Soft Computing in Green and Renewable Energy Systems

  • Kasthurirangan Gopalakrishnan
  • Siddhartha Kumar Khaitan
  • Soteris Kalogirou

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 269)

Table of contents

  1. Front Matter
  2. Gabriele Zini, Simone Pedrazzi, Paolo Tartarini
    Pages 37-64
  3. Arzu Şencan Şahin, Soteris A. Kalogirou
    Pages 65-95
  4. Olav Krause, Sebastian Lehnhoff
    Pages 117-156
  5. Alexandre Barin, Luciane N. Canha, Karine M. Magnago, Manuel A. Matos, Breno Wottrich
    Pages 183-198
  6. Lawrence K. Letting, Josiah L. Munda, Yskandar Hamam
    Pages 233-260
  7. Silas Michaelides, Filippos Tymvios, Dimitris Paronis, Adrianos Retalis
    Pages 285-304
  8. Back Matter

About this book


Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful. 


Green Energy Renewable Energy Soft Computing

Editors and affiliations

  • Kasthurirangan Gopalakrishnan
    • 1
  • Siddhartha Kumar Khaitan
    • 2
  • Soteris Kalogirou
    • 3
  1. 1.Civil Engineering Associate, Ames Lab, US Department of Energy Research Affiliate, Iowa Bioeconomy InstituteIowa State UniversityAmesUSA
  2. 2.Department of Electrical and Computer EngineeringIowa State UniversityAmesUSA
  3. 3.Department of Mechanical Engineering and Materials Sciences and EngineeringCyprus University of TechnologyLimassolCyprus

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-22175-0
  • Online ISBN 978-3-642-22176-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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