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Big data from smart grids

Azam Bagheri ; Math Bollen ; Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling)
IEEE PES Innovative smart grid technologies, Europe Conf. (ISGT Europe 2017) p. 5. (2017)
[Konferensbidrag, refereegranskat]

This paper gives a general introduction to "Big Data" in general and to Big Data in smart grids in particular. Large amounts of data (Big Data) contains a lots of information, however developing the analytics to extract such information is a big challenge due to some of the particular characteristics of Big Data. This paper investigates some existing analytic algorithms, especially deep learning algorithms, as tools for handling Big Data. The paper also explains the potential for deep learning application in smart grids.

Nyckelord: Smart grid, Big Data, deep learning, power quality, voltage dip

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Denna post skapades 2017-11-07.
CPL Pubid: 252962


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)


Elektroteknik och elektronik

Chalmers infrastruktur