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Short term wind power forecasting using hybrid intelligent systems

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3 Author(s)
M. Negnevitsky ; Professor, Member, IEEE, University of Tasmania, Hobart, Australia. ; P. Johnson ; S. Santoso

This panel paper summarizes the current trends in wind power development and describes a proposed approach for short term wind power forecasting using a hybrid intelligent system.

Published in:

Power Engineering Society General Meeting, 2007. IEEE

Date of Conference:

24-28 June 2007