Soft Computing in Green and Renewable Energy Systems

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. Re...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Gopalakrishnan, Kasthurirangan (Editor ), Khaitan, Siddhartha Kumar (Editor ), Kalogirou, Soteris (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Fuzziness and Soft Computing, 269
Temas:
Computational intelligence.
Renewable energy sources.
Artificial intelligence.
Environmental engineering.
Biotechnology.
Bioremediation.
Computational Intelligence.
Renewable Energy.
Artificial Intelligence.
Environmental Engineering/Biotechnology.
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