Self-learning algorithms deployed at edge devices

An edge computing device comprising:

• one or more processors;
• and
• memory communicatively coupled to the one or more processors, the memory storing thereon computer executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• storing an artificial intelligence model on the edge computing device;
• obtaining measurement data from one or more electricity metering devices associated with a plurality of premises connected to an electrical grid;
• providing the measurement data to the artificial intelligence model;
• generating a measurement forecast associated with electrical demand or supply via the artificial intelligence model;
• and
• transmitting control signals to one or more distributed energy resources based at least in part on the measurement forecast.

A power distribution system comprising:

• a transformer connected to a feeder and configured to serve a plurality of premises;
• a plurality of electricity metering devices associated with the plurality of premises;
• an edge computing device in communication with the plurality of electricity metering devices, the edge computing device including an artificial intelligence model configured to process measurement data from the plurality of electricity metering devices and generate forecasts of electrical demand;
• and
• at least one distributed energy resource associated with one of the plurality of premises, wherein the edge computing device is configured to coordinate operation of the at least one distributed energy resource based on the forecasts of electrical demand.