Publication Details
Title: Short-Term Wind Energy Forecasting Using Support Vector Regression
Author: O. Kramer and F. Gieseke
Group: Algorithms
Date: April 2011
PDF: http://www.icsi.berkeley.edu/pubs/algorithms/shorttermwindenergy11.pdf
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SoCo), Salamanca, Spain
Bibliographic Reference:
O. Kramer and F. Gieseke. Short-Term Wind Energy Forecasting Using Support Vector Regression. Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SoCo), Salamanca, Spain, April 2011
Author: O. Kramer and F. Gieseke
Group: Algorithms
Date: April 2011
PDF: http://www.icsi.berkeley.edu/pubs/algorithms/shorttermwindenergy11.pdf
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SoCo), Salamanca, Spain
Bibliographic Reference:
O. Kramer and F. Gieseke. Short-Term Wind Energy Forecasting Using Support Vector Regression. Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SoCo), Salamanca, Spain, April 2011