{
  "$type": "site.standard.document",
  "description": "An example method of optimized energy management includes creating a synthetic training dataset, where the synthetic training dataset includes a activity profiles for a period of time; training a deep learning model using the synthetic training dataset; predicting, using the trained deep learning…",
  "path": "/patents/1380642",
  "publishedAt": "2026-04-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60L58/12",
    "Ohio State Innovation Foundation"
  ],
  "textContent": "An example method of optimized energy management includes creating a synthetic training dataset, where the synthetic training dataset includes a activity profiles for a period of time; training a deep learning model using the synthetic training dataset; predicting, using the trained deep learning model, a power load for the period of time; determining 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 controlling charging operations for the energy storage device based on the projected SOC.",
  "title": "SYSTEMS AND METHODS FOR OPTIMAL ENERGY MANAGEMENT BASED ON TIME SERIES FORECASTING OF POWER LOAD"
}