Method and system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration
US12216973B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2024 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Apr 16, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A30/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and a system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration are disclosed. The method includes: obtaining, in response to a power prediction demand for a target new energy station, future numerical weather prediction data of the target new energy station in a future period and historical output power of a historical period corresponding to the future period; selecting, based on missing of the future numerical weather prediction data and a data amount of the historical output power, a target power prediction model corresponding to the target new energy station; and adjusting the target power prediction model according to the target working mode, and predicting, by the adjusted target power prediction model, a target output power of the target new energy station in the future period, based on the future numerical weather prediction data and the historical output power.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.