Microsoft Research uses machine learning to forecast space-weather risks for 66,935 U.S. substations
Forecasting space weather risks on power grids
What happened
Microsoft Research developed an end-to-end machine-learning pipeline that uses L1 solar-wind observations and AE and Dst indices to generate localized space-weather risk estimates 30 to 60 minutes ahead for 66,935 substations in the contiguous United States.
Microsoft / CopilotDeployment engineeringData and trainingPapers and research#Research#Data and training#Deployment and engineering#Microsoft
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