Evaluation of orography and roughness model inputs and deep neural network regression for wind speed predictions.
- Published in:
- Wind Energy, 2022, v. 25, n. 12, p. 2036, doi. 10.1002/we.2782
- By:
- Publication type:
- Article
Works matching IS 10954244 AND DT 2022 AND VI 25 AND IP 12
Results: 6
1
2
Issue Information.
- Published in:
- Wind Energy, 2022, v. 25, n. 12, p. 1973, doi. 10.1002/we.2659
- Publication type:
- Article
3
Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine.
- Published in:
- Wind Energy, 2022, v. 25, n. 12, p. 2016, doi. 10.1002/we.2781
- By:
- Publication type:
- Article
4
Experimental and numerical investigation of the yaw moment of a downwind coned wind turbine rotor.
- Published in:
- Wind Energy, 2022, v. 25, n. 12, p. 1995, doi. 10.1002/we.2779
- By:
- Publication type:
- Article
5
An efficient blade sweep correction model for blade element momentum theory.
- Published in:
- Wind Energy, 2022, v. 25, n. 12, p. 1977, doi. 10.1002/we.2778
- By:
- Publication type:
- Article
6
An assessment of observed wind speed and wind power density over China for 1980–2021.
- Published in:
- Wind Energy, 2022, v. 25, n. 12, p. 2052, doi. 10.1002/we.2783
- By:
- Publication type:
- Article