Firstly, the project is aim to produce a catalogue which identifies and classifies extreme situations as a function of their origin, nature or impact. Next, methods will be developed to adequately monitor and assess the weather situation over Europe in order to detect severe deviations in the wind power forecast due to extreme events. Then react on such a deviation by issuing suitable alerts to users that a forecast error is occurring, and by producing improved updates of the prediction in the short-term (0-6 h). Special attention is paid to forecast extreme events in the medium-range more accurate to facilitate the integration of wind power in the power system in any weather situation. Also, efforts will be given to predict extremes situations in the short to medium term (up to 2-3 days ahead) with purely statistical and probabilistic methods accounting for the evolution of meteorological variables, possibly indicating different weather regimes. Finally, the project will explore synergies between the forecasting and resources assessment areas.