Adaptive learning in multiagent systems for automated energy contacts negotiation

Detalhes bibliográficos
Autor(a) principal: Pinto, Tiago
Data de Publicação: 2020
Outros Autores: Vale, Zita
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/18421
Resumo: This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computation, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations.
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spelling Adaptive learning in multiagent systems for automated energy contacts negotiationAdaptive Decision Support for Electricity Markets NegotiationsAiD-EMAdaptative LearningEnergy ContractsMulti-Agent SystemsThis paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computation, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations.This work has been developed under the MAS-SOCIETY project - PTDC/EEI-EEE/28954/2017 and from FEDER Funds through COMPETE program and from National Funds through FCT under projects CEECIND/01811/2017 and UIDB/00760/2020IOS PressRepositório Científico do Instituto Politécnico do PortoPinto, TiagoVale, Zita2021-09-17T15:13:45Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttp://hdl.handle.net/10400.22/18421eng10.3233/FAIA200458info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:09:43Zoai:recipp.ipp.pt:10400.22/18421Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:37:53.194068Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Adaptive learning in multiagent systems for automated energy contacts negotiation
title Adaptive learning in multiagent systems for automated energy contacts negotiation
spellingShingle Adaptive learning in multiagent systems for automated energy contacts negotiation
Pinto, Tiago
Adaptive Decision Support for Electricity Markets Negotiations
AiD-EM
Adaptative Learning
Energy Contracts
Multi-Agent Systems
title_short Adaptive learning in multiagent systems for automated energy contacts negotiation
title_full Adaptive learning in multiagent systems for automated energy contacts negotiation
title_fullStr Adaptive learning in multiagent systems for automated energy contacts negotiation
title_full_unstemmed Adaptive learning in multiagent systems for automated energy contacts negotiation
title_sort Adaptive learning in multiagent systems for automated energy contacts negotiation
author Pinto, Tiago
author_facet Pinto, Tiago
Vale, Zita
author_role author
author2 Vale, Zita
author2_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Pinto, Tiago
Vale, Zita
dc.subject.por.fl_str_mv Adaptive Decision Support for Electricity Markets Negotiations
AiD-EM
Adaptative Learning
Energy Contracts
Multi-Agent Systems
topic Adaptive Decision Support for Electricity Markets Negotiations
AiD-EM
Adaptative Learning
Energy Contracts
Multi-Agent Systems
description This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computation, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-09-17T15:13:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/18421
url http://hdl.handle.net/10400.22/18421
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3233/FAIA200458
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dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
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