Nonlinear Modeling of Solar Radiation and Wind Speed Time Series [Paperback]

This brief is a clear, concise description of the main techniques of time series analysis stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc. as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques.

The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques.

Results are well-illustrated by figures and tables. MATLAB? funtions implemented on time-series analysis and modeling as described in this book are available for download. Detailed instructions are provided to help the user employ the code correctly.Time-Series Methods.- Analysis of Solar-Radiation Time Series.- Analysis of Wind-Speed Time Series.- Prediction Models for Solar-Radiation and Wind-Speed Time Series.- Modeling Hourly Average Solar-Radiation Time Series.- Modeling Hourly Average Wind-Speed Time Series.- Clustering Daily Solar-Radiation Time Series.- Clustering Daily Wind-Speed Time Series.- Concluding Remarks. Appendix: List-of-Functions.

Luigi Fortuna received the degree of electrical engineering (cum laude) from the University of Catania, Italy, in 1977. He is a Full Professor of system theory with the University Of Catania. He was the Coordinator of the courses in electronic engineering and the Head of the Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi. From 2005 to 2012, he was the Dean olÃ)