{
  "$type": "site.standard.document",
  "description": "An example operation may include one or more of training at least one of an AI model using a neural network training capability with at least one of charging data of energy sources, vehicle location data, and energy availability data, to determine an amount of energy to be stored, determining…",
  "path": "/patents/1377623",
  "publishedAt": "2025-12-25T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06N3/08",
    "TOYOTA MOTOR NORTH AMERICA, INC."
  ],
  "textContent": "An example operation may include one or more of training at least one of an AI model using a neural network training capability with at least one of charging data of energy sources, vehicle location data, and energy availability data, to determine an amount of energy to be stored, determining energy-related data of an EV associated with a location and of an energy storage system at the location, determining an amount of energy to be store in at least one of the EV and the energy storage system at the location and a future point in time to store the energy based on execution of the at least one AI model on the energy-related data, and instructing at least one of the EV and the energy storage system to perform a charging operation based on the amount of energy and the future point in time.",
  "title": "PREDICTION-BASED ENERGY STORAGE DETERMINATION"
}