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.
