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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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{
  "@context": "https://schema.org/", 
  "@id": "https://doi.org/10.5281/zenodo.1209898", 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
      "name": "Eug\u00e9nia Vinagre"
    }, 
    {
      "@type": "Person", 
      "affiliation": "BISITE Research Centre", 
      "name": "Tiago Pinto"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
      "name": "Gil Pinheiro"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
      "name": "Zita Vale"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development", 
      "name": "Carlos Ramos"
    }, 
    {
      "@type": "Person", 
      "affiliation": "BISITE Research Centre", 
      "name": "Juan Manuel Corchado"
    }
  ], 
  "datePublished": "2018-06-09", 
  "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>", 
  "headline": "Knowledge management system for big data in a smart electricity grid context", 
  "identifier": "https://doi.org/10.5281/zenodo.1209898", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }, 
  "keywords": [
    "Big Data,", 
    "Data Analytics,", 
    "Knowledge management,", 
    "Smart grids"
  ], 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "name": "Knowledge management system for big data in a smart electricity grid context", 
  "url": "https://zenodo.org/record/1209898"
}
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