Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction-Reference-Cited by-同舟云学术

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Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction

Published:2009-06 Issue:6 Volume:34 Page:1451-1457
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Salcedo-Sanz Sancho,Ángel M. Pérez-Bellido ,Ortiz-García Emilio G.,Portilla-Figueras Antonio,Prieto Luis,Paredes Daniel

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference25 articles.

1. Analysis of wind power generation and prediction using ANN: a case study;Mabel;Renewable Energy,2008

2. Complex-valued forecasting of wind profile;Goh;Renewable Energy,2006

3. Support vector machines for wind speed prediction;Mohandes;Renewable Energy,2004

4. Wind power forecasting using advanced neural networks models;Karioniotakis;IEEE Transactions on Energy Conversion,1996

5. Wind speed forecasting in the south coast of Oaxaca, Mexico;Cadenas;Renewable Energy,2007

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