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Load profile analysis tool for electrical appliances in households assisted by CPS

dc.contributor.authorRodrigues, F.
dc.contributor.authorCardeira, C.
dc.contributor.authorCalado, João Manuel Ferreira
dc.contributor.authorMelício, R.
dc.date.accessioned2017-03-14T12:21:56Z
dc.date.available2017-03-14T12:21:56Z
dc.date.issued2016
dc.description.abstractThis paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting. (C) 2016 The Authors. Published by Elsevier Ltd.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLoad profile analysis tool for electrical appliances in households assisted by CPS.In 1st Energy Economics Iberian Conference (EEIC). Lisbon, Portugal: Energy Procedia. Elsevier, 2016. ISSN 1876-6102. http://ac.els-cdn.com/S1876610216316757/1-s2.0-S1876610216316757-main.pdf?_tid=8409bafa-08ad-11e7-b392-00000aacb35f&acdnat=1489492879_b0da6ee599f46ca6155fbdfcddc3fe8f. Vol. 106/Pp. 215-224pt_PT
dc.identifier.doi10.1016/j.egypro.2016.12.117pt_PT
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/10400.21/6855
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://ac.els-cdn.com/S1876610216316757/1-s2.0-S1876610216316757-main.pdf?_tid=8409bafa-08ad-11e7-b392-00000aacb35f&acdnat=1489492879_b0da6ee599f46ca6155fbdfcddc3fe8fpt_PT
dc.subjectEnergy consumptionpt_PT
dc.subjectLoad managementpt_PT
dc.subjectSupply and demandpt_PT
dc.subjectSmart meterspt_PT
dc.subjectPredictive modelspt_PT
dc.titleLoad profile analysis tool for electrical appliances in households assisted by CPSpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage224pt_PT
oaire.citation.startPage215pt_PT
oaire.citation.titleEnergy Procediapt_PT
oaire.citation.volume106pt_PT
person.familyNameCalado
person.givenNameJoão
person.identifier370725
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.orcid0000-0001-6628-4657
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id7006897277
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication602b1546-f4f1-4cd5-8d29-d835d54c9bd6
relation.isAuthorOfPublication.latestForDiscovery602b1546-f4f1-4cd5-8d29-d835d54c9bd6

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