Improving Wind Power Forecasts by considering the Spatio-Temporal structure of Wind Power Forecast Errors

Olivier Corradi & Henrik Madsen
With the ongoing increase in installed wind power production and due to the variability of this resource, forecasting the production is becoming a critical process. So far, forecasts have usually been generated individually for a given site of interest (either a wind farm or a group of wind farms). However, it is intuitively expected that owing to the inertia of meteorological forecasting systems, a forecast error made at a given point in space and time...
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