@book{fb665922404246f6b9cab15188cec7e4,
title = "Wind Power Prediction using Ensembles",
abstract = "The Ensemble project investigated the use of meteorological ensemble fore-casts for the prognosis of uncertainty of the forecasts, and found a good method to make use of ensemble forecasts. This method was then tried based on ensembles from ECMWF in formof a demo application for both the Nysted offshore wind farm and the whole Jutland/Funen area. The utilities used these forecasts for maintenance planning, fuel consumption estimates and over-the-weekend trading on the Leipzig power exchange. Othernotable scientific results include the better accuracy of forecasts made up from a simple superposition of two NWP provider (in our case, DMI and DWD), an investigation of the merits of a parameterisation of the turbulent kinetic energy within thedelivered wind speed forecasts, and the finding that a “na{\"i}ve” downscaling of each of the coarse ECMWF ensemble members with higher resolution HIRLAM did not improve the error scores or the result space enough to warrant the computational effort.",
keywords = "1-E vind, Ris{\o}-R-1527, Ris{\o}-R-1527(EN)",
author = "Gregor Giebel and Jake Badger and Lars Landberg and Nielsen, {Henrik Aalborg} and Nielsen, {Torben Skov} and Henrik Madsen and Kai Sattler and Henrik Feddersen and Henrik Vedel and John T{\o}fting and Lars Kruse and Lars Voulund",
year = "2005",
language = "English",
isbn = "87-550-3464-0",
series = "Denmark. Forskningscenter Risoe. Risoe-R",
number = "1527(EN)",
}