Standard
Short-term wind energy forecasting using support vector regression. / Kramer, Oliver; Gieseke, Fabian.
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. ed. / Emilio Corchado; Václav Snášel ; Javier Sedano; Aboul Ella Hassanien; José Luis Calvo; Dominik Ślȩzak. Springer, 2011. p. 271-280 (Advances in Intelligent and Soft Computing, Vol. 87).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Kramer, O
& Gieseke, F 2011,
Short-term wind energy forecasting using support vector regression. in E Corchado, V Snášel , J Sedano, AE Hassanien, JL Calvo & D Ślȩzak (eds),
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Springer, Advances in Intelligent and Soft Computing, vol. 87, pp. 271-280, 6th International Conference on Soft Computing Models in Industrial and Environmental Applications, Salamanca, Spain,
06/04/2011.
https://doi.org/10.1007/978-3-642-19644-7_29APA
Kramer, O.
, & Gieseke, F. (2011).
Short-term wind energy forecasting using support vector regression. In E. Corchado, V. Snášel , J. Sedano, A. E. Hassanien, J. L. Calvo, & D. Ślȩzak (Eds.),
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 (pp. 271-280). Springer. Advances in Intelligent and Soft Computing Vol. 87
https://doi.org/10.1007/978-3-642-19644-7_29Vancouver
Kramer O
, Gieseke F.
Short-term wind energy forecasting using support vector regression. In Corchado E, Snášel V, Sedano J, Hassanien AE, Calvo JL, Ślȩzak D, editors, Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Springer. 2011. p. 271-280. (Advances in Intelligent and Soft Computing, Vol. 87).
https://doi.org/10.1007/978-3-642-19644-7_29Author
Kramer, Oliver ; Gieseke, Fabian. / Short-term wind energy forecasting using support vector regression. Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. editor / Emilio Corchado ; Václav Snášel ; Javier Sedano ; Aboul Ella Hassanien ; José Luis Calvo ; Dominik Ślȩzak. Springer, 2011. pp. 271-280 (Advances in Intelligent and Soft Computing, Vol. 87).
Bibtex
@inproceedings{e4816658046b4de7889db4f4bbe582bc,
title = "Short-term wind energy forecasting using support vector regression",
author = "Oliver Kramer and Fabian Gieseke",
year = "2011",
doi = "10.1007/978-3-642-19644-7_29",
language = "English",
isbn = "978-3-642-19643-0",
series = "Advances in Intelligent and Soft Computing",
publisher = "Springer",
pages = "271--280",
editor = "Emilio Corchado and {Sn{\'a}{\v s}el }, V{\'a}clav and Javier Sedano and Hassanien, {Aboul Ella} and Calvo, {Jos{\'e} Luis} and Dominik {\'S}lȩzak",
booktitle = "Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011",
address = "Switzerland",
note = "null ; Conference date: 06-04-2011 Through 08-04-2011",
}
RIS
TY - GEN
T1 - Short-term wind energy forecasting using support vector regression
AU - Kramer, Oliver
AU - Gieseke, Fabian
N1 - Conference code: 6
PY - 2011
Y1 - 2011
U2 - 10.1007/978-3-642-19644-7_29
DO - 10.1007/978-3-642-19644-7_29
M3 - Article in proceedings
SN - 978-3-642-19643-0
T3 - Advances in Intelligent and Soft Computing
SP - 271
EP - 280
BT - Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011
A2 - Corchado, Emilio
A2 - Snášel , Václav
A2 - Sedano, Javier
A2 - Hassanien, Aboul Ella
A2 - Calvo, José Luis
A2 - Ślȩzak, Dominik
PB - Springer
Y2 - 6 April 2011 through 8 April 2011
ER -
