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    An ontology-based system for discovering landslide-induced emergencies in electrical grid

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    Publication date
    2020
    Author
    Phengsuwan, J.
    Shah, T.
    Sun, R.
    James, P.
    Thakker, Dhaval
    Ranjan, R.
    Keyword
    Data sources
    Discovery
    Early warning system
    Electrical grid system
    Energy management
    High variety data
    IoT data
    Landslide
    Hazard
    Ontology
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Early 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.
    URI
    http://hdl.handle.net/10454/17769
    Version
    No full-text in the repository
    Citation
    Phengsuwan 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.
    Link to publisher’s version
    https://doi.org/10.1002/ett.3899
    Type
    Article
    Collections
    Engineering and Informatics Publications

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