khatib aubai (10 risultati)

Condizione: New.

Taschenbuch. Condizione: Neu. The Artificial Neural Networks in the wind energy industry | Wind speed prediction tool using Artificial neural network for wind park design | Aubai Al khatib (u. a.) | Taschenbuch | 196 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846599129 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Condizione: Brand New. 196 pages. 8.66x5.91x0.45 inches. In Stock.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this book is to show the different prediction possibilities in wind speed by using the artificial neural network for the time shift wind speed prediction using Matlab program. Additionally using the WASP program for sizing a suggested wind farm and do the prediction possibilities horizontally and vertically. Also the steps for sizing the suggested wind speed prediction tool were included. And the pre-steps to be done for the input data before processed by the proposed ANN tool. An error calculation was also carried out in order to evaluate the performance of the suggested ANN prediction tool and to show the improvement of errors with the different approaches. The best root square error was /0.0505/. Information about wind data were obtained by the help of the Syrian research center. A complete 100 [MW] wind farm module was studied using the WASP program, with the help of Grid integration of Al Haijana Wind Park study [ ]. V90 turbine from Vestas was selected for this wind farm. A detailed study for the awake effect was done using the WASP program. 196 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al khatib AubaiAubai AL Khatib Date and place of birth: 24October, 1985 (Damascus)Education Master in Renewable energies ,2009-2010B.Sc. in Electrical Engineering (renewable energydepartment), 2003-2008The purpose of this book is.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The purpose of this book is to show the different prediction possibilities in wind speed by using the artificial neural network for the time shift wind speed prediction using Matlab program. Additionally using the WASP program for sizing a suggested wind farm and do the prediction possibilities horizontally and vertically. Also the steps for sizing the suggested wind speed prediction tool were included. And the pre-steps to be done for the input data before processed by the proposed ANN tool. An error calculation was also carried out in order to evaluate the performance of the suggested ANN prediction tool and to show the improvement of errors with the different approaches. The best root square error was /0.0505/. Information about wind data were obtained by the help of the Syrian research center. A complete 100 [MW] wind farm module was studied using the WASP program, with the help of 'Grid integration of Al Haijana Wind Park' study [ ]. V90 turbine from Vestas was selected for this wind farm. A detailed study for the awake effect was done using the WASP program.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this book is to show the different prediction possibilities in wind speed by using the artificial neural network for the time shift wind speed prediction using Matlab program. Additionally using the WASP program for sizing a suggested wind farm and do the prediction possibilities horizontally and vertically. Also the steps for sizing the suggested wind speed prediction tool were included. And the pre-steps to be done for the input data before processed by the proposed ANN tool. An error calculation was also carried out in order to evaluate the performance of the suggested ANN prediction tool and to show the improvement of errors with the different approaches. The best root square error was /0.0505/. Information about wind data were obtained by the help of the Syrian research center. A complete 100 [MW] wind farm module was studied using the WASP program, with the help of Grid integration of Al Haijana Wind Park study [ ]. V90 turbine from Vestas was selected for this wind farm. A detailed study for the awake effect was done using the WASP program.