Generation of Statistical Scenarios of Short-term Wind Power Production

@article{Pinson2007GenerationOS,
  title={Generation of Statistical Scenarios of Short-term Wind Power Production},
  author={Pierre Pinson and G. Papaefthymiou and Bernd Klockl and H. A. Nielsen},
  journal={2007 IEEE Lausanne Power Tech},
  year={2007},
  pages={491-496}
}
Short-term (up to 2-3 days ahead) probabilistic forecasts of wind power provide forecast users with a paramount information on the uncertainty of expected wind generation. Whatever the type of these probabilistic forecasts, they are produced on a per horizon basis, and hence do not inform on the development of the forecast uncertainty through forecast series. This issue is addressed here by describing a method that permits to generate statistical scenarios of wind generation that accounts for… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 22 references

Nonparametric probabilistic forecasts of wind power : required properties and evaluation

  • F. Balabdaoui T. Gneiting, A. E. Raftery
  • Wind Energ .
  • 2007

Probabilistic forecasts

  • T. Gneiting, F. Balabdaoui, A. E. Raftery
  • calibration and sharpness,” J. R. Statist. Soc. B…
  • 2007

Estimation of the uncertainty in wind power forecasting,

  • P. Pinson
  • Ph.D. dissertation, Ecole des Mines de Paris…
  • 2006

Trading wind generation with short - term probabilistic forecasts of wind power

  • P. Pinson, H. A. Nielsen, J. K. Møller, H. Madsen
  • IEEE Trans . Power Syst .
  • 2006

and E

  • T. Gneiting, K. Larson, K. Westrick, M. G. Genton
  • Aldrich, “Calibrated probabilistic forecasting at…
  • 2006

and G

  • P. Pinson, C. Chevallier
  • Kariniotakis, “Trading wind generation with short…
  • 2006

and H

  • J. K. Møller, H. A. Nielsen
  • Madsen, “Time adaptive quantile regression,” Comp…
  • 2006

and J

  • H. A. Nielsen, T. S. Nielsen, +5 authors L. Voulund
  • Tøfting, “From wind ensembles to probabilistic…
  • 2006

Similar Papers

Loading similar papers…