Towards application of text mining for enhanced power network data analytics - Part I: Retrieval and ranking of textual data from the internet

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    Abstract

    This paper presents initial results of methodologies developed for extracting useful information from online textual data in the field of power networks. Since there are no tools developed specifically for power engineering, an attempt was made to take advantage of the existing tools for specialized web browsing and data extraction. Two methodologies are explored: one for extracting on-line documents (journal papers, technical reports, etc.) that are highly related to a specific topic, and the second one for extracting highly related sentences, providing a literature summary on the topic. The first results are promising, showing great potential for text-mining applications as a part of power networks data analytics.

    Original languageEnglish
    Title of host publicationIET Conference Publications
    PublisherInstitution of Engineering and Technology
    Number of pages8
    Volume2016
    EditionCP711
    Publication statusPublished - 2016
    EventMediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MedPower 2016 - Belgrade, Serbia
    Duration: 6 Nov 20169 Nov 2016

    Conference

    ConferenceMediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MedPower 2016
    Country/TerritorySerbia
    CityBelgrade
    Period6/11/169/11/16

    Keywords

    • Data analytics
    • Database
    • Text mining
    • Web crawling

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