A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China-Reference-Cited by-同舟云学术

A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China

Published:2015-12-15 Issue:6 Volume:13 Page:595-607
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Qin Shanshan,Wang Jianzhou,Wu Jie,Zhao Ge

Funder

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

http://www.tandfonline.com/doi/pdf/10.1080/15435075.2014.961462

Reference49 articles.

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4. A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation

5. Large Sample Properties of Parameter Estimates for Periodic ARMA Models

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