Table of Contents
International Scholarly Research Notices
Volume 2014, Article ID 972580, 16 pages
http://dx.doi.org/10.1155/2014/972580
Research Article

Ensemble Nonlinear Autoregressive Exogenous Artificial Neural Networks for Short-Term Wind Speed and Power Forecasting

1Waterloo CFD Engineering Consulting Inc., Waterloo, ON, Canada N2T 2N7
2Department of Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada N2L 3G1
3Defence Research and Development Canada, Suffield Research Centre, P.O. Box 4000, Stn Main, Medicine Hat, AB, Canada T1A 8K6
4School of Renewable Energy, North China Electric Power University, Beijing 102206, China

Received 27 March 2014; Revised 28 May 2014; Accepted 28 May 2014; Published 8 September 2014

Academic Editor: Ka-Veng Yuen

Copyright © 2014. Her Majesty the Queen in Right of Canada. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhongxian Men, Eugene Yee, Fue-Sang Lien, Zhiling Yang, and Yongqian Liu, “Ensemble Nonlinear Autoregressive Exogenous Artificial Neural Networks for Short-Term Wind Speed and Power Forecasting,” International Scholarly Research Notices, vol. 2014, Article ID 972580, 16 pages, 2014. https://doi.org/10.1155/2014/972580.