{
  "$type": "site.standard.document",
  "description": "Embodiments of the present disclosure relate to load optimization. At least one asset of a set of assets associated with a building may be identified. Dynamic asset classification for the at least one asset may be generated for an optimization period by applying input data associated with the at…",
  "path": "/patents/1381191",
  "publishedAt": "2026-04-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H02J3/004",
    "Honeywell International Inc."
  ],
  "textContent": "Embodiments of the present disclosure relate to load optimization. At least one asset of a set of assets associated with a building may be identified. Dynamic asset classification for the at least one asset may be generated for an optimization period by applying input data associated with the at least one asset to an asset classification machine learning model. Deviation data may be generated for the at least one asset in response to a non-critical classification for the at least one asset by applying a dataset comprising current operating load data for the at least one asset and current environmental condition data to an optimization machine learning model configured to compare the current operating load data for the at least one asset to operating load range for the at least one asset. Optimization data may be generated for the at least one asset based on the deviation data.",
  "title": "SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR DYNAMIC ENERGY LOAD MANAGEMENT"
}