Khattab Hussein (4 results)

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 58.86
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Taschenbuch. Condition: Neu. Innovative Approaches for Power System Security Assessment | Artificial Neural Networks, Gene Expression Programming and Simulated Annealing | Hussein M. Khattab (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659324666 | Verantwortliche Person für die EU: preigu GmbH & C…o. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Innovative Approaches For Power System Security Assessment: Artificial Neural Networks, Gene Expression Programming And Simulated Annealing
Khattab, Hussein M.; Abdelaziz, Almoataz Y.; Mekhamer, Said F.; Khattab, Hussein M.; Abdelaziz, Almoataz Y.; Mekhamer, Said F.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 224 pages. 8.66x5.91x0.51 inches. In Stock.

- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 57.02
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khattab Hussein M.He received B.Sc., M.Sc., and Ph.D. in electrical engineering from Ain Shams University, Egypt in 2001, 2005 and 2012 respectively. He is an electrical enginee…r in Engineering for the Petroleum and Process Industrie.

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 70.76
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Power systems security assessment and enhancement is of utmost importance as a result of power systems expansions and operation near their security limits. In this book, the assessment of power system static and transient securities is p…resented. Different IEEE test systems are subjected to static and transient security classification when prone to different contingencies using novel artificial intelligence techniques based on artificial neural networks and gene expression programming. Results show the superiority of the gene expression programming based algorithm as well as the probabilistic neural network based classifier algorithm in comparison with back-propagation and radial basis function neural network based classifiers. The system static security is enhanced using thyristor controlled series capacitors (TCSC s) installed in series with the lines. A developed approach for placement and sizing of TCSC s is presented based on ranking method together with the simulated annealing optimization technique. The book provides extensive survey of security assessment and enhancement techniques as well as a step by step application guide to assessing and enhancing system security.