SSG: An Ontology-Based Information Model for Smart Grids
dc.rights.license | open | en_US |
dc.contributor.author | SALAMEH, Khouloud | |
dc.contributor.author | CHBEIR, Richard | |
hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
dc.contributor.author | CAMBLONG, Haritza | |
dc.date.accessioned | 2023-04-24T13:27:42Z | |
dc.date.available | 2023-04-24T13:27:42Z | |
dc.date.issued | 2019-01-05 | |
dc.identifier.isbn | 10.1007/978-3-662-58664-8_4 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/173183 | |
dc.description.abstractEn | Nowadays, an electricity blackout can have a domino effect on the overall power system, causing extremely bad effects on the economical, ecological and operational countries perspectives. All this emphasizes the need for conceiving an upgraded vision of today’s and tomorrow’s power systems that have to be smart to meet the society expectations. Smart grids have been emerging as an appropriate solution for such needs. This work addresses two main related challenges encountered in the management of such power systems: (1) the semantic interoperability needed between their heterogeneous components in order to ensure seamless communication and integration, and (2) a means to consider their various objectives from economical, ecological, and operational perspectives, to mention some. In this paper, we propose a three-layered smart grid management framework, aiming at resolving these two issues. The backbone of the framework is SSG, a generic ontology-based model, detailed here. It aims at modeling the smart grid components, their features and properties, allowing the achievement of the smart grid objectives. Several evaluations have been conducted in order to validate our proposed framework and emphasize the SSG importance and utility in the energy domain. Obtained results are satisfactory and draw several promising perspectives. | |
dc.language.iso | EN | en_US |
dc.source.title | Transactions on Large-Scale Data- and Knowledge-Centered Systems XL. Lecture Notes in Computer Science | en_US |
dc.subject.en | Information modeling | |
dc.subject.en | Ontology | |
dc.subject.en | Power system | |
dc.subject.en | Smart grid | |
dc.title.en | SSG: An Ontology-Based Information Model for Smart Grids | |
dc.type | Chapitre d'ouvrage | en_US |
dc.identifier.doi | 10.1007/978-3-662-58664-8_4 | en_US |
dc.subject.hal | Informatique [cs]/Automatique | en_US |
bordeaux.page | 94-124 | en_US |
bordeaux.hal.laboratories | ESTIA - Recherche | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | Bordeaux INP | en_US |
bordeaux.institution | Bordeaux Sciences Agro | en_US |
bordeaux.inpress | non | en_US |
bordeaux.import.source | hal | |
hal.identifier | hal-02364191 | |
hal.version | 1 | |
hal.export | false | |
workflow.import.source | hal | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Transactions%20on%20Large-Scale%20Data-%20and%20Knowledge-Centered%20Systems%20XL.%20Lecture%20Notes%20in%20Computer%20Science&rft.date=2019-01-05&rft.spage=94-124&rft.epage=94-124&rft.au=SALAMEH,%20Khouloud&CHBEIR,%20Richard&CAMBLONG,%20Haritza&rft.isbn=10.1007/978-3-662-58664-8_4&rft.genre=unknown |
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