Abstract
In this chapter various kinds of analysis are performed by using wind speed time series recorded at 12 stations of the WWR database. Analyses are devoted to infer some basic properties, such as stationarity, autocorrelation, and the embedding phase-space dimension. These features will be considered in the rest of the book to implement short-term forecasting models and perform the clustering of wind speed daily patterns. Furthermore, others kinds of analysis are carried out, such as the fractal and multifractal analysis and estimation of Lyapunov exponents, in order to clarify more deeply the nature of wind speed time series.
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Fortuna, L., Nunnari, G., Nunnari, S. (2016). Analysis of Wind Speed Time Series. In: Nonlinear Modeling of Solar Radiation and Wind Speed Time Series. SpringerBriefs in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-38764-2_3
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DOI: https://doi.org/10.1007/978-3-319-38764-2_3
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