Microsoft develops AI model to forecast space weather risks on power grids
Summary
Microsoft Research introduced a machine learning system capable of predicting power grid damage 30 to 60 minutes before a space storm hits.
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Microsoft Research has unveiled a new machine learning model designed to forecast the impacts of extreme space weather events on terrestrial infrastructure. Solar and geomagnetic storms can disrupt power grids, degrade GPS accuracy, and interfere with satellite operations.
The system predicts where infrastructure damage is most likely to occur 30 to 60 minutes before a geomagnetic storm arrives on Earth. This early warning window allows grid operators and critical infrastructure managers to take preventive measures and mitigate outages.
ALBA Super AI · What it means for Kazakhstan
Advanced ML forecasting tools of this kind can assist Kazakhstan's utility and telecommunications sectors in safeguarding critical infrastructure against severe geomagnetic disturbances.
Source: Microsoft Research
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