Sinossi
Demand-side management (DSM) and peak load management are common techniques in contemporary energy supply. This thesis investigates how new concepts and technologies in computer science and electrical engineering can be applied to the problem of demand-side management. Individual energy consumers are equipped with some computing power and integrated into a communications network. These two measures enable them to cooperate with each other perform DSM. The aim of this thesis is to examine how distributed artificial intelligence integrates with industrial networks to form a new generation of DSM. The result is a highly distributed system that uses parallel genetic algorithms or negotiation strategies. This system has an advantage over former DSM systems in that it is more flexible and scalable. The performance of the algorithms is tested and evaluated by simulation.
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L'autore
Peter Palensky is head of the Business Unit for Sustainable Building Technologies at the AIT, Austria. He was assoc.Prof. at the Univ. Pretoria, ass.Prof. at the Vienna Univ. of Technology, and researcher at the Lawrence Berkeley National Laboratory. He does research in distributed systems, home and building automation and energy management.
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Distributed Reactive Energy Management
Editore:
LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838380614
ISBN 13: 9783838380612
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Demand-side management (DSM) and peak load management are common techniques in contemporary energy supply. This thesis investigates how new concepts and technologies in computer science and electrical engineering can be applied to the problem of demand-side management. Individual energy consumers are equipped with some computing power and integrated into a communications network. These two measures enable them to cooperate with each other perform DSM. The aim of this thesis is to examine how distributed artificial intelligence integrates with industrial networks to form a new generation of DSM. The result is a highly distributed system that uses parallel genetic algorithms or negotiation strategies. This system has an advantage over former DSM systems in that it is more flexible and scalable. The performance of the algorithms is tested and evaluated by simulation. 208 pp. Englisch. Codice articolo 9783838380612
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Distributed Reactive Energy Management
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ISBN 13: 9783838380612
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Palensky PeterPeter Palensky is head of the Business Unit for Sustainable Building Technologies at the AIT, Austria. He was assoc.Prof. at the Univ. Pretoria, ass.Prof. at the Vienna Univ. of Technology, and researcher at the Lawrenc. Codice articolo 5418331
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Distributed Reactive Energy Management | Algorithms for electric load management
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838380614
ISBN 13: 9783838380612
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Taschenbuch. Condizione: Neu. Distributed Reactive Energy Management | Algorithms for electric load management | Peter Palensky | Taschenbuch | 208 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838380612 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 101014021
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Distributed Reactive Energy Management
Editore:
LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838380614
ISBN 13: 9783838380612
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Demand-side management (DSM) and peak load management are common techniques in contemporary energy supply. This thesis investigates how new concepts and technologies in computer science and electrical engineering can be applied to the problem of demand-side management. Individual energy consumers are equipped with some computing power and integrated into a communications network. These two measures enable them to cooperate with each other perform DSM. The aim of this thesis is to examine how distributed artificial intelligence integrates with industrial networks to form a new generation of DSM. The result is a highly distributed system that uses parallel genetic algorithms or negotiation strategies. This system has an advantage over former DSM systems in that it is more flexible and scalable. The performance of the algorithms is tested and evaluated by simulation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch. Codice articolo 9783838380612
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Distributed Reactive Energy Management : Algorithms for electric load management
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838380614
ISBN 13: 9783838380612
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Demand-side management (DSM) and peak load management are common techniques in contemporary energy supply. This thesis investigates how new concepts and technologies in computer science and electrical engineering can be applied to the problem of demand-side management. Individual energy consumers are equipped with some computing power and integrated into a communications network. These two measures enable them to cooperate with each other perform DSM. The aim of this thesis is to examine how distributed artificial intelligence integrates with industrial networks to form a new generation of DSM. The result is a highly distributed system that uses parallel genetic algorithms or negotiation strategies. This system has an advantage over former DSM systems in that it is more flexible and scalable. The performance of the algorithms is tested and evaluated by simulation. Codice articolo 9783838380612
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Distributed Reactive Energy Management: Algorithms for electric load management
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838380614
ISBN 13: 9783838380612
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838383806146
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