Publication
Study of Price Elasticity's Predictability for Special Low Voltage Consumers
| dc.contributor.author | Corsi, Pierfrancesco | |
| dc.contributor.author | Faria, Pedro | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2021-02-22T17:39:51Z | |
| dc.date.available | 2021-02-22T17:39:51Z | |
| dc.date.issued | 2019-01 | |
| dc.description.abstract | Demand Response programs have been assuming lot of importance in the simulations for electric systems in the last years. Their evolution brought to the need of new models able to consider the power consumption profile for every category of user; moreover, in order to better match energy consumptions and productions, highly precise forecasts of loads’ profiles will be needed. This goal can be achieved also thanks to the definition of the elasticity factor. This paper proposes a way to obtain the elasticity price value for the BTE type of user together with an interpolation able to predict it. It will be discussed about the importance of having a real-time elasticity value able to vary according to specific factors, as for example user’s habits during the weekends or weekdays and weather forecasts. | pt_PT |
| dc.description.sponsorship | The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); CONTEST Project (P2020 - 23575), and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/17080 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Instituto Politécnico do Porto. Instituto Superior de Engenharia | pt_PT |
| dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| dc.relation | Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Demand response | pt_PT |
| dc.subject | Price elasticity | pt_PT |
| dc.subject | Elasticity forecasting | pt_PT |
| dc.subject | Smart grid | pt_PT |
| dc.title | Study of Price Elasticity's Predictability for Special Low Voltage Consumers | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| oaire.awardTitle | Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/641794/EU | |
| oaire.citation.conferencePlace | Porto, Portugal | pt_PT |
| oaire.citation.title | Fourth DREAM-GO Workshop: Demand response approaches for real-time renewable energy integration | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | H2020 | |
| person.familyName | Faria | |
| person.familyName | Vale | |
| person.givenName | Pedro | |
| person.givenName | Zita | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | B212-2309-F9C3 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0002-5982-8342 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 7004115775 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6 | |
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