Published February 9, 2021 | Version 1.0
Dataset Open

MARTINE Semantic Interoperability: Local Electricity Market Hour-Ahead Session

  • 1. GECAD, Polytechnic of Porto
  • 2. Polytechnic of Porto

Description

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.

Notes

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.

Files

03.total-consumption-1558962000000.json

Files (49.4 kB)

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md5:cd1fe0c234b06f3ab23f19a72e529940
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md5:b053f23cb79deb4f9ae1bab6a84720c0
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md5:1ca6c688660e1375d1e8de04d3d7f42e
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md5:756cad908bd997004eeda12af633c9ef
654 Bytes Download
md5:2cea5ab3da2bd144ef8509075ce20bdc
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md5:2eb27bcd7817f287cf059e93d7b5ffd9
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202 Bytes Download
md5:14a8637bd84fe89b24c96d76d7f0e33a
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md5:6507e7824caccbc6ea67ad6d2e53e932
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md5:b03f4ab4804ed23529ffe7b31fad45ae
9.5 kB Download
md5:5678927b8644e163b530be92a10c0137
812 Bytes Download
md5:3852278d8f4aa0b2ded81dd9efb906c6
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Additional details

Funding

UID/EEA/00760/2013 – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development 147448
Fundação para a Ciência e Tecnologia