Published on 24 September 2021 |

Version 1.0

Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration

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Santos, Gabriel;Morais, Hugo;Pinto, Tiago;Corchado, Juan M.;Vale, Zita

Description

The Intelligent Energy Systems Ontology (IESO) provides semantic interoperability within a society of multi-agent systems (MAS) developed in the scope of power and energy systems (PES). It leverages the knowledge from existing and publicly available semantic models developed for specific PES subdomains to accomplish a shared vocabulary among the agents of the MAS community, overcoming heterogeneity among the reused ontologies. IESO provides agents with semantic reasoning, constraints validation, and data uniformization. The use of IESO is demonstrated through the simulation of the management of a rural distribution network, considering the validation of the grid’s technical constraints. This dataset publishes files demonstrating: i) a snapshot of the initial semantic knowledge base (KB); ii) queries to the KB to get services inputs; iii) conversions between syntactic and semantic models;
iv) constraints validations; v) automatic conversion of units of measure.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.9

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Electrical and Electronic Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

93%

Source

Open Alex

Keywords

Multi-Agent Systems SocietyOntologyPower and Energy SystemsSemantic Interoperability

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00