Identifying at-risk low-voltage grid assets

A device, comprising:

• a processor;
• one or more memory devices in communication with the processor;
• and
• statements, defined in the one or more memory devices, which when executed by the processor to perform actions comprising:
• receiving advanced metering infrastructure (AMI) data from a plurality of smart metering devices;
• disaggregating the AMI data to identify electric vehicle (EV) charging data;
• identifying EV charging patterns within the EV charging data;
• determining a subset of the AMI data associated with a transformer;
• determining, based at least in part on the subset of the AMI data, a load on the transformer;
• comparing the load of the transformer to a rated load of the transformer to identify overloading events wherein the transformer is overloaded;
• and
• determining a correlation between the overloading events and the EV charging patterns.

One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by one or more processors, configure a computing device to perform actions comprising:

• receiving advanced metering infrastructure (AMI) data from a plurality of smart metering devices;
• disaggregating the AMI data to identify electric vehicle (EV) charging data;
• identifying EV charging patterns within the EV charging data;
• determining a subset of the AMI data associated with a transformer;
• determining, based at least in part on the subset of the AMI data, a load on the transformer;
• comparing the load of the transformer to a rated load of the transformer to identify overloading events wherein the transformer is overloaded;
• and
• determining a correlation between the overloading events and the EV charging patterns.