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Improving asset health and grid resilience using machine learning

AWS Machine Learning Blog

Duke Energy has used artificial intelligence in the past to create efficiencies in day-to-day operations to great success. The following figure shows the model improvement for the AutoGluon using different data processing techniques over the period of this engagement. However, we observe improvements in terms of precision.