The state of the art in short term prediction of wind power - from an offshore perspective

Georges Kariniotakis (1) , Pierre Pinson (1) , Nils Siebert (1) , Gregor Giebel (2) , Rebecca Barthelmie (2)

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

Nowadays, the installed wind capacity in Europe has reached 30 GW while end-users, such as transmission system operators , use already operational tools to predict the wind production up to 48 hours ahead especially in countries with high wind development. Prediction tools are recognized as helpful for a secure and economic management of a power system. Especially, in a liberalized electricity market, they enhance the position of wind energy compared to easily dis-patchable generation. The paper presents the state of the art wind power forecasting techniques, their performance, as well as their value for the operational management or trading of wind power. Emphasis is given to the current developments of wind power prediction models to meet offshore specificities. Finally the main research projects in the area are presented.

Mots clés: Wind power; short-term forecasting; offshore; energy meteorology

Domaines: Energie électrique

Georges Kariniotakis, Pierre Pinson, Nils Siebert, Gregor Giebel, Rebecca Barthelmie. The state of the art in short term prediction of wind power - from an offshore perspective. SeaTech Week - Ocean Energy Conference ADEME-IFREMER, Oct 2004, Brest, France. ⟨hal-00529338⟩