Abstract
AbstractWe consider wind power forecasts based on a number of different meteorological forecasts originating from three different global meteorological models. Wind power forecasts based on these meteorological forecasts have fairly similar performance. However, in the paper, we show that the wind power forecast errors are relatively uncorrelated. For this reason, we can combine the forecasts and obtain a final forecast which performs better than any of the individual forecasts. Optimal weights are found based on the bias of the individual forecasts and the variance–covariance matrix of the individual forecast errors. In the paper, we show that quite significant improvements can be obtained using only a few different meteorological forecasts. Copyright © 2007 John Wiley & Sons, Ltd.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
