Artificial intelligence in energy and renewable energy systems /

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Bibliographic Details
Imprint:New York : Nova Science Publishers, c2007.
Description:xii, 471 p. : ill. (some col.), col. maps ; 27 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7705917
Hidden Bibliographic Details
Other authors / contributors:Kalogirou, Soteris.
ISBN:1600212611
9781600212611
Notes:Includes bibliographical references and index.
committed to retain 20170930 20421213 HathiTrust
Description
Summary:This book presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. It covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities dealing with modelling and performance prediction of energy and renewable energy systems.
Physical Description:xii, 471 p. : ill. (some col.), col. maps ; 27 cm.
Bibliography:Includes bibliographical references and index.
ISBN:1600212611
9781600212611