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Accurately and efficiently detecting and correcting AMI anomalies with deep learning

Blog: Oracle BPM

Given the sheer size of AMI data for a single customer, and knowing that there are millions of customers in a medium-size utility, it should be not hard to imagine compute resources that are needed for rule-based systems may be overwhelming. From our point of view it is imperative to handle anomaly detection not only accurately, but also efficiently.

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