Ambient Adjusted Ratings
Powered by Machine Learning
FERC has ordered all transmission service providers to implement ambient-adjusted ratings by July 2025 in order to increase the efficiency of grid utilisation and reduce energy prices for consumers. By implementing Grid Raven’s AAR solution you comply with the order.
Grid Raven’s ambient-adjusted rating solution comes together with dynamic line ratings from the start. The licence covers both technologies and your entire network in one go. With Grid Raven you can implement the most advanced line ratings at your own pace.
Grid Raven's model identifies moments when the air is at a standstill and when line ratings need to be reduced. Other Ambient Adjusted Rating solutions would risk overheating of power lines in such conditions. Our wind prediction takes into account the sheltering effect from every hill, tree and building along each power line.
Our machine learning model predicts weather with span-level accuracy by accounting for detailed terrain along the power line.
Line capacities are increased when it's cool or windy and reduced when it's hot and still. IEEE and CIGRE methodologies are followed for calculating line ratings for each span of your line.
Grid Raven offers the additional option of reviewing the safety limits on your network.
We process available LiDAR data and identify all clearance violations.
We undertake advanced sag modelling to determine the safe maximum operating temperature for each span of your network.
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.
