Big data from smart grids
Paper i proceeding, 2017

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.

Big Data

voltage dip

deep learning

Smart grid

power quality


Azam Bagheri

Luleå tekniska universitet

Mathias Bollen

Luleå tekniska universitet

Irene Yu-Hua Gu

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

IEEE PES Innovative smart grid technologies, Europe Conf. (ISGT Europe 2017)

Vol. 2018-January 1-5
978-153861953-7 (ISBN)

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
Torino, Italy,




Elektroteknik och elektronik




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