Deep learning for big power system data
Research Project , 2017 – 2020

New advanced signal processing methods, that ho under the name "deep learning", will be applied to large amounts of measurement data ("big data") of voltage and current in electrical power systems. The project will develop methods for the analysis of electric power data with the help of deep-learning techniques, where the focus will be on two specific applications: long time series with high time resolution of voltage and current in the vicinity of solar and wind power installations; large numbers of power quality events. In both applications, the analysis will be aimed towards the cause of the disturbance. The project is a collaboration between signal processing and power engineering researchers and is a continuation of a previous, very successful cooperation.


Irene Yu-Hua Gu (contact)

Full Professor at Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing


Luleå University of Technology

Luleå, Sweden


Swedish Energy Agency

Project ID: 42979-1
Funding Chalmers participation during 2017–2020

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Information and Communication Technology

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