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Wind Power Systems, Gebunden
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Wind Power Systems, Gebunden - nieuw boek

2010, ISBN: 3642132499

Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a na… Meer...

Nr. 24167983. Verzendingskosten:, 2-5 Werktage, DE. (EUR 0.00)
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Wind Power Systems Applications of Computational Intelligence - Wang, Lingfeng (Herausgeber); Kusiak, Andrew (Herausgeber); Singh, Chanan (Herausgeber)
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Wang, Lingfeng (Herausgeber); Kusiak, Andrew (Herausgeber); Singh, Chanan (Herausgeber):

Wind Power Systems Applications of Computational Intelligence - gebonden uitgave, pocketboek

2010, ISBN: 3642132499

2010 Gebundene Ausgabe Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Mathematik / Technik, Ingenieurwissenschaften, Handwerk, Elektrotechnik, Alternative und er… Meer...

Verzendingskosten:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
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Wind Power Systems Applications of Computational Intelligence - Wang, Lingfeng, Chanan Singh und Andrew Kusiak
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Wang, Lingfeng, Chanan Singh und Andrew Kusiak:
Wind Power Systems Applications of Computational Intelligence - gebonden uitgave, pocketboek

2010

ISBN: 3642132499

[EAN: 9783642132490], Gebraucht, guter Zustand, [SC: 0.0], [PU: Springer Berlin], STABILITY,GENERATOR,ELECTRICAL ENGINEERING,COMPUTATIONAL INTELLIGENCE,OPTIMIZATION,TRANSMISSION,SIGNAL,FU… Meer...

NOT NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) Buchpark, Trebbin, Germany [83435977] [Rating: 5 (von 5)]
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Wang, Lingfeng, Chanan Singh und Andrew Kusiak:
Wind Power Systems Applications of Computational Intelligence 2010 - gebruikt boek

2010, ISBN: 9783642132490

2010 Neubindung, Buchschnitt leicht verkürzt, Buchrücken leicht angestoßen, Auflage 2010 7663356/12 Versandkostenfreie Lieferung stability,Generator,electrical engineering,computational i… Meer...

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Wind Power Systems - Lingfeng Wang; Chanan Singh; Andrew Kusiak
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Lingfeng Wang; Chanan Singh; Andrew Kusiak:
Wind Power Systems - gebonden uitgave, pocketboek

2010, ISBN: 9783642132490

Applications of Computational Intelligence, Buch, Hardcover, 2010, [PU: Springer Berlin], Springer Berlin, 2010

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Wind Power Systems

Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation's energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution.Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods, the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines.

Gedetalleerde informatie over het boek. - Wind Power Systems


EAN (ISBN-13): 9783642132490
ISBN (ISBN-10): 3642132499
Gebonden uitgave
Verschijningsjaar: 2010
Uitgever: Springer Berlin
430 Bladzijden
Gewicht: 0,918 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-03-05T04:13:12+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-01-31T14:35:50+01:00 (Amsterdam)
ISBN/EAN: 9783642132490

ISBN - alternatieve schrijfwijzen:
3-642-13249-9, 978-3-642-13249-0
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: andrews, wang ling, task
Titel van het boek: green technologies applications, the power now, wind


Gegevens van de uitgever

Auteur: Lingfeng Wang; Chanan Singh; Andrew Kusiak
Titel: Green Energy and Technology; Wind Power Systems - Applications of Computational Intelligence
Uitgeverij: Springer; Springer Berlin
440 Bladzijden
Verschijningsjaar: 2010-06-09
Berlin; Heidelberg; DE
Gedrukt / Gemaakt in
Gewicht: 0,923 kg
Taal: Engels
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
X, 440 p.

BB; Renewable and Green Energy; Hardcover, Softcover / Technik/Wärmetechnik, Energietechnik, Kraftwerktechnik; Alternative und erneuerbare Energiequellen und -technik; Verstehen; Ingenieurwissenschaften; Generator; Signal; algorithm; algorithms; computational intelligence; control; electrical engineering; fuzzy; genetic algorithms; intelligence; optimization; power systems; stability; transmission; wind; Mathematical and Computational Engineering; Artificial Intelligence; Power Electronics, Electrical Machines and Networks; Renewable and Green Energy; Renewable Energy; Mathematical and Computational Engineering Applications; Artificial Intelligence; Electrical Power Engineering; Mathematik für Ingenieure; Künstliche Intelligenz; Elektrotechnik; BC; EA; BA

From the Contents: Optimal Allocation of Power-Electronic Interfaced Wind Turbines Using a Genetic Algorithm - Monte Carlo Hybrid Optimization Method.- Optimal Conductor Size Selection in Distribution Systems with Wind Power Generation.- Global optimization of wind farms using evolutive algorithms.- Capacity Benefit Margin Evaluation in Multi-Area Power Systems Including Wind Power Generation Using Particle Swarm Optimization.- Global optimization of wind farms using evolutive algorithms.- Global optimization of wind farms using evolutive algorithms.- Wind Turbine Diagnostics based on Power Curve Using Particle Swarm Optimization.- Optimal controller design of a wind turbine with doubly fed induction generator for small signal stability enhancement.

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