benchmark energy machine learning
This data lake contains multiple datasets related to fundamental problems in wind energy research. This includes data for wind plant power production for various layouts/wind flow scenarios, data for two- and three-dimensional flow around different wind turbine airfoils/blades, wind turbine noise production, among others. The purpose of these datasets is to establish a standard benchmark against which new AI/ML methods can be tested, compared, and deployed. Details regarding the generation and formatting of the data for each dataset is included in the metadata as well as example notebooks and documentation that show how to access the data for ML modeling.
Annually
Creative Commons Attribution 4.0 United States License
https://github.com/NREL/windAI_bench
National Renewable Energy Laboratory
See all datasets managed by National Renewable Energy Laboratory.
Ryan King (ryan.king@nrel.gov)
Wind AI Bench was accessed on DATE from https://registry.opendata.aws/nrel-pds-windai.
arn:aws:s3:::nrel-pds-windai/wind_plant_power/floris/us-west-2aws s3 ls --no-sign-request s3://nrel-pds-windai/wind_plant_power/floris/arn:aws:s3:::nrel-pds-windai/aerodynamic_shapes/2D/2K_airfoils/us-west-2aws s3 ls --no-sign-request s3://nrel-pds-windai/aerodynamic_shapes/2D/2K_airfoils/arn:aws:s3:::nrel-pds-windai/aerodynamic_shapes/2D/9K_airfoils/us-west-2aws s3 ls --no-sign-request s3://nrel-pds-windai/aerodynamic_shapes/2D/9K_airfoils/