting.
Optimize your grid with causal AI
Talk to our team about reducing curtailment and improving grid efficiency.