Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/2008
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Doğdu, Erdoğan | - |
dc.contributor.author | Özbayoğlu, Ahmet Murat | - |
dc.contributor.author | Benli, Okan | - |
dc.contributor.author | Akınc, Hülya Erdener | - |
dc.contributor.author | Erol, Erdeniz | - |
dc.contributor.author | Ataşoy, Tuğrul | - |
dc.contributor.author | Güreç, Ozan | - |
dc.contributor.author | Ercin, Özden | - |
dc.date.accessioned | 2019-07-10T14:42:45Z | |
dc.date.available | 2019-07-10T14:42:45Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Doğdu, E., Özbayoğlu, A. M., Benli, O., Akınç, H. E., Erol, E., Atasoy, T., ... & Erçin, Ö. (2014, June). Ontology-centric data modelling and decision support in smart grid applications a distribution service operator perspective. In 2014 IEEE International Conference on Intelligent Energy and Power Systems (IEPS) (pp. 198-204). IEEE. | en_US |
dc.identifier.isbn | 978-1-4799-2266-6 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/6874179 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/2008 | - |
dc.description | 2014 IEEE International Conference on Intelligent Energy and Power Systems (2014 : Kyiv; Ukraine) | |
dc.description.abstract | Conventional electricity distribution grids are getting smarter by coupling operation technologies with advanced information and communication technologies (ICT). This provides a better, reliable, cost effective and efficient service to the consumer while requiring an immense two way data transfer between consumer and distribution service operator (DSO). This paper gives a brief summary of the current situation of DSOs in Turkey after the privatization of the market and also the state of operational technologies (OT) in use. The integration of OT with ICT is the first step in building a smart grid, and the decision support systems (DSS) are becoming crucial in this integration and operational effectiveness. A major component in the smart grid integration efforts is a common information model as pointed out in earlier work. We restate the case of ontologies in information modeling towards building a smart grid and present the requirements for using ontologies in smart grid information systems and DSSs. | en_US |
dc.description.sponsorship | IEEE KPI Student Branch,IEEE Ukraine Section,IEEE Ukraine Young Professionals Affinity Group | |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2014 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT ENERGY AND POWER SYSTEMS (IEPS) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Decision support systems (DSS) | en_US |
dc.subject | Electricity distribution | en_US |
dc.subject | ICT | en_US |
dc.subject | OT | en_US |
dc.subject | Semantic Modeling | en_US |
dc.subject | Ontology | en_US |
dc.title | Ontology-Centric Data Modelling and Decision Support in Smart Grid Applications a Distribution Service Operator Perspective | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 198 | |
dc.identifier.endpage | 203 | |
dc.authorid | 0000-0001-7998-5735 | - |
dc.identifier.wos | WOS:000345748200038 | en_US |
dc.identifier.scopus | 2-s2.0-84906535651 | en_US |
dc.institutionauthor | Özbayoğlu, Ahmet Murat | - |
dc.identifier.doi | 10.1109/IEPS.2014.6874179 | - |
dc.authorwosid | H-2328-2011 | - |
dc.authorscopusid | 6505999525 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.1. Department of Artificial Intelligence Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
10
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
8
checked on Dec 14, 2024
Page view(s)
86
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.