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Advisor(s)
Abstract(s)
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.
Description
Keywords
Energy systems Multi-agent based simulation
Citation
Publisher
Springer