Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 3
Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1211-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1211-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 3
Research article
 | 
23 Sep 2020
Research article |  | 23 Sep 2020

Multipoint reconstruction of wind speeds

Christian Behnken, Matthias Wächter, and Joachim Peinke

Viewed

Total article views: 2,508 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,508 767 233 2,508 142 160
  • HTML: 1,508
  • PDF: 767
  • XML: 233
  • Total: 2,508
  • BibTeX: 142
  • EndNote: 160
Views and downloads (calculated since 05 Feb 2020)
Cumulative views and downloads (calculated since 05 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,508 (including HTML, PDF, and XML) Thereof 2,321 with geography defined and 187 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Feb 2026
Download
Short summary
We extend the common characterisation and modelling of wind time series with respect to higher-order statistics. We present an approach which enables us to obtain the general multipoint statistics of wind time series measured. This work is an important step in a more comprehensive description of wind also including extreme events. Important is that we show how stochastic equations can be derived from measured wind data which can be used to model long time series.
Read more
Share
Altmetrics
Final-revised paper
Preprint