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Modeling of Consumer Preferences and Constraints for the Optimal Schedule of Consumption Shifting

2019Conference object Open access
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dc.contributor.authorFaria, Pedro
dc.contributor.authorSpinola, Joao
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-22T15:08:10Z
dc.date.available2021-09-22T15:08:10Z
dc.date.issued2019
dc.description.abstractThe actual context for smart grid implementation implies the development of tools to support the diverse player's decisions. The present paper addresses a multi-period consumer's management methodology for the scheduling of demand flexibility initiatives and on-site generation. The objective is to minimize the energy costs for the consumer, taking into account his resources. The paper also considers the use of dynamic pricing with the intent of studying its effect on load shifting schedule. The results obtained show how the consumers can use this methodology to achieve new efficiency levels regarding their energy use, and therefore costs.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: COLORS Project PTDC/EEI-EEE/28967/2017 and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/PTC.2019.8810732pt_PT
dc.identifier.isbn978-1-5386-4722-6
dc.identifier.urihttp://hdl.handle.net/10400.22/18486
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8810732pt_PT
dc.subjectDemand responsept_PT
dc.subjectDistributed generationpt_PT
dc.subjectLoad shiftingpt_PT
dc.subjectResource schedulingpt_PT
dc.titleModeling of Consumer Preferences and Constraints for the Optimal Schedule of Consumption Shiftingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28967%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.conferencePlaceMilan, Italypt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2019 IEEE Milan PowerTechpt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFaria
person.familyNameVale
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
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.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
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