Repository logo
 
Publication

Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation

2018Conference object Open access
Simple item page
dc.contributor.authorRodriguez-Fernandez, Jaime
dc.contributor.authorPinto, Tiago
dc.contributor.authorSilva, Francisco
dc.contributor.authorPraça, Isabel
dc.contributor.authorVale, Zita
dc.contributor.authorCorchado, Juan Manuel
dc.date.accessioned2021-09-23T14:27:15Z
dc.date.available2021-09-23T14:27:15Z
dc.date.issued2018
dc.description.abstractThe negotiation is one of the most important phase of the process of buying and selling energy in electricity markets. Buyers and sellers know about their own trading behavior or the quality of their products. However, they can also gather data directly or indirectly from them through the exchange information before or during negotiation, even negotiators should also gather information about past behavior of the other parties, such as their trustworthiness and reputation. Hence, in this scope, reputation models play a more important role in decision-making process in the undertaken bilateral negotiation. Since the decision takes into account, not only the potential economic gain for supported player, but also the reliability of the contracts. Therefore, the reputation component represents the level of confidence that the supported player can have on the opponent’s service, i.e. in this case, the level of assurance that the opponent will fulfil the conditions established in the contract. This paper proposes a reputation computational model, included in DECON, a decision support system for bilateral contract negotiation, in order to enhance the decision-making process regarding the choice of the most suitable negotiation parties.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO) and grant agreement No 703689 (project ADAPT); and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-94779-2_12pt_PT
dc.identifier.issn978-3-319-94779-2
dc.identifier.urihttp://hdl.handle.net/10400.22/18517
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
dc.relationAdaptive Decision support for Agents negotiation in electricity market and smart grid Power Transactions
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-94779-2_12pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectBilateral contractspt_PT
dc.subjectDecision support systempt_PT
dc.subjectElectricity Marketpt_PT
dc.subjectReputation modelspt_PT
dc.subjectNegotiation processpt_PT
dc.titleReputation Computational Model to Support Electricity Market Players Energy Contracts Negotiationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
oaire.awardTitleAdaptive Decision support for Agents negotiation in electricity market and smart grid Power Transactions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/641794/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/703689/EU
oaire.citation.endPage133pt_PT
oaire.citation.startPage125pt_PT
oaire.citation.titlePAAMS 2018: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collectionpt_PT
oaire.citation.volume887pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamH2020
oaire.fundingStreamH2020
person.familyNamePinto
person.familyNamePraça
person.familyNameVale
person.givenNameTiago
person.givenNameIsabel
person.givenNameZita
person.identifierR-000-T7J
person.identifier299522
person.identifier632184
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-idC710-4218-1BFF
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-2519-9859
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridT-2245-2018
person.identifier.ridK-8430-2014
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id22734900800
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8d58ddc0-1023-47c0-a005-129d412ce98d
relation.isAuthorOfPublicationee4ecacd-c6c6-41e8-bca1-21a60ff05f50
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryee4ecacd-c6c6-41e8-bca1-21a60ff05f50
relation.isProjectOfPublicationa00065d4-390d-45a6-b6b2-cb3dfe4c1da9
relation.isProjectOfPublication4a092e97-cc2f-4f57-8d3c-cf1709963516
relation.isProjectOfPublication0659ce55-4ace-4540-b5e4-06dea6a17510
relation.isProjectOfPublication.latestForDiscoverya00065d4-390d-45a6-b6b2-cb3dfe4c1da9

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
COM_GECAD_PAAMS_2018.pdf
Size:
647.3 KB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Comunicações em eventos científicos