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.

Participants

Irene Yu-Hua Gu (contact)

Professor vid Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Collaborations

Luleå University of Technology

Luleå, Sweden

Funding

Swedish Energy Agency

Funding Chalmers participation during 2017–2020

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Sustainable development

Driving Forces

Publications

More information

Latest update

2019-01-02