A review of wind speed and wind power forecasting with deep neural networks

The use of wind power, a pollution-free and renewable form of energy, to generate electricity has attracted increasing attention. However, intermittent electricity generation resulting from the random nature of wind speed poses challenges to the safety and stability of electric power grids when wind...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Applied energy Jg. 304; S. 117766
Hauptverfasser:	Wang, Yun, Zou, Runmin, Liu, Fang, Zhang, Lingjun, Liu, Qianyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.12.2021
Schlagworte:	artificial intelligence data collection Data pre-processing Deep neural network electric power electricity electricity generation Feature extraction Relationship learning wind power Wind power forecasting wind speed Wind speed forecasting Feature extraction Deep neural network Relationship learning Data pre-processing Wind power forecasting Wind speed forecasting
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!