Microsoft Research· Rohan Kannan·· 22 h ago
Forecasting space weather risks on power grids
Forecasting space weather risks on power grids
AI summary
Microsoft Research has developed an end-to-end machine learning pipeline that uses solar wind observations at L1, forecasts of the AE and Dst indices, and local geological conductivity data to estimate local space weather risks 30 to 60 minutes ahead for 66,935 substations in the contiguous United States.
Selection record
Threshold 60Official, first-handFirst 42Second 34
Not admittedSum of both 76 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：Microsoft uses machine learning to predict space weather risks to the grid
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Microsoft Research · microsoft.com