£108.37

Springer Soft Computing in Green and Renewable Energy Systems

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Description

Explore the practical application of soft computing and hybrid intelligent systems within the renewable energy sector. This book, part of the Studies in Fuzziness and Soft Computing series, provides a direct guide for understanding how advanced computational methods can improve green energy technologies. Readers will learn how to implement these intelligent systems across multiple stages of energy development. The text covers essential processes including design, modeling, and characterization. It also provides methods for the optimization and performance prediction of various renewable energy systems, making it a valuable resource for those studying computer science, AI, and machine learning applied to sustainable energy solutions.

Key Features

Learn to apply soft computing and hybrid intelligent systems to a wide range of green energy aspects.

Gain practical knowledge for the design and modeling of renewable energy technologies.

Understand methods for the characterization of various green energy systems.

Explore techniques for the optimization of energy performance and efficiency.

Develop skills in performance prediction for renewable energy systems through intelligent modeling.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2016
Listed Since
23 June 2016

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