A4 Article in conference proceedings
Wind turbine sensor data analysis and production forecast (2014)


Vaara, V., Pitkänen, M., & Hämäläinen, T. (2014). Wind turbine sensor data analysis and production forecast. In D. Al-Dabass, V. Colla, M. Vannucci, & A. Pantelous (Eds.), EMS 2014 : Proceedings of the UKSim-AMSS 8th European Modelling Symposium (pp. 309-314). IEEE. doi:10.1109/EMS.2014.88


JYU authors or editors


Publication details

All authors or editors: Vaara, Visa; Pitkänen, Marko; Hämäläinen, Timo

Parent publication: EMS 2014 : Proceedings of the UKSim-AMSS 8th European Modelling Symposium

Parent publication editors: Al-Dabass, David; Colla, Valentina; Vannucci, Marco; Pantelous, Athanasios

Conference:

  • International conference on computer modeling and simulation

ISBN: 978-1-4799-7411-5

Publication year: 2014

Pages range: 309-314

Number of pages in the book: 536

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/EMS.2014.88

Open Access: Publication channel is not openly available

Additional information: 2014 UKSim-AMSS 8th, European Modelling Symposium (EMS 2014), Pisa, 21 – 23 October 2014.


Free keywords: wind turbine; data analysis; forecast model


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2014

JUFO rating: 0


Last updated on 2020-16-10 at 22:45