Case Study: Grant PUD achieves 40% forecast error reduction and $2.3M savings with Amperon

Grant PUD cuts load forecast error 40% with Amperon

Grant PUD, a utility serving over 55,000 meters in Washington State, faced significant challenges with its previous load forecasting provider. The vendor's short forecast horizons and inaccurate predictions during extreme weather led to major financial exposure, particularly during a cold snap in 2024. Seeking to improve control room operations and meet new mandates, Grant PUD partnered with Amperon for a superior forecasting solution.

Amperon implemented its hybrid linear regression and AI/ML-based load forecast, which provides hourly predictions extending 15 days ahead. The tailored model incorporates 13 weather points to capture microclimates. This solution was integrated within two weeks, leading to a 40% reduction in forecast error and $2.3 million in savings. Amperon's accurate forecasts now empower Grant PUD to confidently manage wholesale positions and avoid costly real-time market exposure.

Grant PUD