AI brief
A new machine learning system can predict where space-weather damage is likely to occur on power grids 30-60 minutes before a storm arrives.
Why it matters: The predictions could give grid operators advance warning of damage from extreme space-weather events, which can also degrade GPS accuracy and satellite operations.
Written by AI from Microsoft Research AI's published text. Read the original for full details.
From the publisher
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 grids appeared first on Microsoft Research .
Research SourcesRetrievalMicrosoft Research AI
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