Kimmo Salmenjoki, Yaroslav Tsaruk, Vagan Terziyan, Marko Viitala



This paper describes how semantic web and agent technologies could be used in enhancing the electricity distribution systems. The paper starts by a brief overview of functioning of electricity distribution systems. The introduced approaches aim at improving functionality of electricity distribution network systems and assisting the experts by supporting automating of routine tasks in daily operations. We focus on GUN (Global Understanding Environment) framework proposed by IOG (Industrial Ontologies Group) for intelligent services on industrial resources. The resources and infrastructure of the electricity power network are distributed. The interoperability, automation and integration features of GUN allow us to joint and arrange cooperation among heterogeneous resources in electricity network domain. The interaction and cooperation among resources in GUN platform are realized via resource agents. Based on discussions held with the domain experts we also decided to use agent approach for automated collection of additional information from heterogeneous resources and integrate this information to the operator interface (Dashboard). This context information supports expert in decision making processes.


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Paper Citation

in Harvard Style

Salmenjoki K., Tsaruk Y., Terziyan V. and Viitala M. (2007). AGENT-BASED APPROACH FOR ELECTRICITY DISTRIBUTION SYSTEMS . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 382-389. DOI: 10.5220/0002350003820389

in Bibtex Style

author={Kimmo Salmenjoki and Yaroslav Tsaruk and Vagan Terziyan and Marko Viitala},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
SN - 978-972-8865-89-4
AU - Salmenjoki K.
AU - Tsaruk Y.
AU - Terziyan V.
AU - Viitala M.
PY - 2007
SP - 382
EP - 389
DO - 10.5220/0002350003820389