What is Pattern Recognition?

Pattern Recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data. Algorithms such as support vector machines, often trained by labeled training data, form its core. Today, the technology is used in many applications such as finger print recognition and in online search engines.

The EPR project will apply pattern recognition technology to power quality and other related electrical grid data such as smart energy meter readings to develop tools for grid operators and energy companies to optimise the power system and enable a higher share of renewable energy generation.

Presentations (pdf)

In English

In Swedish

Broschure: "Pattern recognition technology enables higher levels of renewables in the grid"

Managing partner was

Metrum, Sweden
www.metrum.se

Project Partners were

Eltek, Norway
www.eltek.com

Rejlers Embriq, Norway
www.embriq.no

Enerjisa, Turkey
www.enerjisa.com.tr

Glava Energy Center, Sweden
www.glavaenergycenter.se

MälarEnergi, Sweden
www.malarenergi.se

STRI, Sweden
www.stri.se

Funding partners were

Smart Grids Plus ERA-Net
www.eranet-smartgridsplus.eu

Swedish Energy Agency
www.energimyndigheten.se

The Research Council of Norway

www.forskningsradet.no

Tübitak
www.tubitak.gov.tr

Horizon 2020
www.Ec.europa.eu/programmes/horizon2020

Other contributing organisations were

- Prediktor
- Municipality of Arvika
- Pöyry
- University of Borås
- University of Dalarna
- Karlstad University

 

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