ABSTRACT
Wind power forecasting is swiftly becoming one of the most significant pieces in wind power integration and operation. In this study, we present a simple and efficient adaptive model for shortterm wind speed prediction, implemented and tested on real-world data sets collected from five different Romanian cities. We also offer detailed results, for each investigated city, that prove its prediction capability in spite of its simplicity.
