@CONFERENCE\{IMM2001-0664,
    author       = "G. Giebel and L. Landberg and T. S. Nielsen and H. Madsen",
    title        = "Zephyr - the next generation prediction.",
    year         = "2001",
    month        = "jul",
    keywords     = "Forecasting methods, models (mathematical), statistical analysis, computer programs, models (physical)",
    edition      = "Peter Helm",
    pages        = "1248",
    booktitle    = "the European Wind Energy Conference, Copenhagen",
    volume       = "1",
    series       = "",
    editor       = "",
    publisher    = "WIP-Munich and {ETA-}Florence",
    organization = "",
    address      = "Sylvensteinstr.2,D-81369 Munchen/Piazza Savonarola,10, {I-}50132 Florence",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/664-full.html",
    abstract     = "Two of the most successful short-term prediction models (and the only ones in operational use at utilities) are going to be merged into one: the Ris{\o} model, developed by Landberg  and the Wind Power Prediction Tool {WPPT,} developed at the Department of Mathematical Modelling {IMM} of the Danish Technical University. This paper will describe a new project funded by the Danish Ministry of Energy where the largest Danish utilities (Elkraft, Elsam, Eltra and {SEAS}) are participating. Two advantages can be achieved by combining the effort: The software architecture will be state-of-the-art, using the Java2TM platform and Enterprise Java Beans technology, and it will ensure that the best forecasts are given on all prediction horizons from the short range (0-9 hours) to the long range (36-48 hours). This is because the {IMM} approach uses online data and advanced statistical methods, which is advantageous in the short horizon, while the use of meteorological models like the {HIRLAM} model of the Danish Meteorological Institute is advantageous in the long term. The Ris{\o} approach is not based on data input from the wind farms, and can therefore deliver a starting guess, as well as a back-up for the case of missing online data.",
    isbn_issn    = "88-900442-9-2and3-936338-09-4"
}