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References
Lammefjord data obtained from the Risø National Laboratory in Denmark, http://www.risoe.dk/vea, see also http://www.winddata.com.
Box and Jenkins, Time Series Analysis: Forecasting and Control, Prentice-Hall, New Jersey, 1994
N. G. van Kampen, Stochastic Processes in Physics and Chemistry, North-Holland, Amsterdam, 1992
F. Paparella, A. Provenzale, L. A. Smith, C. Tarrica, R. Vio. (1997): Local random analogue prediction of nonlinear processes, Phys. Lett. A 235 233
M. Ragwitz and H. Kantz (2002): Markov models from data by simple nonlinear time series predictors in delay embedding spaces, Phys. Rev. E 65 056201
H. Kantz, D. Holstein, M. Ragwitz, N.K. Vitanov (2004): Markov chain model for turbulent wind speed data, Physica A 342 315
K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic, San Diego, 1990
S. Hallerberg, E.G. Altmann, D. Holstein, H. Kantz, Precursors of extreme increments, http://arxiv.org/pdf/physics/0604167
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Kantz, H., Holstein, D., Ragwitz, M., Vitanov, N.K. (2007). Short Time Prediction of Wind Speeds from Local Measurements. In: Peinke, J., Schaumann, P., Barth, S. (eds) Wind Energy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33866-6_16
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DOI: https://doi.org/10.1007/978-3-540-33866-6_16
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