Soft Computing in Green and Renewable Energy Systems

Kasthurirangan Gopalakrishnan (u. a.)

ISBN 10: 3662520001 / ISBN 13: 9783662520000

Edité par Springer Berlin, 2016

Soft Computing in Green and Renewable Energy Systems | Kasthurirangan Gopalakrishnan (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Springer Berlin | EAN 9783662520000 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 109582063

Synopsis :

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.

Présentation de l'éditeur:

This practical introduction demonstrates how to apply soft computing and hybrid intelligent systems to a plethora of aspects of green and renewable energy systems, including design, modeling, characterization, optimization, and performance prediction.

Détails bibliographiques

Titre : Soft Computing in Green and Renewable Energy...
Éditeur : Springer Berlin
Date d'édition : 2016
Reliure : Taschenbuch
Etat : Neu