turbine account

• Short-Term Wind Power Prediction with Radial Basis Networks

In this paper, we propose a method to predict wind power production with radial basis function networks. In this case, the power production is the aggregated production of all wind farms of one electricity company. The method uses wind speed predictions supplied by a meteorological agency, and predicts up to several days ahead. The coarse resolution of one meter per second is overcome by combining the weather data from several meteorological stations. The wind direction is mapped on a circle, so it is more compatible with a radial basis. These ingredients have been combined with a kernel machine, which has been implemented and tested. Test results are presented in the paper.

...The efficiency of wind power turbines have been significantly improved during the last d... of coarse resolution by taking into account multiple weather stations. In Fig. 4 (right), we i...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 16 Nr. 2, März 2006