Energy Management—Collective and Computational Intelligence with Theory and Applications
Editors: Kahraman, Cengiz, Kayakutlu, Gülgün (Eds.)
Free Preview- Presents cases and examples of collective and computational intelligence applications in the energy industry Includes collective and computational intelligence techniques such as ant colony optimization, swarm optimization, simulated annealing, genetic algorithms, neural networks, and fuzzy sets Offers essential insights for the investigation and projection of energy plans and schedules using the most recent analytical methods from collective and computational intelligence
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- About this book
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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.
- Table of contents (24 chapters)
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Complexity in Energy Systems
Pages 3-13
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Fuzzy Sets Applications in Complex Energy Systems: A Literature Review
Pages 15-37
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Forecasting Super-Efficient Dryers Adoption in the Pacific Northwest
Pages 41-64
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Fuzzy Forecasting Methods for Energy Planning
Pages 65-81
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Smart Storage Scheduling and Forecasting for Peak Reduction on Low-Voltage Feeders
Pages 83-107
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Table of contents (24 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Energy Management—Collective and Computational Intelligence with Theory and Applications
- Editors
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- Cengiz Kahraman
- Gülgün Kayakutlu
- Series Title
- Studies in Systems, Decision and Control
- Series Volume
- 149
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG, part of Springer Nature
- eBook ISBN
- 978-3-319-75690-5
- DOI
- 10.1007/978-3-319-75690-5
- Hardcover ISBN
- 978-3-319-75689-9
- Softcover ISBN
- 978-3-030-09299-3
- Series ISSN
- 2198-4182
- Edition Number
- 1
- Number of Pages
- XV, 554
- Number of Illustrations
- 52 b/w illustrations, 69 illustrations in colour
- Topics
