More Accurate Forecasts can be Obtained by Using Neural Networks

ImagePredictions of the power production for a wind power plant or collection of wind power plants can be improved by using so-called self-adaptive models. These models learn continuously from past experience and are thus able to adjust to changing circumstances, such as seasonal changes, small changes in weather model set-up, or even changes to the numbers or types of wind turbines. This article compares the predictions of Vejr2's neural network model with that of the company's advanced physical model. The neural network model is seen to perform significantly better than the physical model.

By Anna Hilden, Vejr2 A/S, Denmark

.
Use of cookies

Windtech International wants to make your visit to our website as pleasant as possible. That is why we place cookies on your computer that remember your preferences. With anonymous information about your site use you also help us to improve the website. Of course we will ask for your permission first. Click Accept to use all functions of the Windtech International website.