A Neural Network Solution for Extrapolation of Wind Speeds at Heights Ranging for Improving the Estimation of Wind Producible

Abstract

This paper uses data collected by weather stations to develop coupled approach measurements numerical modeling for improving the estimation of wind produciblity. The work aims at improving the foundations for a prediction of a wind profile of quality, at short and long terms. This paper begins with a comparison between different actual methods of extrapolation wind speed, and then describes an artificial neural network (ANN) approach for the vertical wind speed extrapolation at the height of 50 m. The outputs of models are compared with the real measured data so the results show a significant improvement. Finally, a vertical wind speed profile is generated.