Systems and methods for optimal energy management based on time series forecasting of power load

A system for optimized energy management, the system comprising:

• a vehicle comprising an energy storage device, a vehicle controller, and an engine;
• an energy management controller operably coupled to the vehicle, the energy management controller comprising a processor and a memory, the memory having computer-executable instructions stored thereon that, when executed by the processor, cause the processor to:
• create a synthetic training dataset, wherein the synthetic training dataset comprises a plurality of activity profiles for a period of time;
• train a deep learning model using the synthetic training dataset;
• predict, using the trained deep learning model, a power load for the period of time;
• determine a projected state of charge (SOC) of an energy storage device during the period of time based, at least in part, on the predicted power load;
• and
• transmit the projected SOC to the vehicle controller, wherein the vehicle controller is configured to control charging operations for the energy storage device based on the projected SOC.