Editors:
- State-of-the-art applications of soft computing techniques to green and renewable energy systems
- Presents soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems
- Written by leading experts in the field
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 269)
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Table of contents (11 chapters)
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Front Matter
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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.
Editors and Affiliations
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Civil Engineering Associate, Ames Lab, US Department of Energy Research Affiliate, Iowa Bioeconomy Institute, Iowa State University, Ames, USA
Kasthurirangan Gopalakrishnan
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Department of Electrical and Computer Engineering, Iowa State University, Ames, USA
Siddhartha Kumar Khaitan
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Department of Mechanical Engineering and Materials Sciences and Engineering, Cyprus University of Technology, Limassol, Cyprus
Soteris Kalogirou
Bibliographic Information
Book Title: Soft Computing in Green and Renewable Energy Systems
Editors: Kasthurirangan Gopalakrishnan, Siddhartha Kumar Khaitan, Soteris Kalogirou
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-642-22176-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-22175-0Published: 20 August 2011
Softcover ISBN: 978-3-662-52000-0Published: 23 August 2016
eBook ISBN: 978-3-642-22176-7Published: 20 August 2011
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 305
Topics: Computational Intelligence, Renewable and Green Energy, Artificial Intelligence, Environmental Engineering/Biotechnology