Intelligent Automation in Renewable Energy

• Κύριοι συγγραφείς: Baydyk, Tetyana (Συγγραφέας, 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)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Computational Intelligence Methods and Applications,
• Θέματα: Artificial intelligence.; Computational intelligence.; Renewable energy resources.; Artificial Intelligence.; Computational Intelligence.; Renewable and Green Energy.
• Φυσική περιγραφή: 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.