![Institutional Repository [SANDBOX]](images/dias.logo.png "Institutional Repository [SANDBOX]"){kind=logo}
Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/2ADC2876-C37A-42E1-B2DA-6F91D189A173 | ||
| Year | 1996 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
|
||
| Bibliographic Citation | G. N. Kariniotakis , G. S. Stavrakakis, E. F. Nogaret, “Wind power forecasting using advanced neural networks models,” IEEE Trans.on Energy Conv., vol. 11, no. 4, Dec. 1996.doi:10.1109/60.556376 https://doi.org/10.1109/60.556376 | ||
| Appears in Collections |
In this paper, an advanced model, based on recurrent high order neural networks, is developed for the prediction of the power output profile of a wind park. This model outperforms simple methods like persistence, as well as classical methods in the literature. The architecture of a forecasting model is optimised automatically by a new algorithm, that substitutes the usually applied trial-and-error method.
Copyright © DIAS 2013
