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Energy Management-Collective and Computational Intelligence with Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R5,035
Discovery Miles 50 350
You Save: R1,376 (21%)
Energy Management-Collective and Computational Intelligence with Theory and Applications (Paperback, Softcover reprint of the...

Energy Management-Collective and Computational Intelligence with Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2018)

Cengiz Kahraman, Gulgun Kayakutlu

Series: Studies in Systems, Decision and Control, 149

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Was R6,411 Loot Price R5,035 Discovery Miles 50 350 | Repayment Terms: R472 pm x 12* You Save R1,376 (21%)

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Systems, Decision and Control, 149
Release date: December 2018
First published: 2018
Editors: Cengiz Kahraman • Gulgun Kayakutlu
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 554
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-03-009299-3
Categories: Books > Professional & Technical > Energy technology & engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-009299-2
Barcode: 9783030092993

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