Publication
Demand response performance and uncertainty: A systematic literature review
| dc.contributor.author | Silva, Cátia | |
| dc.contributor.author | Faria, Pedro | |
| dc.contributor.author | Vale, Zita | |
| dc.contributor.author | Corchado, J.M. | |
| dc.date.accessioned | 2023-02-01T12:30:53Z | |
| dc.date.available | 2023-02-01T12:30:53Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The present review has been carried out, resorting to the PRISMA methodology, analyzing 218 published articles. A comprehensive analysis has been conducted regarding the consumer's role in the energy market. Moreover, the methods used to address demand response uncertainty and the strategies used to enhance performance and motivate participation have been reviewed. The authors find that participants will be willing to change their consumption pattern and behavior given that they have a complete awareness of the market environment, seeking the optimal decision. The authors also find that a contextual solution, giving the right signals according to the different behaviors and to the different types of participants in the DR event, can improve the performance of consumers' participation, providing a reliable response. DR is a mean of demand-side management, so both these concepts are addressed in the present paper. Finally, the pathways for future research are discussed. | pt_PT |
| dc.description.sponsorship | This article is a result of the project RETINA (NORTE-01-0145- FEDER-000062), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). We also acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team, and grants CEECIND/02887/2017 and SFRH/BD/144200/2019. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.esr.2022.100857 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/22062 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | NORTE-01-0145- FEDER-000062 | pt_PT |
| dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| dc.relation | Effective DR gathering and deployment for intensive renewable integration using aggregation and machine learning | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2211467X22000566 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Active consumer | pt_PT |
| dc.subject | Behavior | pt_PT |
| dc.subject | Demand response | pt_PT |
| dc.subject | Load flexibility | pt_PT |
| dc.subject | Performance | pt_PT |
| dc.subject | Uncertainty | pt_PT |
| dc.title | Demand response performance and uncertainty: A systematic literature review | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| oaire.awardTitle | Effective DR gathering and deployment for intensive renewable integration using aggregation and machine learning | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F144200%2F2019/PT | |
| oaire.citation.startPage | 100857 | pt_PT |
| oaire.citation.title | Energy Strategy Reviews | pt_PT |
| oaire.citation.volume | 41 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Silva | |
| person.familyName | Faria | |
| person.familyName | Vale | |
| person.givenName | Cátia | |
| person.givenName | Pedro | |
| person.givenName | Zita | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 5318-DCFD-218D | |
| person.identifier.ciencia-id | B212-2309-F9C3 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0001-8306-4568 | |
| 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/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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