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The Multi-Agent Based Real-Time Infrastructure for Energy (MARTINE) interoperates with existing multi-agent systems to run more complex and complete power and energy scenarios. Ontologies provide such semantic interoperability while easing the alignment of concepts of different semantic models, providing reasoning and inference capabilities, facilitating the process of converting heterogeneous data sources into the same semantic model, and enabling the development of flexible software tools agnostic to the ontologies used and business rules. This dataset publishes files demonstrating: (i) semantic communications exchanged between heterogeneous systems; as well as (ii) the necessary conversions between syntactic and semantic models.
This work was co-funded by Portugal 2020 Fundo Europeu de Desenvolvimento Regional (FEDER) through PO CI, and under grants: UIDB/00760/2020, MAS-Society Project, CEECIND/01811/2017 and CEECIND/02887/2017. Gabriel Santos is supported by national funds through a Fundação para a Ciência e a Tecnologia (FCT) PhD studentship with reference SFRH/BD/118487/2016.
Local Electricity Market, Semantic Interoperability, Real-Time Simulation, Multi-Agent Systems
Local Electricity Market, Semantic Interoperability, Real-Time Simulation, Multi-Agent Systems
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