Short-Term Wind Energy Forecasting Using Support Vector Regression

Author:

Kramer Oliver,Gieseke Fabian

Publisher

Springer Berlin Heidelberg

Reference19 articles.

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3. Costa, A., Crespo, A., Navarro, J., Lizcano, G., Madsen, H., Feitosa, E.: A review on the young history of the wind power short-term prediction. Renewable and Sustainable Energy Reviews 12(6), 1725–1744 (2008)

4. Evangelista, P.F., Embrechts, M.J., Szymanski, B.K.: Taming the curse of dimensionality in kernels and novelty detection. In: Applied Soft Computing Technologies: The Challenge of Complexity, pp. 431–444. Springer, Heidelberg (2006)

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