Upper Ontology for Multi-Agent Energy Systems’ Applications

Gabriel Santos, Tiago Pinto, Zita Vale, Hugo Morais, Isabel Praca

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review


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.
Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence : Advances in Intelligent Systems and Computing
EditorsSigeru Omatu, Jose Neves
Publication date2013
ISBN (Print)978-3-319-00550-8
Publication statusPublished - 2013
Externally publishedYes


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