Abstract: A system can detect an event at a first grid connected to a second grid via a meter monitored by a utility provider that distributes electricity via the second grid. A controller of a first grid can receive data including amounts of electricity consumption monitored by a corresponding plurality of sub-meters on the first grid and state information for energy storage systems on the first grid. The system can determine, responsive to the event, to modify a set point for one of the energy storage systems based on the state information and the amounts of electricity consumption monitored by the sub-meters on the first grid. The data processing system can provide, based on the determination, one or more commands to the controller to modify the set point for at least one of the plurality of energy storage systems on the first grid.

Abstract: A control system for controlling an energy storage system includes a controller including 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 a utility distribution system. The controller includes at least one memory and 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.