Wind power forecasting - a review of the state of the art

Abstract : This chapter gives an overview over past and present attempts to predict wind power for single turbines, wind, farms or for whole regions, for a few minutes up to a few days ahead. It is based on a survey and report (Giebel et al., 2011) initiated in the frame of the European project ANEMOS, which brought together many groups from Europe involved in the field with long experience in short-term forecasting. It was then continued in the frame of the follow-up European projects SafeWind and ANEMOS.plus, which concentrated respectively on the forecasting of extreme events and the best possible integration of the forecasts in the work flow of end users.
Type de document :
Chapitre d'ouvrage
Renewable Energy Forecasting: From Models to Applications , Elsevier - Woodhead Publishing, Chapter 3 - p. 59-96, 2017, Woodhead Publishing Series in Energy, 978-0-0810-0504-0 〈10.1016/B978-0-08-100504-0.00003-2〉
Liste complète des métadonnées

https://hal-mines-paristech.archives-ouvertes.fr/hal-01544728
Contributeur : Brigitte Hanot <>
Soumis le : jeudi 22 juin 2017 - 09:57:01
Dernière modification le : mercredi 18 juillet 2018 - 16:47:41

Lien texte intégral

Identifiants

Collections

Citation

Gregor Giebel, Georges Kariniotakis. Wind power forecasting - a review of the state of the art. Renewable Energy Forecasting: From Models to Applications , Elsevier - Woodhead Publishing, Chapter 3 - p. 59-96, 2017, Woodhead Publishing Series in Energy, 978-0-0810-0504-0 〈10.1016/B978-0-08-100504-0.00003-2〉. 〈hal-01544728〉

Partager

Métriques

Consultations de la notice

297