Hybrid prediction method of solar power using different computational intelligence algorithms Hossain, Rahat Md., Oo, Amanullah M. T. and Ali, A. B. M. Shawkat 2012, Hybrid prediction method of solar power using different computational intelligence algorithms, in AUPEC 2012 : Green smart grid systems : Proceedings of the Australasian Universities Power Engineering 2012 Conference, IEEE, Piscataway, N.J., pp. 1-6. Attached Files Name Description MIMEType Size Downloads Title Hybrid prediction method of solar power using different computational intelligence algorithms Author(s) Hossain, Rahat Md. Oo, Amanullah M. T. orcid.org/0000-0002-6914-2272 Ali, A. B. M. Shawkat Conference name Australasian Universities Power Engineering. Conference (22nd : 2012 : Denpasar, Bali) Conference location Denpasar, Bali Conference dates 26 - 29 Sep. 2012 Title of proceedings AUPEC 2012 : Green smart grid systems : Proceedings of the Australasian Universities Power Engineering 2012 Conference Editor(s) [Unknown] Publication date 2012 Conference series Australasian Universities Power Engineering Conference Start page 1 End page 6 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) computational intelligence heterogeneous regressions algorithms hybrid method mean absolute scaled error (MASE) performance evaluation Notes Article number : 6360239 ISBN 9791884722 9789791884723 Language eng Field of Research 090607 Power and Energy Systems Engineering (excl Renewable Power) 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) 090699 Electrical and Electronic Engineering not elsewhere classified Socio Economic Objective 850604 Energy Transmission and Distribution (excl. Hydrogen) HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30056486 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 03 Oct 2013, 11:22:29 EST Tue, 08 Oct 2013, 09:35:30 EST Fri, 08 Aug 2014, 15:34:34 EST Fri, 05 Jun 2015, 15:23:32 EST Mon, 12 Mar 2018, 12:39:18 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 13 times in Scopus Search Google Scholar Access Statistics: 370 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Thu, 03 Oct 2013, 11:22:29 EST

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