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Elasticity Parameter Definition and Analysis for Real-Time Pricing Remuneration Basing on Different Users Cases

dc.contributor.authorCorsi, Pierfrancesco
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-20T14:22:03Z
dc.date.available2021-09-20T14:22:03Z
dc.date.issued2019-09
dc.description.abstractIn the last decade Demand Response (DR) programs have been influencing loads' profiles of electric users who participate in these programs. The evolution of the simulations able to study them brought to the possibility of defining new models that can consider power consumption profiles for different types of user (MAT, AT, MT, BTE, BTN-2, BTN-1) but, in order to better match consumption and production energy curves, highly precise predictions of loads' profiles are still needed. This goal can be achieved also thanks to the study of the price elasticity factor. A way to obtain it will be examined in this paper: price and power absorption variations will be considered because elasticity is defined as the ratio of their relative variations before and after DR. This work focuses on the profiles of price variations ΔP with respect to the absorbed power variation ΔQ: users indeed are expected to vary their consumptions according to different values of remunerations. Ranges of elasticities have been evaluated to study the behavior of ΔP profiles for the more representing users. Finally, economic consequences of load regressions have been analyzed.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of 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/SEST.2019.8849109pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18439
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8849109pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectElasticitypt_PT
dc.titleElasticity Parameter Definition and Analysis for Real-Time Pricing Remuneration Basing on Different Users Casespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/150174/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/154850/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2019 International Conference on Smart Energy Systems and Technologies (SEST)pt_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.isProjectOfPublication15ac0aae-20cc-4818-8330-9174b464283e
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relation.isProjectOfPublication.latestForDiscovery83787606-7ad3-4b55-8e3d-b2b2d1577390

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