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dc.contributor.authorSalcedo-Sanz, Sancho
dc.contributor.authorPastor-Sanchez, Alvaro
dc.contributor.authorDel Ser, Javier
dc.contributor.authorPrieto, Luis
dc.contributor.authorGeem, Zong-Woo
dc.date.accessioned2016-06-06T11:35:05Z
dc.date.available2016-06-06T11:35:05Z
dc.date.issued2015-03
dc.identifier.citationRenewable Energy, Volume 75, Pages 93–101en
dc.identifier.issn0960-1481en
dc.identifier.urihttp://hdl.handle.net/11556/235
dc.descriptionCRO and HS for wind speed predictionen
dc.description.abstractThis paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel bio-inspired optimizer is utilized in the context of short-term wind speed prediction as a means to obtain the best set of meteorological variables to be input to a neural Extreme Learning Machine (ELM) network. The paper elaborates on the main characteristics of the proposed scheme and discusses its performance when predicting the wind speed based on the measures of two meteorological towers located in USA and Spain. The good results obtained in these experiments when compared to naïve versions of the CRO and HS algorithms are promising and pave the way towards the utilization of the derived hybrid solver in other optimization problems arising from diverse disciplines.en
dc.description.sponsorshipThis research work has been partially supported by Iberdrola, as well as by the Spanish Ministry of Economy and Competitiveness under project grant ECO2010-22065-C03-02.en
dc.language.isoengen
dc.publisherElsevieren
dc.titleA Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed predictionen
dc.typearticleen
dc.identifier.doi10.1016/j.renene.2014.09.027en
dc.isiYesen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsShort term wind speed predictionen
dc.subject.keywordsFeature selectionen
dc.subject.keywordsCoral Reefs Optimizationen
dc.subject.keywordsHarmony Searchen
dc.subject.keywordsExtreme learning machinesen


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