Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks-Reference-Cited by-同舟云学术

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Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks

Published:2009-01 Issue:4-6 Volume:72 Page:1336-1341
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

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

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference18 articles.

1. Short-term forecasting of wind speed and related electrical power;Alexiadis;Solar Energy,1998

2. Recent changes implemented into the global forecast system at NMC. M. Kanamitsu;Alpert;Weather and Forecasting,1991

3. Locally recurrent neural networks for long-term wind speed and power prediction;Barbounis;Neurocomputing,2006

4. Locally recurrent neural networks for wind speed prediction using spatial correlation;Barbounis;Neurocomputing,2007

5. Application of artificial neural networks for the wind speed prediction of target stations using reference stations data;Bilgili;Renewable Energy,2007

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