Nonlinear Modeling of Solar Radiation and Wind Speed Time Series
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Beschreibung
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.Shows the researcher and practising engineer how to use time-series forecasting to help integrate intermittent sources of renewable power into the grid Teaches students the essentials of applied time-series analysis Provides the reader with software package and data set that helps put the methods described into practice Includes supplementary material: sn.pub/extras
Autor*in
Luigi Fortuna
Themen in »Nonlinear Modeling of Solar Radiation and Wind Speed Time Series«
Time-Series Analysis Renewable Energy Solar Radiation Wind Power Integration of Generating Capacity within the Power Grid Smartgrid Integration of Intermittent Energy Supply