Energy Management—Collective and Computational Intelligence with Theory and Applications
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Beschreibung
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.
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, fuzzy sets
Gives insights for investigation and projection of energy plans and schedules using the most recent analytical methods classified in collective and computational intelligence
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
Autor*in
Cengiz Kahraman
Themen in »Energy Management—Collective and Computational Intelligence with Theory and Applications«
Collective Intelligence for Energy Computational Intelligence for Energy Energy Planning Energy Forecasting Renewable Energy Analytics