Lighter colored Grid Raven logo

Grid Raven's vision is to help increase grid capacity by 30% globally by 2030. Our digital twin of the grid provides a detailed forecast of the ability of each power line to safely carry energy. Grid Raven's management team comes from the transmission system operator world and combines engineering know-how with proven machine learning competence.

The amount of energy that the grid can transport is limited.

Fundamentally this limit comes from the risk of overheating of the power lines. Current flowing through the conductors heats up the wires and each wire has a maximum operating temperature. But the rate of cooling depends on outside conditions, such as air temperature and wind. So in cold and windy hours the same power lines can safely carry multiple times more energy. On an annual basis this additional benefit is an increase of roughly 30% of national grid capacity. Increasing the transmission grid by a third will accelerate clean energy by a decade.

Dynamic Line Ratings

Grid Raven predicts weather and especially wind with meter-scale accuracy. It is able to cover the full network without leaving any blind spots and it will operate under all weather conditions since it does not depend on physical hardware. Grid Raven is able to predict the future with precision.

Accurate forecasting
Covers every span
Powered by machine learning

Our vision is to increase grid capacity by 30% globally by 2030

The transition to clean energy requires strengthening the power grid. Grid Raven's technology helps bring the energy transition forward by a decade.


Our wind speed forecasts are 40% more accurate than the national forecast in Estonia. Our model covers every span of each line.


Our service level availability is 99.99%. Our solution does not depend on physical sensors out in the field.


Our licence covers your full network from the start. With Grid Raven you can implement AAR and DLR at your own pace.

Frequently asked

How do you know that the predictions are correct?
How can we trust the output of the machine learning model?
Is your system compliant with FERC Order 881?
What about ground clearance issues if sag is not monitored?
How does it integrate with our EMS or SCADA?

Let’s work together

Curious about what the technology can do? Contact us to request more information or schedule a demo.
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