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Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario

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dc.contributor.authorFernandes, Filipe
dc.contributor.authorAlves, Douglas
dc.contributor.authorPinto, Tiago
dc.contributor.authorTakigawa, Fabrício
dc.contributor.authorFernandes, Rubipiara
dc.contributor.authorMorais, Hugo
dc.contributor.authorVale, Zita
dc.contributor.authorKagan, Nelson
dc.date.accessioned2017-07-07T14:03:07Z
dc.date.embargo2117
dc.date.issued2016
dc.description.abstractThis paper proposes a novel case-based reasoning (CBR) approach to support the intelligent management of energy resources in a residential context. The proposed approach analyzes previous cases of consumption reduction in houses, and determines the amount that should be reduced in each moment and in each context, in order to meet the users’ needs in terms of comfort while minimizing the energy bill. The actual energy resources management is executed using the SCADA House Intelligent Management (SHIM) system, which schedules the use of the different resources, taking into account the suggested reduction amount. A case study is presented, using data from Brazilian consumers. Several scenarios are considered, representing different combinations concerning the type of house/inhabitants, the season, the type of used energy tariff, the use of Photovoltaic system (PV) generation, and the maximum amount of allowed reduction. Results show that the proposed CBR approach is able to suggest appropriate amounts of energy reduction, which result in significant reductions of the energy bill, while, with the use of SHIM, minimizing the reduction of users’ comfort.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SSCI.2016.7849852pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/10001
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.ispartofseriesSSCI;2016
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7849852/pt_PT
dc.subjectBrazilian residential scenariopt_PT
dc.subjectCase based reasoningpt_PT
dc.subjectEnergy resources managementpt_PT
dc.subjectIntelligent house managementpt_PT
dc.titleIntelligent Energy Management using CBR: Brazilian Residential Consumption Scenariopt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titlePROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCEpt_PT
person.familyNameFernandes
person.familyNamePinto
person.familyNameMorais
person.familyNameVale
person.givenNameFilipe
person.givenNameTiago
person.givenNameHugo
person.givenNameZita
person.identifierR-000-T7J
person.identifier80878
person.identifier632184
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-id2010-D878-271B
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4642-6950
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0001-5906-4744
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id21834170800
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoveryb159f8c9-5ee1-444e-b890-81242ee0738e

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