The large-scale data enable analytics on failure events of different severity induced by weather disruptions. The data analytics systematically studies recovery services under different severity of failure impact. A recovery scaling law is developed through unsupervised learning, showing capabilities and limitations of recovery as well as promise for enhancement and generalization to multiple states.
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