{
  "$type": "site.standard.document",
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreiaygkdjwh63jzivxc3we5qbfby4q2af4ffvocrmcj6rzevrx2usjy"
    },
    "mimeType": "image/png",
    "size": 112726
  },
  "description": "Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that…",
  "path": "/patents/1350877",
  "publishedAt": "2023-09-14T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G05B13/048",
    "Google LLC"
  ],
  "textContent": "Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.",
  "title": "COMPUTE LOAD SHAPING USING VIRTUAL CAPACITY AND PREFERENTIAL LOCATION REAL TIME SCHEDULING"
}