Providing Wind Forecasts to Utility Companies

Using advanced numerical weather prediction and statistical methods, NCAR developed a highly detailed wind energy forecasting system with Xcel Energy, enabling the utility to capture energy from turbines far more effectively and at lower cost.
Challenge: 

Accurate wind forecasts are crucial for power-grid integration and load balancing. Numerical weather prediction (NWP) models have historically only played a secondary role in providing 0–12 h wind-power forecasts. 

Solution: 

Wind Energy Prediction
Using advanced numerical weather prediction and statistical methods, NCAR developed a highly detailed wind energy forecasting system with Xcel Energy, enabling the utility to capture energy from turbines far more effectively and at lower cost. 

Benefits: 

This wind energy forecasting system has saved Xcel Energy ratepayers approximately $10M per year since 2009. The benefits are described in a report of the National Renewable Energy Laboratory (NREL).