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Implementation of a model output statistics based on meteorological variable screening for short-term wind power forecast

Autor
Ranaboldo, M.; Giebel, G.; Codina, B.
Tipus d'activitat
Article en revista
Revista
Wind energy
Data de publicació
2013-09-20
Volum
16
Número
6
Pàgina inicial
811
Pàgina final
826
DOI
https://doi.org/10.1002/we.1506 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/we.1506/abstract Obrir en finestra nova
Resum
A combination of physical and statistical treatments to post-process numerical weather predictions (NWP) outputs is needed for successful short-term wind power forecasts. One of the most promising and effective approaches for statistical treatment is the Model Output Statistics (MOS) technique. In this study, a MOS based on multiple linear regression is proposed: the model screens the most relevant NWP forecast variables and selects the best predictors to fit a regression equation that minimizes...
Paraules clau
Model Output Statistics, least-square fitting, short-term prediction, statistical treatment, wind power forecast

Participants

  • Ranaboldo, Matteo  (autor)
  • Giebel, Gregor  (autor)
  • Codina Sánchez, Bernat  (autor)