Short-Term Wind Energy Forecasting Using Support Vector Regression

Oliver Kramer, Fabian Gieseke. Short-Term Wind Energy Forecasting Using Support Vector Regression. In Emilio Corchado, Václav Snásel, Javier Sedano, Aboul Ella Hassanien, José Luís Calvo-Rolle, Dominik Slezak, editors, Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, 6-8 April, 2011, Salamanca, Spain. Volume 87 of Advances in Soft Computing, pages 271-280, Springer, 2011. [doi]

@inproceedings{KramerG11-0,
  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},
  url = {http://dx.doi.org/10.1007/978-3-642-19644-7_29},
  researchr = {https://researchr.org/publication/KramerG11-0},
  cites = {0},
  citedby = {0},
  pages = {271-280},
  booktitle = {Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, 6-8 April, 2011, Salamanca, Spain},
  editor = {Emilio Corchado and Václav Snásel and Javier Sedano and Aboul Ella Hassanien and José Luís Calvo-Rolle and Dominik Slezak},
  volume = {87},
  series = {Advances in Soft Computing},
  publisher = {Springer},
  isbn = {978-3-642-19643-0},
}