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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    <subfield code="a">Big Data,</subfield>
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    <subfield code="a">This work has received funding from the European Union's Horizon 2020 research and
innovation programme under the Marie Sklodowska-Curie grant agreement No 641794
(project DREAM-GO) and from FEDER Funds through COMPETE program and from
National Funds through FCT under the project UID/EEA/00760/2013.</subfield>
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    <subfield code="a">Tiago Pinto</subfield>
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    <subfield code="u">Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development</subfield>
    <subfield code="a">Gil Pinheiro</subfield>
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    <subfield code="u">Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development</subfield>
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    <subfield code="u">Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development</subfield>
    <subfield code="a">Carlos Ramos</subfield>
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    <subfield code="u">BISITE Research Centre</subfield>
    <subfield code="a">Juan Manuel Corchado</subfield>
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    <subfield code="u">Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development</subfield>
    <subfield code="a">Eugénia Vinagre</subfield>
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    <subfield code="a">Knowledge management system for big data in a smart electricity grid context</subfield>
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    <subfield code="a">Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development</subfield>
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    <subfield code="a">&lt;p&gt;We have been witnessing a real explosion of information, due in large part to&lt;br&gt;
the development in Information and Knowledge Technologies (ICTs). As information is&lt;br&gt;
the raw material for the discovery of knowledge, there has been a rapid growth, both in&lt;br&gt;
the scientific community and in ICT itself, in the study of the Big Data phenomenon&lt;br&gt;
(Kaisler et al., 2014). The concept of Smart Grids (SG) has emerged as a way of&lt;br&gt;
rethinking how to produce and consume energy imposed by economic, political and&lt;br&gt;
ecological issues (Lund, 2014). To become a reality, SGs must be supported by intelligent&lt;br&gt;
and autonomous IT systems to make the right decisions in real time. Knowledge needed&lt;br&gt;
for real-time decision-making can only be achieved if SGs are equipped with systems&lt;br&gt;
capable of efficiently managing all the surrounding information. Thus, this paper&lt;br&gt;
proposes a system for the management of information in the context of SG to enable the&lt;br&gt;
monitoring, in real time, of the events that occur in the ecosystem and to predict following&lt;br&gt;
events.&lt;/p&gt;</subfield>
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