System and method for real-time distributed micro-grid optimization using price signals

A system for real-time distributed micro-grid optimization using price signals, comprising:

• a computing device comprising a memory, a processor, and a non-volatile data storage device;
• a pricing engine comprising a first plurality of programming instructions stored in the memory of, and operating on the processor of, the computing device, wherein the first plurality of programming instructions, when operating on the processor, cause the computing device to:
• obtain a plurality of spatiotemporal information relating to an electrical grid, real-time traffic flow, and real-time energy demand;
• spatially align the plurality of spatiotemporal information into one or more regions;
• determine a load profile for each of the one or more specified regions, wherein the load profile is determined using real-time traffic flow and energy demand data;
• receive an overall risk score for each of the one or more regions;
• compute a state of charge and a maximum revenue for each of the one or more regions;
• use the plurality of spatiotemporal information, the spatially aligned information, the load profile, the computed state of charge, the overall risk score, and the computed maximum revenue as inputs into a neural network configured to generate as output a predicted price signal for each of the one or more regions;
• and
• distribute the price signal to each corresponding region of the one or more regions, wherein the price signal is used to configure the operation of an energy storage system within the corresponding region.