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Energy Management—Collective and Com...
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Kayakutlu, Gülgün.
Energy Management—Collective and Computational Intelligence with Theory and Applications
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Energy Management—Collective and Computational Intelligence with Theory and Applications/ edited by Cengiz Kahraman, Gülgün Kayakutlu.
other author:
Kahraman, Cengiz.
Description:
XV, 554 p. 121 illus., 69 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-75690-5
ISBN:
9783319756905
Energy Management—Collective and Computational Intelligence with Theory and Applications
Energy Management—Collective and Computational Intelligence with Theory and Applications
[electronic resource] /edited by Cengiz Kahraman, Gülgün Kayakutlu. - 1st ed. 2018. - XV, 554 p. 121 illus., 69 illus. in color.online resource. - Studies in Systems, Decision and Control,1492198-4182 ;. - Studies in Systems, Decision and Control,27.
This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.
ISBN: 9783319756905
Standard No.: 10.1007/978-3-319-75690-5doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Energy Management—Collective and Computational Intelligence with Theory and Applications
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