Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model-Reference-Cited by-同舟云学术

Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model

Published:2016-02-17 Issue:2 Volume:9 Page:109
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Cadenas Erasmo,Rivera Wilfrido,Campos-Amezcua Rafael,Heard Christopher

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/9/2/109/pdf

Reference28 articles.

1. Denmark BrokeWorld Record forWind Power in 2015http://www.theguardian.com/environment/2016/jan/18/denmark-broke-world-record-for-wind-power-in-2015

2. Global Wind Report. Annual Market Update, 2014,2015

3. Wind power plant La Venta IIhttp://www.revista.unam.mx/vol.8/num12/art90/int90.htm

4. Reglas de Despacho y Operacion del Sistema Electrico Nacional,2001

5. Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks

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