Intelligent automation in renewable energy /

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Bibliographic Details
Author / Creator:	Baydyk, Tetyana, author.
Imprint:	Cham : Springer, [2019]
Description:	1 online resource (xii, 285 pages)
Language:	English
Series:	Computational intelligence methods and applications Computational intelligence methods and applications.
Subject:	Smart power grids. Electric power distribution -- Automation. Electric power systems -- Technological innovations. TECHNOLOGY & ENGINEERING -- Mechanical. Electric power distribution -- Automation. Electric power systems -- Technological innovations. Smart power grids. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11792341

Hidden Bibliographic Details
Other authors / contributors:	Kussul, Ernst, author. Wunsch, Donald C., author.
ISBN:	9783030022365 3030022366 9783030022372 3030022374 9783030022358 3030022358
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Online resource; title from PDF title page (EBSCO, viewed February 6, 2019)
Summary:	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.
Other form:	Print version: Baydyk, Tetyana. Intelligent automation in renewable energy. Cham : Springer, [2019] 3030022358 9783030022358
Standard no.:	10.1007/978-3-030-02236-5 10.1007/978-3-030-02

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