Skip to content
Free planNo credit card requiredStart writing

article · 2014

Wind turbine modeling with an analytic algorithm

José de Jesús Rubio, Luis Arturo Soriano, Wen Yu, Jaime Pacheco

Cited by 1Abstract and details only

Abstract

In this paper, an analytic fuzzy model is introduced for the modeling of the wind turbine behavior. The proposed method is the combination of the analytic and fuzzy models. The fuzzy model is used as a compensator to improve the approximation of the analytic model.

Cite this paper

APA 7

Rubio, J. D. J., Soriano, L. A., Yu, W., & Pacheco, J. (2014). Wind turbine modeling with an analytic algorithm. https://doi.org/10.1109/eais.2014.6867485

MLA 9

Rubio, José de Jesús, et al. “Wind turbine modeling with an analytic algorithm.” 2014, pp. 1–3, https://doi.org/10.1109/eais.2014.6867485.

Chicago

Rubio, José de Jesús, Luis Arturo Soriano, Wen Yu, and Jaime Pacheco. 2014. “Wind turbine modeling with an analytic algorithm.” https://doi.org/10.1109/eais.2014.6867485.

Harvard

Rubio, J.D.J. et al. (2014) ‘Wind turbine modeling with an analytic algorithm’. Available at: https://doi.org/10.1109/eais.2014.6867485.

BibTeX
@article{rubio2014wind,
  title = {{Wind turbine modeling with an analytic algorithm}},
  author = {Rubio, José de Jesús and Soriano, Luis Arturo and Yu, Wen and Pacheco, Jaime},
  pages = {1--3},
  year = {2014},
  doi = {10.1109/eais.2014.6867485}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.