Forecasting space weather risks on power grids
New machine learning models provide a 60-minute early warning for solar storms targeting electrical grids.
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grid...
Microsoft Research
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Leveraging machine learning to predict geomagnetic disturbances provides critical lead time to safeguard electrical grids from catastrophic failures. This development transforms raw solar data into actionable intelligence, significantly enhancing the resilience of global infrastructure against space weather.
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