{
  "$type": "site.standard.document",
  "description": "A method of predicting power generation using meta-learning includes: (a) receiving, by a main server, power generation data and weather data of one or more power plants; (b) scaling, by the main server, the power generation data using respective capacities of the one or more power plants; (c)…",
  "path": "/patents/1375067",
  "publishedAt": "2025-04-17T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H02J3/004",
    "Encored Technologies co.,LTD"
  ],
  "textContent": "A method of predicting power generation using meta-learning includes: (a) receiving, by a main server, power generation data and weather data of one or more power plants; (b) scaling, by the main server, the power generation data using respective capacities of the one or more power plants; (c) scaling, by the main server, the weather data using maximum and minimum weather values during a predetermined period; (d) generating, by the main server, a weather-power generation input sequence using weather scaling data corresponding to a first past period and a prediction period that are continuous to each other, and power generation scaling data corresponding to a second past period that is longer than the first past period; and (e) inputting, by the main server, the weather-power generation input sequence into a power generation prediction model to acquire a power generation output sequence corresponding to the prediction period.",
  "title": "METHOD FOR PREDICTION POWER GENERATION USING META-LEARNING, DEVICE AND SYSTEM USING THE SAME"
}