Overview
- 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
Part of the book series: SpringerBriefs in Energy (BRIEFSENERGY)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
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.Authors and Affiliations
About the authors
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 of the Engineering Faculty. He currently teaches complex adaptive systems and robust control. He has published more than 500 technical papers and twelve scientific books. His scientific interests include robust control, nonlinear science and complexity, chaos, cellular neural networks, soft-computing strategies for control, robotics, micronanosensor and smart devices for control, and nanocellular neural networks modeling. Dr. Fortuna was the IEEE Circuits and Systems (CAS) Chairman of the CNN Technical Committee, IEEE CAS Distinguished Lecturer from 2001 to 2002, and IEEE Chairman of the IEEE CAS Chapter Central-South Italy.
Giuseppe Nunnari received the “Laurea” degree in electrical engineering (cum laudae) from the University of Catania, Catania, Italy, in 1979. He was a software engineer in private companies until 1983 and Researcher of the Italian National Research Council (CNR), from May 1983 to October 1992, where he carried out research concerning the modelling and processing of geophysical data. From November 1992 he joined with the University of Catania, Faculty of Engineering, were he has served as associate professor of System Theory and Automatic Control, till September 2001 and as a professor up to the present days. His research interests include the modelling and control of dynamic systems, signal and image processing, soft computing and modelling of environmental systems. He is author or co-author of about 230 scientific papers published in international journals, conference proceedings and books chapters. He has also co-authored 3 scientific books published by international publishers.
Silvia Nunnari received the degree in computer engineering in 2010, the master degree in computer engineering in 2012 and a PhD in Systems Engineering in 2015. She has co-authored 6 papers in international journals and conference proceedings.Bibliographic Information
Book Title: Nonlinear Modeling of Solar Radiation and Wind Speed Time Series
Authors: Luigi Fortuna, Giuseppe Nunnari, Silvia Nunnari
Series Title: SpringerBriefs in Energy
DOI: https://doi.org/10.1007/978-3-319-38764-2
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-319-38763-5Published: 28 June 2016
eBook ISBN: 978-3-319-38764-2Published: 21 June 2016
Series ISSN: 2191-5520
Series E-ISSN: 2191-5539
Edition Number: 1
Number of Pages: XV, 98
Number of Illustrations: 8 b/w illustrations, 49 illustrations in colour
Topics: Renewable and Green Energy, Power Electronics, Electrical Machines and Networks, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences