Titlebook: Nonlinear Modeling of Solar Radiation and Wind Speed Time Series; Luigi Fortuna,Giuseppe Nunnari,Silvia Nunnari Book 2016 The Author(s) 20

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ntech. I was very fortunate to work for the company that begat the biotech industry during its formative years. This experience established a solid foundation from which I could grow in both the science and business of biotechnology. After my fourth year of working on Oyster Point Boulevard, a close

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Time Series Methods, analysis methods are aimed to assess basic properties such as the stationarity, the embedding state-space dimension, and the degree of stability. Further relevant aspects dealing with time series are discovering of hidden patterns and cluster analysis. The main aim of this section is to introduce t

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Analysis of Solar Radiation Time Series,re 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 solar radiation daily patterns. Furthermore, o

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Modeling Hourly Average Solar Radiation Time Series,ng phase-space (EPS) models. Two different neural approaches have been considered to identify the nonlinear map underlying the identification problem, namely the neuro-fuzzy (NF) approach and the feedforward neural network (NN) approach. Performances are evaluated in terms of ., . and skill index, i

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Modeling Hourly Average Wind Speed Time Series,ed. For all modeling trials, data recorded during 2004 and 2005 was considered to identify the model parameters while the 2006 was reserved to test the model. Performances have been evaluated in terms of ., . and skill index, in comparison with the . persistent model.

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