Wind power systems applications (9 Ergebnisse)
Sprache: Englisch
Verlag: SPRINGER, 2018
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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed… on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Springer, 2010
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2012
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Sprache: Englisch
Verlag: Springer, 2012
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Taschenbuch. Zustand: Neu. Wind Power Systems | Applications of Computational Intelligence | Lingfeng Wang (u. a.) | Taschenbuch | x | Englisch | 2012 | Springer | EAN 9783642263637 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter:… preigu.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2012
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Sprache: Englisch
Verlag: Springer, 2010
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Wind Power Systems: Applications of Computational Intelligence
Wang, Lingfeng (Editor)/ Singh, Chanan (Editor)/ Kusiak, Andrew (Editor)
Sprache: Englisch
Verlag: Springer Verlag, 2013
- Softcover
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Paperback. Zustand: Brand New. 2010 edition. 450 pages. 9.20x6.10x1.18 inches. In Stock.
Wind Power Systems: Applications Of Computational Intelligence
Eds.: Wang, Lingfeng; Singh, Chanan; Kusiak, Andrew; Wang, Lingfeng; Singh, Chanan; Kusiak, Andrew
Sprache: Englisch
Verlag: Springer, Berlin, 2010
- Hardcover
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Hardcover. Zustand: Brand New. 430 pages. 9.50x6.25x1.00 inches. In Stock.
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Hardcover. Zustand: Brand New. 211 pages. 10.00x7.00x0.50 inches. In Stock.
