Intelligent power quality analytics
using machine learning

Automated disturbance classification
and root-cause analysis


Renewable energy

Renewable energy is a necessity for the future, but is highly unpredictable when it comes to producing high quality power. 

More connected devices

All small devices connected to the grid – smartphones, computers or kitchen appliances – create disturbances on our grids. And they are becoming more and more.

New type of loads

The movement toward electric transportation mean huge loads in short times and decreasing the quality of power. Imaging the whole neighborhood charging their vehicles at night.


Our developed machine learning algorithms

Classification of power quality

Analyzing and classifying disturbances with a 99% security provides core insight in finding their root cause

Prediction of power quality

Being able to predict power quality is a game changer  in the control of for example relay systems and compensators

Contact us


c/o Chalmers Ventures

Vera Sandbergs Allé 8

411 33 Göteborg

070 – 673 11 96

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