Case Study: Shipley Energy improves load forecasting accuracy with Amperon

Shipley Energy cuts load forecast error by 40% with Amperon

Shipley Energy, a long-standing energy provider with a growing retail electricity business, faced significant financial risk due to the limitations of its previous load forecasting provider. The provider's short forecast horizons and inaccurate predictions during extreme weather contributed directly to financial exposure. To support its expansion in the PJM and MISO markets, Shipley needed a more accurate and actionable forecasting solution and turned to Amperon for its portfolio demand forecast.

By implementing Amperon's service, which included a 15-day forecast updated hourly along with an API and user interface, Shipley Energy reduced its forecasting error by 40% and realized $2.3 million in savings. The solution was fully implemented in just three weeks. Amperon's accurate data empowered Shipley to make better risk management decisions, improve its daily operations, and develop more sophisticated reporting for leadership.

Shipley Energy