Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C. 2020, Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms, Renewable and sustainable energy reviews, vol. 132, pp. 1-14, doi: 10.1016/j.rser.2020.110003. Attached Files Name Description MIMEType Size Downloads Title Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms Author(s) Ali, Mumtaz orcid.org/0000-0002-6975-5159 Prasad, Ramendra Xiang, Yong orcid.org/0000-0003-3545-7863 Deo, Ravinesh C. Journal name Renewable and sustainable energy reviews Volume number 132 Article ID 110003 Start page 1 End page 14 Total pages 14 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-10 ISSN 1364-0321 Keyword(s) Wave energy Significant wave height MLR CWLS MARS M5 tree Language eng DOI 10.1016/j.rser.2020.110003 Indigenous content off Field of Research 09 Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30140443 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version 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 Sat, 25 Jul 2020, 20:06:30 EST Sun, 26 Jul 2020, 05:00:04 EST Mon, 27 Jul 2020, 08:03:19 EST Tue, 28 Jul 2020, 06:06:07 EST Sat, 08 Aug 2020, 02:33:03 EST Thu, 20 Aug 2020, 16:44:08 EST Thu, 20 Aug 2020, 16:46:08 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 18 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Sat, 25 Jul 2020, 20:06:30 EST

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