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Energy monitoring in the wild: platform development and lessons learned from a real-world demonstrator

2021Journal article Open access
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dc.contributor.authorQuintal, Filipe
dc.contributor.authorGarigali, Daniel
dc.contributor.authorVasconcelos, Dino
dc.contributor.authorCavaleiro, Jonathan
dc.contributor.authorSantos, Wilson
dc.contributor.authorPereira, Lucas
dc.date.accessioned2022-02-01T11:23:58Z
dc.date.available2022-02-01T11:23:58Z
dc.date.issued2021
dc.description.abstractThis paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQuintal, F., Garigali, D., Vasconcelos, D., Cavaleiro, J., Santos, W., & Pereira, L. (2021). Energy monitoring in the wild: platform development and lessons learned from a real-world demonstrator. Energies, 14(18), 5786. https://doi.org/10.3390/en14185786pt_PT
dc.identifier.doi10.3390/en14185786pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4027
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationNot Available
dc.relationLaboratory of Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectricity monitoringpt_PT
dc.subjectCase studypt_PT
dc.subjectLong-termpt_PT
dc.subjectPrototypingpt_PT
dc.subjectRetrofittingpt_PT
dc.subjectPlatformpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleEnergy monitoring in the wild: platform development and lessons learned from a real-world demonstratorpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F01179%2F2017%2FCP1461%2FCT0020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT
oaire.citation.issue18pt_PT
oaire.citation.startPage5786pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume14pt_PT
oaire.fundingStreamCEEC IND 2017
oaire.fundingStream6817 - DCRRNI ID
person.familyNameQuintal
person.familyNameGarigali
person.givenNameFilipe
person.givenNameDaniel
person.identifier1333903
person.identifier.ciencia-idEC10-568D-FB0A
person.identifier.orcid0000-0002-3525-142X
person.identifier.orcid0000-0002-4379-3747
person.identifier.ridC-8682-2018
person.identifier.ridD-3248-2018
person.identifier.scopus-author-id6504228821
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isProjectOfPublicationd79c04da-922b-45bd-a525-5435b421b72e
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