Wind speed forecasting using a portfolio of forecasters

This contribution presents the application of a portfolio of forecasters to the problem of wind speed forecasting. This portfolio is created using a single time series and it is based on a number of time series characteristics, previously proposed, and a set of novel time series features. The results show that the proposed portfolio produces accurate predictions, and, has better performance than the forecasters composing it. In addition to this, the forecast values are used to determine the power generation capacity of a wind turbine driven a permanent magnet synchronous generator.