Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids Qadir, Z, Khan, SI, Khalaji, E, Munawar, HS, Al-Turjman, F, Mahmud, M A Parvez, Kouzani, Abbas and Le, K 2021, Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids, Energy Reports, pp. 1-11, doi: 10.1016/j.egyr.2021.01.018. Attached Files Name Description MIMEType Size Downloads Title Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids Author(s) Qadir, Z Khan, SI Khalaji, E Munawar, HS Al-Turjman, F Mahmud, M A Parvez orcid.org/0000-0002-1905-6800 Kouzani, Abbas orcid.org/0000-0002-6292-1214 Le, K Journal name Energy Reports Start page 1 End page 11 Total pages 11 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2021-01-21 ISSN 2352-4847 2352-4847 Keyword(s) Smart grids Regression models Feature selection Prediction accuracy Renewable energy system ANN RFECV Notes In Press Language eng DOI 10.1016/j.egyr.2021.01.018 Indigenous content off Field of Research 0906 Electrical and Electronic Engineering 0913 Mechanical Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30147765 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering 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 Tue, 02 Feb 2021, 07:10:47 EST Wed, 03 Feb 2021, 04:01:10 EST Wed, 03 Feb 2021, 07:18:22 EST Wed, 03 Feb 2021, 11:22:05 EST Thu, 04 Feb 2021, 05:04:20 EST Fri, 19 Feb 2021, 13:57:57 EST Fri, 19 Feb 2021, 13:59:25 EST Fri, 19 Feb 2021, 15:10:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 8 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 03 Feb 2021, 11:22:05 EST

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