Intelligent Automation in Renewable Energy

• Main Authors: Baydyk, Tetyana (Author, http://id.loc.gov/vocabulary/relators/aut), Kussul, Ernst (http://id.loc.gov/vocabulary/relators/aut), Wunsch II, Donald C. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Computational Intelligence Methods and Applications,
• Subjects: Artificial intelligence.; Computational intelligence.; Renewable energy resources.; Artificial Intelligence.; Computational Intelligence.; Renewable and Green Energy.
• Physical Description: XII, 285 p. 232 illus., 101 illus. in color. online resource.
• ISBN: 9783030022365
• ISSN: 2510-1765
• DOI: 10.1007/978-3-030-02236-5

After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.