Conference paper Embargoed Access

Knowledge management system for big data in a smart electricity grid context

Eugénia Vinagre; Tiago Pinto; Gil Pinheiro; Zita Vale; Carlos Ramos; Juan Manuel Corchado


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  "metadata": {
    "access_right_category": "warning", 
    "embargo_date": "2020-06-09", 
    "doi": "10.5281/zenodo.1209898", 
    "description": "<p>We have been witnessing a real explosion of information, due in large part to<br>\nthe development in Information and Knowledge Technologies (ICTs). As information is<br>\nthe raw material for the discovery of knowledge, there has been a rapid growth, both in<br>\nthe scientific community and in ICT itself, in the study of the Big Data phenomenon<br>\n(Kaisler et al., 2014). The concept of Smart Grids (SG) has emerged as a way of<br>\nrethinking how to produce and consume energy imposed by economic, political and<br>\necological issues (Lund, 2014). To become a reality, SGs must be supported by intelligent<br>\nand autonomous IT systems to make the right decisions in real time. Knowledge needed<br>\nfor real-time decision-making can only be achieved if SGs are equipped with systems<br>\ncapable of efficiently managing all the surrounding information. Thus, this paper<br>\nproposes a system for the management of information in the context of SG to enable the<br>\nmonitoring, in real time, of the events that occur in the ecosystem and to predict following<br>\nevents.</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Knowledge management system for big data in a smart electricity grid context", 
    "notes": "This work has received funding from the European Union's Horizon 2020 research and\ninnovation programme under the Marie Sklodowska-Curie grant agreement No 641794\n(project DREAM-GO) and from FEDER Funds through COMPETE program and from\nNational Funds through FCT under the project UID/EEA/00760/2013.", 
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    "language": "eng", 
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        "title": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
        "acronym": "UID/EEA/00760/2013", 
        "program": "5876", 
        "funder": {
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    "keywords": [
      "Big Data,", 
      "Data Analytics,", 
      "Knowledge management,", 
      "Smart grids"
    ], 
    "publication_date": "2018-06-09", 
    "creators": [
      {
        "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
        "name": "Eug\u00e9nia Vinagre"
      }, 
      {
        "affiliation": "BISITE Research Centre", 
        "name": "Tiago Pinto"
      }, 
      {
        "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
        "name": "Gil Pinheiro"
      }, 
      {
        "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
        "name": "Zita Vale"
      }, 
      {
        "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
        "name": "Carlos Ramos"
      }, 
      {
        "affiliation": "BISITE Research Centre", 
        "name": "Juan Manuel Corchado"
      }
    ], 
    "meeting": {
      "acronym": "IFKAD 2017", 
      "dates": "7-9 June 2017", 
      "place": "St. Petersburg, Russia"
    }, 
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