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Correction: Ferreira, P.M., et al. A neural network based intelligent predictive sensor for cloudiness, solar radiation and air temperature. Sensors 2012, 12, 15750–15777

dc.contributor.authorFerreira, P. M.
dc.contributor.authorGomes, João M.
dc.contributor.authorMartins, I.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2014-07-23T13:35:55Z
dc.date.available2014-07-23T13:35:55Z
dc.date.issued2013
dc.date.updated2014-07-16T14:32:22Z
dc.description.abstractAccurate measurements of global solar radiation and atmospheric temperature, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight and portable sensor was developed, using artificial neural network models as the time-series predictor mechanisms. These have been identified with the aid of a procedure based on the multi-objective genetic algorithm. As cloudiness is the most significant factor affecting the solar radiation reaching a particular location on the Earth surface, it has great impact on the performance of predictive solar radiation models for that location. This work also represents one step towards the improvement of such models by using ground-to-sky hemispherical colour digital images as a means to estimate cloudiness by the fraction of visible sky corresponding to clouds and to clear sky. The implementation of predictive models in the prototype has been validated and the system is able to function reliably, providing measurements and four-hour forecasts of cloudiness, solar radiation and air temperature.por
dc.identifier.citationFerreira, Pedro; Gomes, João; Martins, Igor; Ruano, António. Correction: Ferreira, P.M., et al. A Neural Network Based Intelligent Predictive Sensor for Cloudiness, Solar Radiation and Air Temperature. Sensors 2012, 12, 15750–15777, Sensors, 13, 7, 9547-9548, 2013.por
dc.identifier.doihttp://dx.doi.org/ 10.3390/s130709547
dc.identifier.issn1424-8220
dc.identifier.otherAUT: JGO00770; ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/4815
dc.language.isoengpor
dc.peerreviewedyespor
dc.relationIntelligent use of energy in public buildings
dc.relationComputational intelligence methods in time-series analysis and forecasting with application to energy management systems
dc.relation.publisherversionhttp://www.mdpi.com/1424-8220/13/7/9547por
dc.subjectTemperature predictionpor
dc.subjectGenetic algorithmspor
dc.subjectSolarpor
dc.subjectCloudiness estimationpor
dc.subjectNeural networkspor
dc.subjectSensor fusionpor
dc.subjectIntelligent sensorpor
dc.titleCorrection: Ferreira, P.M., et al. A neural network based intelligent predictive sensor for cloudiness, solar radiation and air temperature. Sensors 2012, 12, 15750–15777por
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleIntelligent use of energy in public buildings
oaire.awardTitleComputational intelligence methods in time-series analysis and forecasting with application to energy management systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FSEN-ENR%2F115974%2F2009/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FENR%2F73345%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/239451/EU
oaire.citation.endPage9548por
oaire.citation.startPage9547por
oaire.citation.titleSensorspor
oaire.citation.volume13por
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamFP7
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspor
rcaap.typearticlepor
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relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2
relation.isProjectOfPublication35c56c06-b91f-40d0-a7b0-ce46386d0c59
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