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A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira

2018Journal article Open access
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dc.contributor.authorTorabi, Roham
dc.contributor.authorRodrigues, Sandy
dc.contributor.authorCafôfo, Nuno
dc.contributor.authorPereira, Lucas
dc.contributor.authorQuintal, Filipe
dc.contributor.authorNunes, Nuno
dc.contributor.authorDias, Fernando Morgado
dc.date.accessioned2022-01-31T15:01:31Z
dc.date.available2022-01-31T15:01:31Z
dc.date.issued2018
dc.description.abstractThis paper describes recent work on the development of a wireless-based remote monitoring system for household energy consumption and generation in Madeira Island, Portugal. It contains three different main sections: (1) a monitoring system for consumed and produced energy of residencies equipped with photovoltaic (PV) systems, (2) developing a tool to predict the electricity production, (3) and proposing a solution to detect the PV system malfunctions. With the later tool, the user (owner) or the energy management system can monitor its own PV system and make an efficient schedule use of electricity at the consumption side. In addition, currently, the owners of PV systems are notified about a failure in the system only when they receive the bill, whereas using the proposed method conveniently would notify owners prior to bill issue. The artificial neural network was employed as a tool together with the hardware-based monitoring system which allows a daily analysis of the performance of the system. The comparison of the predicted value of the produced electricity with the actual production for each day shows the validity of the method.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTorabi, R., Rodrigues, S., Cafôfo, N., Pereira, L., Quintal, F., Nunes, N., & Morgado-Dias, F. (2020). A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira. Neural Computing and Applications, 32(20), 15835-15844. https://doi.org/10.1007/s00521-018-3832-3pt_PT
dc.identifier.doi10.1007/s00521-018-3832-3pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4023
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRoof-top PV systempt_PT
dc.subjectPredictionpt_PT
dc.subjectArtificial neural networkpt_PT
dc.subjectMonitoring systempt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleA global monitoring system for electricity consumption and production of household roof-top PV systems in Madeirapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.citation.endPage15844pt_PT
oaire.citation.issue20pt_PT
oaire.citation.startPage15835pt_PT
oaire.citation.titleNeural Computing and Applicationspt_PT
oaire.citation.volume32pt_PT
oaire.fundingStream5876
person.familyNameTorabi
person.familyNameRodrigues
person.familyNameQuintal
person.familyNameNunes
person.familyNameMorgado-Dias
person.givenNameRoham
person.givenNameSandy
person.givenNameFilipe
person.givenNameNuno
person.givenNameFernando
person.identifier1446022
person.identifier1333903
person.identifier.ciencia-id751B-3B93-4F2A
person.identifier.ciencia-idEC10-568D-FB0A
person.identifier.ciencia-idD412-34DB-BB84
person.identifier.ciencia-id7B14-DF07-AA6D
person.identifier.orcid0000-0001-6231-2665
person.identifier.orcid0000-0003-1989-4852
person.identifier.orcid0000-0002-3525-142X
person.identifier.orcid0000-0001-6166-8045
person.identifier.orcid0000-0001-7334-3993
person.identifier.ridF-1417-2015
person.identifier.ridF-1399-2015
person.identifier.ridC-8682-2018
person.identifier.scopus-author-id56469397200
person.identifier.scopus-author-id55644224400
person.identifier.scopus-author-id6504228821
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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