A combined multivariate model for wind power prediction

•A combined multivariate model is proposed for improving prediction accuracy.•Two-stages approach is used to reflect variables’ influence on wind process.•More information is expressed by reconstructed data with a small dimension.•SVR models based on one variable are built with different kernel func...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Energy conversion and management 2017-07, Vol.144, p.361-373
Hauptverfasser:	Ouyang, Tinghui, Zha, Xiaoming, Qin, Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Combined multivariate model Data mining Data processing Data reconstruction Kernel functions Model accuracy Prediction models Predictions Regression analysis Regression models Renewable energy Support vector machines Univariate model Variation Wind farms Wind power Wind power prediction
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!