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A new approach to provide sustainable solutions for residential sector

dc.contributor.authorSantos, Ricardo
dc.contributor.authorMatias, Joao
dc.contributor.authorAbreu, António
dc.date.accessioned2019-05-14T13:39:46Z
dc.date.available2019-05-14T13:39:46Z
dc.date.issued2019
dc.description.abstractAn energy-efficient appliance normally presents a lower energy con-sumption compared to a less efficient one, with a higher initial investment, alt-hough this not always happens. Additionally, each appliance, presents very dif-ferent features, leading to some difficulties on its choice by the consumer (deci-sion-agent). On the other hand, each consumer, has specific and distinguished needs from other consumers, namely of social, economic or environmental nature. Even by adopting these criteria, this is not an isolated guarantee of an optimal solution for the consumer. It is then necessary to complement this approach with multicriteria, combined with optimization techniques. Evolutionary Algorithms (EA), could be used as an optimization technique, to provide sustainable solutions to the consumer, from the market. In this paper, it’s presented an approach that integrates both concepts, where at the end, it shall be presented a case study, to demonstrate the application of the proposed method.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, Ricardo; MATIAS, João C. O.; ABREU, António – A new approach to provide sustainable solutions for residential sector. In Technological Innovation for Industry and Service Systems – Proceedings of the 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019. Costa de Caparica, Portugal: Springer, 2019. ISBN 978-3-030-17771-3. Vol. 553, pp. 329-342pt_PT
dc.identifier.isbn978-3-030-17771-3.
dc.identifier.urihttp://hdl.handle.net/10400.21/10007
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectElectrical appliancespt_PT
dc.subjectLife Cycle Cost Analysispt_PT
dc.subjectMulti-Attribute Value Theory (MAVT)pt_PT
dc.subjectMulti-objective optimizationpt_PT
dc.subjectEvolutionary algorithmspt_PT
dc.titleA new approach to provide sustainable solutions for residential sectorpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMay 8–10, 2019 - Costa da Caparica, Portugalpt_PT
oaire.citation.endPage342pt_PT
oaire.citation.startPage329pt_PT
oaire.citation.title10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019pt_PT
oaire.citation.volume553
person.familyNameSantos
person.familyNameMatias
person.familyNameAbreu
person.givenNameRicardo
person.givenNameJoao
person.givenNameAntónio
person.identifier1829666
person.identifier.ciencia-idC213-A238-5F53
person.identifier.ciencia-idD610-9D89-C48F
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.orcid0000-0001-5703-8139
person.identifier.orcid0000-0003-4329-6246
person.identifier.orcid0000-0001-8839-5606
person.identifier.ridM-9354-2018
person.identifier.ridT-9007-2017
person.identifier.ridD-3964-2014
person.identifier.scopus-author-id56015094400
person.identifier.scopus-author-id57218315486
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication9d0d968b-bf76-431a-99fe-aeae428faa28
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery9d0d968b-bf76-431a-99fe-aeae428faa28

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