Devices, systems, and methods for optimization of electricity forecasts using ricker wavelets

An electronic device for forecasting future energy consumption and future energy production at a site in communication with the electronic device, the electronic device comprising:

• one or more non-transitory computer-readable storage media including instructions;
• and
• one or more processors coupled to the storage media, the one or more processors configured to execute the instructions to:
• train a dataset by generating one or more features to historical energy consumption data, historical energy production data, and weather data for a site, wherein the one or more features comprises one or more continuous wavelets;
• forecast, using a machine-learning model, the future energy consumption and the future energy production at the site based on the trained dataset;
• determine, using an optimization algorithm, a dispatch schedule for an electric vehicle battery coupled to the electronic device based on the future energy consumption and the future energy production at the site;
• and
• control a charge or a discharge of the electric vehicle battery based on the dispatch schedule.