Wind turbine modeling with an analytic algorithm

José De Jesús Rubio; Luis Arturo Soriano; Wen Yu; Jaime Pacheco

doi:10.1109/eais.2014.6867485

Wind turbine modeling with an analytic algorithm

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

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Azcapotzalco

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings
Editores	Plamen Angelov, Dimitar Filev, Nikola Kasabov, Edwin Lughofer, Erich Peter Klement, Susanne Saminger-Platz, Jose A. Iglesias, Moamar Sayed-Mouchaweh
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781479933471
DOI	https://doi.org/10.1109/eais.2014.6867485
Estado	Publicada - 2014
Evento	2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Linz, Austria Duración: 2 jun. 2014 → 4 jun. 2014

Serie de la publicación

Nombre	2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

Conferencia

Conferencia	2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014
País/Territorio	Austria
Ciudad	Linz
Período	2/06/14 → 4/06/14

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10.1109/eais.2014.6867485

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De Jesús Rubio, J., Soriano, L. A., Yu, W., & Pacheco, J. (2014). Wind turbine modeling with an analytic algorithm. En P. Angelov, D. Filev, N. Kasabov, E. Lughofer, E. P. Klement, S. Saminger-Platz, J. A. Iglesias, & M. Sayed-Mouchaweh (Eds.), 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings Artículo 6867485 (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eais.2014.6867485

De Jesús Rubio, José ; Soriano, Luis Arturo ; Yu, Wen et al. / Wind turbine modeling with an analytic algorithm. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings. editor / Plamen Angelov ; Dimitar Filev ; Nikola Kasabov ; Edwin Lughofer ; Erich Peter Klement ; Susanne Saminger-Platz ; Jose A. Iglesias ; Moamar Sayed-Mouchaweh. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings).

@inproceedings{34cf378ca26d43449ac1e8d350527423,

title = "Wind turbine modeling with an analytic algorithm",

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.",

author = "{De Jes{\'u}s Rubio}, Jos{\'e} and Soriano, {Luis Arturo} and Wen Yu and Jaime Pacheco",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 ; Conference date: 02-06-2014 Through 04-06-2014",

year = "2014",

doi = "10.1109/eais.2014.6867485",

language = "Ingl{\'e}s",

series = "2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Plamen Angelov and Dimitar Filev and Nikola Kasabov and Edwin Lughofer and Klement, {Erich Peter} and Susanne Saminger-Platz and Iglesias, {Jose A.} and Moamar Sayed-Mouchaweh",

booktitle = "2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings",

address = "Estados Unidos",

}

De Jesús Rubio, J, Soriano, LA, Yu, W & Pacheco, J 2014, Wind turbine modeling with an analytic algorithm. En P Angelov, D Filev, N Kasabov, E Lughofer, EP Klement, S Saminger-Platz, JA Iglesias & M Sayed-Mouchaweh (eds.), 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings., 6867485, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014, Linz, Austria, 2/06/14. https://doi.org/10.1109/eais.2014.6867485

Wind turbine modeling with an analytic algorithm. / De Jesús Rubio, José; Soriano, Luis Arturo; Yu, Wen et al.
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings. ed. / Plamen Angelov; Dimitar Filev; Nikola Kasabov; Edwin Lughofer; Erich Peter Klement; Susanne Saminger-Platz; Jose A. Iglesias; Moamar Sayed-Mouchaweh. Institute of Electrical and Electronics Engineers Inc., 2014. 6867485 (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Wind turbine modeling with an analytic algorithm

AU - De Jesús Rubio, José

AU - Soriano, Luis Arturo

AU - Yu, Wen

AU - Pacheco, Jaime

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84920507406&partnerID=8YFLogxK

U2 - 10.1109/eais.2014.6867485

DO - 10.1109/eais.2014.6867485

M3 - Contribución a la conferencia

AN - SCOPUS:84920507406

T3 - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

BT - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

A2 - Angelov, Plamen

A2 - Filev, Dimitar

A2 - Kasabov, Nikola

A2 - Lughofer, Edwin

A2 - Klement, Erich Peter

A2 - Saminger-Platz, Susanne

A2 - Iglesias, Jose A.

A2 - Sayed-Mouchaweh, Moamar

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014

Y2 - 2 June 2014 through 4 June 2014

ER -

De Jesús Rubio J, Soriano LA, Yu W, Pacheco J. Wind turbine modeling with an analytic algorithm. En Angelov P, Filev D, Kasabov N, Lughofer E, Klement EP, Saminger-Platz S, Iglesias JA, Sayed-Mouchaweh M, editores, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6867485. (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings). doi: 10.1109/eais.2014.6867485

Wind turbine modeling with an analytic algorithm

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