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dc.contributor.authorAta, R.
dc.date.accessioned2020-07-02T06:08:19Z
dc.date.available2020-07-02T06:08:19Z
dc.date.issued2018
dc.identifier.citationcited By 0
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85041560346&doi=10.1016%2fj.rser.2018.01.003&partnerID=40&md5=a62134bf08f6d16bc0da41d016ed1405
dc.identifier.urihttp://hdl.handle.net/20.500.12481/11576
dc.description.abstractThis article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief. This article bears substantial similarity to a previously published paper: Artificial neural networks in renewable energy systems applications: a review, Soteris A. Kalogirou, Renewable and Sustainable Energy Reviews, Volume 5, Issue 4, December 2001, Pages 373–401. DOI: 10.1016/S1364-0321(01)00006-5. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not been submitted to nor appeared in another publication elsewhere. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission or review process. © 2018, Elsevier Ltd
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.titleRetraction notice to “Artificial neural networks applications in wind energy systems: A review” [Renew Sustain Energy Rev (2015) 534−62](S1364032115004360)(10.1016/j.rser.2015.04.166)
dc.typeErratum
dc.contributor.departmentCelal Bayar University, Department of Electrical & Electronic Engineering, Manisa, Turkey
dc.identifier.DOI-ID10.1016/j.rser.2018.01.003
dc.identifier.volume84
dc.identifier.pages173


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