Publicação
A multi-agent system to support decision making in electricity markets
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Praça, Isabel | |
| dc.contributor.author | Ramos, Carlos | |
| dc.contributor.author | Vale, Zita | |
| dc.contributor.author | Cordeiro, Manuel | |
| dc.contributor.editor | Ramos, Carlos | |
| dc.contributor.editor | Vale, Zita | |
| dc.date.accessioned | 2026-04-10T08:02:16Z | |
| dc.date.available | 2026-04-10T08:02:16Z | |
| dc.date.issued | 2004-07-23 | |
| dc.description.abstract | Throughout the world, the electricity industry is undergoing enormous changes in the structure of its markets and their regulations. The electricity industry is evolving into a distributed and competitive industry in which market forces drive the price of electricity. Changes are towards a competitive framework and a market environment is replacing the traditional centralized operation approach. As electricity markets evolve there is a need for new modelling approaches that simulate how electric power markets could evolve over time and how participants in these markets may act and react to the changing economic, financial and regulatory environment in which they operate. In this paper we present a Multi-Agent simulator to give decision support in Competitive Electricity Markets combining bilateral trading with power exchange mechanisms. This Multi-Agent environment includes several heterogeneous and autonomous intelligent agents, which are endowed with historical information about the market and have strategic behaviour to negotiate. This paper focuses on the different negotiation mechanisms supported by the simulator, and on agents’ strategic behaviour to face them. A special attention is devoted to the structure of market players, Seller and Buyer agents, particularly in what concerns their decision analysis process to face the challenging market. | eng |
| dc.identifier.citation | Praça, I., Ramos, C., Vale, Z. & Cordeiro, M. (2004, July 21-23). A multi-agent system to support decision making in electricity markets. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 123-130). Porto. Portugal | |
| dc.identifier.isbn | 972-8688-24-5 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/32202 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Knowledge Engineering and Decision Support Research Group - GECAD | |
| dc.rights.uri | N/A | |
| dc.subject | Simulation | |
| dc.subject | Decision-making | |
| dc.subject | Intelligent Agents | |
| dc.subject | Electricity Markets | |
| dc.title | A multi-agent system to support decision making in electricity markets | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2004-07-23 | |
| oaire.citation.conferencePlace | Porto, Portugal | |
| oaire.citation.endPage | 130 | |
| oaire.citation.startPage | 123 | |
| oaire.citation.title | International Conference of Knowledge Engineering and Decision Support, ICKEDS´04 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Praça | |
| person.familyName | Ramos | |
| person.familyName | Vale | |
| person.givenName | Isabel | |
| person.givenName | Carlos | |
| person.givenName | Zita | |
| person.identifier | 299522 | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | C710-4218-1BFF | |
| person.identifier.ciencia-id | 1011-FAFC-AEBA | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0002-2519-9859 | |
| person.identifier.orcid | 0000-0002-5143-1711 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | K-8430-2014 | |
| person.identifier.rid | K-7403-2014 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 22734900800 | |
| person.identifier.scopus-author-id | 7201559105 | |
| person.identifier.scopus-author-id | 7004115775 | |
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