Probabilistic short-term wind power forecasting based on kernel density estimators

Various types of wind power en- semble forecasts have been considered: lagged average ensembles (obtained by lagging the ECMWF control forecasts, 5 members), as well as

We found that the accuracies of wind speed and wind power predictions provided by the European Centre for Medium-Range Weather Forecasts, ECMWF and the German weather service DWD

In this article we study the wind-storage system of figure 1 which combines wind power generation with an energy storage system and day-ahead wind power forecasts to fulfill

These strategies are based either on the use of advanced point forecasting methods or on the use of decision-making methods that consider the wind power forecast- ing uncertainty and

Such a method, defined as OL-Persistence can be the sum of the production of the representative wind farms with S CADA , scaled to the total wind power (using nominal power). In

WPPT is a modelling system for predicting the total wind power production in a larger region based on a combination of on-line measurements of power production from selected wind

The present work proposes a decision making method for the optimal participation of independent wind power producers in day-ahead and intraday electricity markets. The participation

meteorological forecast of ECMWF (wind speed for wind power and surface solar irradiation for PV) and recent past production measurements. The simulation is