Short-Term Wind Energy Forecasting Using Support Vector Regression
Cite as
Kramer, O., & Gieseke, F. (2011). Short-Term Wind Energy Forecasting Using Support Vector Regression. In Corchado, E., Sn{á}sel, V., Sedano, J., Hassanien, A., Calvo{-}Rolle, J., & Slezak, D. (Eds.), Soft Computing Models in Industrial and Environmental Applications, 6th International Conference {SOCO} 2011, 6-8 April, 2011, Salamanca, Spain (pp. 271–280). Advances in Intelligent and Soft Computing: Vol. 87. Springer.Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2011
Conference
6th International Conference on Soft Computing Models in Industrial and Environmental Applications
Venue
Salamanca, Spain
Book title
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference {SOCO} 2011, 6-8 April, 2011, Salamanca, Spain
Editor
Corchado E, Sn{á}sel V, Sedano J, Hassanien AE, Calvo{-}Rolle JL, Slezak D
Start page
271
End page
280
Volume
87
Title of series
Advances in Intelligent and Soft Computing
Publisher
Springer
Language
English
DOI
Full text