Best practice in the use of short-term forecasting. Results from 2 workshops organised by the Pow'Wow project

Gregor Giebel (1) , Georges Kariniotakis (2)

1 Risø DTU - Risø National Laboratory for Sustainable Energy
2 CEP - Centre Énergétique et Procédés

Short-term forecasting of wind power for about 48 hours in advance is an established technique by now. Any utility getting over a few percent wind power penetration is buying a system or a service on the market. But which system? Also, once the system is installed and running day-to-day in the control room or on the trading floor, what is the best way to use the predictions? Which pitfalls are there to be aware of, and how can one maximise the value of the short-term forecasts?

Mots clés: Short-term forecasting; wind power

Domaines: Sciences de l'ingénieur [physics]; Energétique; Mathématiques [math]; Probabilités [math.PR]; Sciences de l'ingénieur [physics]; Energie électrique

Gregor Giebel, Georges Kariniotakis. Best practice in the use of short-term forecasting. Results from 2 workshops organised by the Pow'Wow project. European Wind Energy Conference & Exhibition EWEC 2008, Mar 2008, Brussels, Belgium. http://www.ewec2008proceedings.info/. ⟨hal-00506107⟩