This is a cache of https://www.uibk.ac.at/en/acinn/research/atmospheric-dynamics/projects/windfx/. It is a snapshot of the page at 2024-11-30T05:33:22.097+0100.
WindFX – Universität Innsbruck

Forecasting the wind power distribution for wind parks (WindFX)

 

Forecasting the wind power distribution for wind parks (WindFX)

 

Methods to forecast electricity production from wind farms in Austria for forecast horizons of 6 hours to 10 days are compared and evaluated for their potential operational installation. State-of-the-art methods documented in the literatureand new methods will be implemented. They use best-guess and ensemble predictions ofa numerical weather prediction (NWP) model and an archive of historical wind farm andNWP data spanning several years. Probabilistic methods will maximize the information content of the forecast.

Project

Project Leader:
Georg MAYR

Members:
Messner Jakob
Stauffer Reto

Funding Agencies:
Austrian Science Fund (FWF): L615-N10

Project Duration:
12/09/2013

Publications

2016

Messner, J. W. ;, G. J. Mayr, and A. ZeileisHeteroscedastic Censored and Truncated Regression with crchThe R Journal
Messner, J. W. ;, G. J. Mayr, and A. ZeileisNon-homogeneous boosting for predictor selection in ensemble post-processingWorking Papers in Economics and Statistics - University of Innsbruck
Stauffer, R., J. W. ; Messner, N. ; Umlauf, and A. ZeileisEnsemble Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies
Stauffer, R., J. W. ; Messner, G. J. Mayr, N. ; Umlauf, and A. ZeileisSpatio-Temporal Precipitation Climatology over Complex Terrain Using a Censored Additive Regression ModelWorking Papers in Economics and Statistics - University of Innsbruck

2014

Messner, J. W. ;, A. Zeileis, J. Broecker, and G. J. MayrProbabilistic wind power forecasts with an inverse power curve transformation and censored regressionWind Energy17http://doi.wiley.com/10.1002/we.1666
Messner, J. W. ;, G. J. Mayr, A. Zeileis, and D. S. WilksHeteroscedastic Extended Logistic Regression for Postprocessing of Ensemble GuidanceMonthly Weather Review142http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-13-00271.1
Messner, J. W. ;, G. J. Mayr, D. S. Wilks, and A. ZeileisExtending Extended Logistic Regression: Extended vs. Separate vs. Ordered vs. CensoredMonthly Weather Reviewhttp://journals.ametsoc.org/doi/abs/10.1175/MWR-D-13-00355.1

2013

Gisinger, S., G. J. Mayr, J. W. ; Messner, and R. StaufferBrief communication "Spatial and temporal variation of wind power at hub height over Europe"Nonlinear Processes in Geophysics20http://www.nonlin-processes-geophys.net/20/305/2013/npg-20-305-2013.pdf

2012

Drechsel, S., G. J. Mayr, J. W. ; Messner, and R. StaufferWind Speeds at Heights Crucial for Wind Energy: Measurements and Verification of ForecastsJournal of Applied Meteorology and Climatology51



Nach oben scrollen