公开(公告)号：US20240054267A1

公开(公告)日：2024-02-15

申请号：US17766504

申请日：2020-09-14

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Martin QVIST ,  Ana Maria Martinez FERNANDEZ ,  Hans Harhoff ANDERSEN ,  Hjalte Vinther KIEFER

IPC: G06F30/27 ,  H02J3/00

CPC classification number: G06F30/27 ,  H02J3/004 ,  G06F2113/06

Abstract: Correlated sets of historical meteorological data and terrain data are obtained for at least one geographical area. A data model is derived based on the basis of the correlated sets, by training the data model. The trained data model is adapted to identify coherence between meteorological data and terrain data relating to the same geographical area. Meteorological data and terrain data related to the renewable energy site are fed to the trained data model, the terrain data having a higher resolution than the meteorological data. Using the trained model, meteorological data related to the renewable energy site with increased resolution is estimated by downscaling the meteorological data. The estimated meteorological data with increased resolution for the renewable energy site is then used for planning a layout of the renewable energy site.