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dc.contributor.authorPhengsuwan, J.
dc.contributor.authorShah, T.
dc.contributor.authorSun, R.
dc.contributor.authorJames, P.
dc.contributor.authorThakker, Dhaval
dc.contributor.authorRanjan, R.
dc.date.accessioned2020-04-07T10:28:04Z
dc.date.accessioned2020-05-06T07:16:53Z
dc.date.available2020-04-07T10:28:04Z
dc.date.available2020-05-06T07:16:53Z
dc.date.issued2020
dc.identifier.citationPhengsuwan J, Shah T, Sun R et al (2021) An ontology-based system for discovering landslide-induced emergencies in electrical grid. Transactions on Emerging Telecommunications Technologies. e3899. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17769
dc.descriptionNoen_US
dc.description.abstractEarly warning systems (EWS) for electrical grid infrastructure have played a significant role in the efficient management of electricity supply in natural hazard prone areas. Modern EWS rely on scientific methods to analyze a variety of Earth Observation and ancillary data provided by multiple and heterogeneous data sources for the monitoring of electrical grid infrastructure. Furthermore, through cooperation, EWS for natural hazards contribute to monitoring by reporting hazard events that are associated with a particular electrical grid network. Additionally, sophisticated domain knowledge of natural hazards and electrical grid is also required to enable dynamic and timely decision‐making about the management of electrical grid infrastructure in serious hazards. In this paper, we propose a data integration and analytics system that enables an interaction between natural hazard EWS and electrical grid EWS to contribute to electrical grid network monitoring and support decision‐making for electrical grid infrastructure management. We prototype the system using landslides as an example natural hazard for the grid infrastructure monitoring. Essentially, the system consists of background knowledge about landslides as well as information about data sources to facilitate the process of data integration and analysis. Using the knowledge modeled, the prototype system can report the occurrence of landslides and suggest potential data sources for the electrical grid network monitoring.en_US
dc.description.sponsorshipFloodPrep, Grant/Award Number: (NE/P017134/1); LandSlip, Grant/Award Number: (NE/P000681/1)en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1002/ett.3899en_US
dc.subjectData sourcesen_US
dc.subjectDiscoveryen_US
dc.subjectEarly warning systemen_US
dc.subjectElectrical grid systemen_US
dc.subjectEnergy managementen_US
dc.subjectHigh variety dataen_US
dc.subjectIoT dataen_US
dc.subjectLandslideen_US
dc.subjectHazarden_US
dc.subjectOntologyen_US
dc.titleAn ontology-based system for discovering landslide-induced emergencies in electrical griden_US
dc.status.refereedYesen_US
dc.date.Accepted2019-12-18
dc.contributor.sponsorFloodPrep, Grant/Award Number: (NE/P017134/1); LandSlip, Grant/Award Number: (NE/P000681/1)
dc.date.application2020-03-04
dc.typeArticleen_US
dc.type.versionNo full-text in the repositoryen_US
dc.date.updated2020-04-07T09:28:10Z


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