Method and system for predicting a day-ahead wind power of wind farms
US12159245B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Feb 26, 2022 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | May 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0475
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for predicting a day-ahead wind power of wind farms, comprising: constructing a raw data set based on a correlation between the to-be-predicted daily wind power, the numerical weather forecast meteorological feature and a historical daily wind power; obtaining a clustered data set and performing k-means clustering, obtaining a raw data set with cluster labels, and generating massive labeled scenes based on robust auxiliary classifier generative adversarial networks; determining the cluster label category of the to-be-predicted day based on the known historical daily wind power and numerical weather forecast meteorological feature, and screening out multiple scenes with high similarity to the to-be-predicted daily wind power based on the cluster label category; and obtaining the prediction results of the to-be-predicted daily wind power at a plurality of set times based on an average value, an upper limit value and a lower limit value of the to-be-predicted daily wind power.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.