Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5902
Título: Upper Ontology for Multi-Agent Energy Systems’ Applications
Autor: Santos, Gabriel
Pinto, Tiago
Vale, Zita
Morais, Hugo
Praça, Isabel
Palavras-chave: Energy systems
Multi-agent based simulation
Data: 2013
Editora: Springer
Relatório da Série N.º: Advances in Intelligent Systems and Computing;Vol. 217
Resumo: Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors research group has developed three multi-agent systems: MASCEM, which simulates the electricity markets; ALBidS that works as a decision support system for market players; and MASGriP, which simulates the internal operations of smart grids. To take better advantage of these systems, their integration is mandatory. For this reason, is proposed the development of an upper-ontology which allows an easier cooperation and adequate communication between them. Additionally, the concepts and rules defined by this ontology can be expanded and complemented by the needs of other simulation and real systems in the same areas as the mentioned systems. Each system’s particular ontology must be extended from this top-level ontology.
Peer review: yes
URI: http://hdl.handle.net/10400.22/5902
DOI: 10.1007/978-3-319-00551-5_73
ISBN: 978-3-319-00550-8
ISSN: 2194-5357
Versão do Editor: http://link.springer.com/chapter/10.1007/978-3-319-00551-5_73
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