Grid Raven predicts weather and especially wind with meter-scale accuracy. We cover the full network without leaving any blind spots and can operate under all weather conditions.Our solution does not depend on physical hardware, but works well with any sensors that have already been installed. We predict the future with precision.
Unlock additional grid capacity with hourly line ratings based on ambient conditions. Grid Raven ensures safety by identifying hours in which there is no wind at all and reducing ratings in such times. Ratings are calculated based on IEEE and CIGRE methodologies and are provided as an hourly forecast up to 10 days ahead.
Make the most of your existing grid by increasing grid capacity when it's windy. Grid Raven models wind at the meter scale. This ensures accuracy even in complex terrain such as hills, forests and built areas. Our license covers your full network from day one, so you can upgrade line ratings at your own pace.
The technology behind our solutions
Grid Raven employs machine learning for downscaling numerical weather predictions to specific locations. Landscape and terrain information is gathered from satellite and LiDAR data and the model learns how weather is affected by trees, buildings and hills.
Grid Raven’s machine learning models train on more than 25,000 weather station data sets from around the world.
Grid Raven processes LiDAR measurements for modeling the overhead line as well as its surroundings and vegetation. Our solution undertakes advanced grid modeling and sag analysis to ensure safety at all line ratings.
Grid Raven's goal is to help increase grid transmission capacity by 30% annually on a global scale by 2030, which could bring the energy transition forward by a decade. The power grid is becoming a bottleneck in the energy transition, but the existing network is not yet used to its maximum potential. Grid Raven offers Dynamic Line Ratings, a Grid Enhancing Technology, based on our machine learning weather forecasting model. This enables grid operators to have a precise overview of the conditions of their network and helps manage the amount of power that the grid can really handle at a given time.
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