Publication
Decision support for energy contracts negotiation with game theory and adaptive learning
| dc.contributor.author | Pinto, Tiago | |
| dc.contributor.author | Vale, Zita | |
| dc.contributor.author | Praça, Isabel | |
| dc.contributor.author | Pires, E. J. Solteiro | |
| dc.contributor.author | Lopes, Fernando | |
| dc.date.accessioned | 2016-05-04T11:19:30Z | |
| dc.date.available | 2016-05-04T11:19:30Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | This paper presents a decision support methodology for electricity market players’bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations. | pt_PT |
| dc.identifier.citation | Pinto, T.; Vale, Z.; Praça, I.; Pires, E.J. Solteiro; Lopes, F. - Decision support for energy contracts negotiation with game theory and adaptive learning. In: Energies, 2015, Vol. 8, p. 9817-9842 | pt_PT |
| dc.identifier.doi | 10.3390/en8099817 | pt_PT |
| dc.identifier.issn | 1996-1073 | |
| dc.identifier.uri | http://hdl.handle.net/10400.9/2959 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | MAN-REM - Multi-agent Negotiation and Risk Management in Electricity Markets | |
| dc.relation | APOIO À DECISÃO NA ACTUAÇÃO DE AGENTES PARTICIPANTES NOS MERCADOS DE ENERGIA | |
| dc.relation.publisherversion | http://dx.doi.org/10.3390/en8099817 | pt_PT |
| dc.subject | Electricity markets | pt_PT |
| dc.subject | Bilateral contracting | pt_PT |
| dc.subject | Multi-agent systems | pt_PT |
| dc.subject | Negotiation strategies | pt_PT |
| dc.title | Decision support for energy contracts negotiation with game theory and adaptive learning | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | MAN-REM - Multi-agent Negotiation and Risk Management in Electricity Markets | |
| oaire.awardTitle | APOIO À DECISÃO NA ACTUAÇÃO DE AGENTES PARTICIPANTES NOS MERCADOS DE ENERGIA | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FEEA-EEL%2F122988%2F2010/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F80632%2F2011/PT | |
| oaire.citation.endPage | 9842 | pt_PT |
| oaire.citation.startPage | 9817 | pt_PT |
| oaire.citation.title | Energies | pt_PT |
| oaire.citation.volume | 8 | pt_PT |
| oaire.fundingStream | 5876-PPCDTI | |
| oaire.fundingStream | 5876 | |
| person.familyName | Lopes | |
| person.givenName | Fernando | |
| person.identifier.orcid | 0000-0002-2967-627X | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| 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 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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