Next generation forecasting tools for the optimal management of wind generation

  title={Next generation forecasting tools for the optimal management of wind generation},
  author={G. N. Kariniotakis and I.H.-P. Waldl and Ignasi Mart{\'i} and Gregor Giebel and T. S. Nielsen and J. Tambke and Julio Usaola and F. Dierich and Alexis Bocquet and S. Virlot},
  journal={2006 International Conference on Probabilistic Methods Applied to Power Systems},
This paper presents the objectives and an overview of the results obtained in the frame of the ANEMOS project on short-term wind power forecasting. The aim of the project is to develop accurate models that substantially outperform current state-of-the-art methods, for onshore and offshore wind power forecasting, exploiting both statistical and physical modeling approaches. The project focus on prediction horizons up to 48 hours ahead and investigates predictability of wind for higher horizons… CONTINUE READING
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