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Online estimation and use of price elasticity of demand for shifting loads through real-time pricing

2020Conference object Open access
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dc.contributor.authorFaria, Pedro
dc.contributor.authorCorsi, Pierfrancesco
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-17T14:01:09Z
dc.date.available2021-09-17T14:01:09Z
dc.date.issued2020
dc.description7th International Conference on Energy and Environment Research, ICEER 2020, 14–18 September, ISEP, Porto, Portugal
dc.description.abstractDemand Response programs have been assuming lot of importance in the simulations of electric users’ loads’ profiles. The evolution of these simulations helps defining new models able to predict power consumption trends for different user types. In order to better match consumption and production energy curves, highly precise forecasts of loads’ profiles are needed. This goal can be achieved also thanks to the study of the elasticity factor, that identifies the will of a user to have his consumptions reduced after a remuneration. In this paper, a way to obtain it has been presented, together with an interpolation able to predict it. Its definition is also supposed to help building scenarios that consider the impact of the long-term use of RTP remuneration (Real Time Price). Importance of having a real-time elasticity value able to adapt to specific situations is discussed, as for example user’s habits during the weekends or weekdays and weather forecasts.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from NationalFunds through (FCT), Portugal under the projects UIDB/00760/2020, COLORS (PTDC/EEI-EEE/28967/2017),CEECIND/02887/2017, and SFRH/BD/144200/2019, and from ANI, Portugal (project GREEDi)pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.egyr.2020.12.017pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18415
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352484720317182?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDemand response programspt_PT
dc.subjectElasticitypt_PT
dc.subjectReal time pricingpt_PT
dc.subjectRemunerationpt_PT
dc.titleOnline estimation and use of price elasticity of demand for shifting loads through real-time pricingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/157466/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/150174/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.endPage98pt_PT
oaire.citation.startPage93pt_PT
oaire.citation.titleEnergy Reportspt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream9471 - RIDTI
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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