{
  "$type": "site.standard.document",
  "coverImage": {
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  "description": "Provided are a method for generating an installed capacity of a power system, a device, a medium, and a product. The method includes: acquiring an expected upper limit of a one-time investment coefficient and an expected lower limit of a new energy consumption rate for a target power system…",
  "path": "/patents/1385792",
  "publishedAt": "2026-06-04T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H02J3/004",
    "North China Electric Power University"
  ],
  "textContent": "Provided are a method for generating an installed capacity of a power system, a device, a medium, and a product. The method includes: acquiring an expected upper limit of a one-time investment coefficient and an expected lower limit of a new energy consumption rate for a target power system; determining an installed capacity of the target power system by using a power system installed capacity generation model. The installed capacity is defined by an installed capacity upper bound and an installed capacity lower bound, and the power system installed capacity generation model is obtained by training a Convolutional Neural Network (CNN)-Bidirectional Long Short-Term Memory (BiLSTM)-Bidirectional Gated Recurrent Unit (BiGRU) neural network model using a training dataset. The training dataset is established using a multi-objective coronavirus disease optimization algorithm and a wave search algorithm. The CNN-BiLSTM-BiGRU neural network model includes a CNN, a BiLSTM neural network, and a BiGRU connected sequentially.",
  "title": "METHOD FOR GENERATING INSTALLED CAPACITY OF POWER SYSTEM, DEVICE, MEDIUM, AND PRODUCT"
}