Devices, systems and methods for the collection of meter data in a common, globally accessible, group of servers, to provide simpler configuration, collection, viewing, and analysis of the meter data

Abstract

The present disclosure is directed to a machine learning system for use with a power distribution system. The machine learning system includes a data library, a machine learning module, and an action module. The data library stores a plurality of data samples, where at least a portion of the data samples are associated with one or more intelligent electronic devices (IEDs). The machine learning module processes data samples from the data library using at least one machine learning algorithm and outputs at least one recommendation and/or prediction based on the data samples received. The action module receives the at least one recommendation and/or prediction and performs at least one action based on the recommendation and/or prediction. The at least one action includes outputting at least one communication signal and/or at least one control signal to at least one client or at least one of the one or more IEDs.