System and method for dynamic energy storage system control

A method for controlling an energy storage system, the method comprising:

• receiving meter data from at least one metering device positioned between a utility distribution system and an electrical infrastructure, the at least one metering device for tracking energy drawn from the utility distribution system;
• using real-time or near real-time historical and current electricity consumption and generator data with a plurality of layered nodes configured to form an artificial neural network, generating a forecasted transmission level load and confidence value for an entire jurisdiction of the utility distribution system;
• identifying a potential coincident peak for the utility distribution system based on the forecasted transmission level load and confidence value generated by the artificial neural network;
• and
• upon identifying a potential coincident peak, transmitting signals to cause the electrical infrastructure to consume energy stored at the energy storage system thereby reducing the energy drawn from the utility distribution system during the identified potential coincident peak.

A device for controlling an energy storage system, the device comprising:

• at least one memory and at least one processor providing a plurality of layered nodes configured to form an artificial neural network trained to generate a forecasted transmission level load and confidence value for an entire jurisdiction of the utility distribution system;
• the at least one processor configured for:
• identifying a potential coincident peak for the utility distribution system based on the forecasted transmission level load and confidence value generated by the artificial neural network;
• and
• upon identifying a potential coincident peak, transmitting signals to cause the electrical infrastructure to consume energy stored at the energy storage system thereby reducing the energy drawn from the utility distribution system during the identified potential coincident peak.