Wind speed forecasting for wind farms: A method based on support vector regression

In this paper, a hybrid methodology based on Support Vector Regression for wind speed forecasting is proposed. Using the autoregressive model called Time Delay Coordinates, feature selection is performed by the Phase Space Reconstruction procedure. Then, a Support Vector Regression model is trained...

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Bibliographic Details
Published in:	Renewable energy Vol. 85; pp. 790 - 809
Main Authors:	Santamaría-Bonfil, G., Reyes-Ballesteros, A., Gershenson, C.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2016
Subjects:	algorithms Genetic algorithms methodology Mexico Non-linear analysis Phase space reconstruction regression analysis Support vector regression time series analysis wind farms wind power wind speed Wind speed forecasting Mexico Support vector regression Phase space reconstruction Non-linear analysis Wind speed forecasting Genetic algorithms
ISSN:	0960-1481, 1879-0682
Online Access:	Get full text
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