Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing
Wind power forecasting is gaining international significance as more regions promote policies to Left Moving Arm increase the use of renewable energy.Wind ramps, large variations in wind power production during a period of minutes to hours, challenge utilities and electrical balancing authorities.A sudden decrease in wind-energy production must be