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Prediction of surface currents using high frequency codar data and decision tree at a marine renewable energy test site

dc.contributor.authorRen, Lei
dc.contributor.authorHartnett, Michael
dc.date.accessioned2018-09-20T16:22:42Z
dc.date.available2018-09-20T16:22:42Z
dc.date.issued2017-02-01
dc.identifier.citationRen, Lei; Hartnett, Michael (2017). Prediction of surface currents using high frequency codar data and decision tree at a marine renewable energy test site. Energy Procedia 107 , 345-350
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/10379/13631
dc.publisherElsevier BV
dc.relation.ispartofEnergy Procedia
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectsurface currents
dc.subjectdecision tree
dc.subjectmarine renewable energy
dc.subjectprediction
dc.subjectgalway bay
dc.subjectscatter index
dc.subjectcorrelation
dc.subjectcodar
dc.subjectradars
dc.subjectneural-networks
dc.titlePrediction of surface currents using high frequency codar data and decision tree at a marine renewable energy test site
dc.typeArticle
dc.identifier.doi10.1016/j.egypro.2016.12.171
dc.local.publishedsourcehttps://doi.org/10.1016/j.egypro.2016.12.171
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland