The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP (Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, ES has contributed to reducing the excessive computing time maintaining the reliable accuracy...
Optimal design of the direct-driven permanent magnet(PM) wind generator, combined with F.E.A(finite element analysis) and genetic algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the proposed parallel computing via internet web service has contributed to reducing...
Optimal design of the direct-driven PM wind generator, coupled with finite element analysis and genetic algorithm, has been performed to maximize the annual energy production over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization.
Optimal design of the direct-driven PM wind generator, coupled with F.E.A(finite element analysis) and genetic algorithm(GA), has been performed to maximize the annual energy production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Internet distributed computing is proposed for the real world and complex optimization such as optimal design of direct-driven...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.