Guaranteed-coverage forecast bands cut grid reserve margins 31% in real operator data

Bottom line: conformal prediction gave two real grid operators forecast bands with statistically guaranteed 95% coverage that were 31% tighter than their current reserve margins — a direct, quantified path to lower reserve-procurement costs.

The method wraps existing forecasting models rather than replacing them, and the integration layer is open-source, so adoption cost is low. Validation covered three years and 31 million observations. Known limitation: guarantees weaken under distribution shift — extreme weather, fast electrification — which the authors mitigate with scheduled recalibration.

The transferable insight is bigger than energy: anywhere your operation pads point forecasts with ad-hoc buffers — inventory, staffing, logistics capacity — calibrated bands convert guesswork into a tunable cost-risk dial.

Recommended action: identify your single most expensive forecast buffer and pilot a conformal wrapper on it next quarter.