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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

We have been witnessing a real explosion of information, due in large part to
the development in Information and Knowledge Technologies (ICTs). As information is
the raw material for the discovery of knowledge, there has been a rapid growth, both in
the scientific community and in ICT itself, in the study of the Big Data phenomenon
(Kaisler et al., 2014). The concept of Smart Grids (SG) has emerged as a way of
rethinking how to produce and consume energy imposed by economic, political and
ecological issues (Lund, 2014). To become a reality, SGs must be supported by intelligent
and autonomous IT systems to make the right decisions in real time. Knowledge needed
for real-time decision-making can only be achieved if SGs are equipped with systems
capable of efficiently managing all the surrounding information. Thus, this paper
proposes a system for the management of information in the context of SG to enable the
monitoring, in real time, of the events that occur in the ecosystem and to predict following
events.

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.
Embargoed Access

Files are currently under embargo but will be publicly accessible after June 9, 2020.

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