{
  "$type": "site.standard.document",
  "description": "A method and device for predicting the thermal load of an electrical system. The method comprises: S1: pre-processing historical daily data of the thermal load of an electrical system; S2: acquiring a data daily reference line according to the pre-processed historical daily data; S3: dividing the…",
  "path": "/patents/1422040",
  "publishedAt": "2025-07-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06N3/0499",
    "ENNEW DIGITAL TECH CO LTD [CN]"
  ],
  "textContent": "A method and device for predicting the thermal load of an electrical system. The method comprises: S1: pre-processing historical daily data of the thermal load of an electrical system; S2: acquiring a data daily reference line according to the pre-processed historical daily data; S3: dividing the acquired data daily reference line into multiple time sections; S4: screening the historical daily data, and calculating a trend similarity value of the screened historical daily data and the data daily reference line within each divided time section respectively; S5: choosing historical daily data corresponding to a trend similarity value greater than a preset reference value to form a similarity sequence matrix; S6: inputting the similarity sequence matrix into an extreme learning machine (ELM) for training, acquiring a prediction model, and predicting the thermal load of the electrical system. The method effectively retains important change trend information in a time sequence of a thermal load by using a time sequence representation method based on trend segmentation, thereby being capable of more accurately predicting the change trend of the thermal load.",
  "title": "METHOD AND DEVICE FOR PREDICTING THERMAL LOAD OF ELECTRICAL SYSTEM"
}