dc.contributor.author | Ata, R. | |
dc.date.accessioned | 2020-07-02T06:08:19Z | |
dc.date.available | 2020-07-02T06:08:19Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | cited By 0 | |
dc.identifier.uri | https://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.uri | http://hdl.handle.net/20.500.12481/11576 | |
dc.description.abstract | This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief.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.iso | English | |
dc.publisher | Elsevier Ltd | |
dc.title | Retraction 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.type | Erratum | |
dc.contributor.department | Celal Bayar University, Department of Electrical & Electronic Engineering, Manisa, Turkey | |
dc.identifier.DOI-ID | 10.1016/j.rser.2018.01.003 | |
dc.identifier.volume | 84 | |
dc.identifier.pages | 173 | |