Machine learning methods for short‐term bid forecasting in the renewable energy market: A case study in Italy.
- Published in:
- Wind Energy, 2018, v. 21, n. 5, p. 357, doi. 10.1002/we.2166
- By:
- Publication type:
- Article
Works matching IS 10954244 AND DT 2018 AND VI 21 AND IP 5
Results: 6
1
2
Experimental identification of modal parameters of an industrial 2‐MW wind turbine.
- Published in:
- Wind Energy, 2018, v. 21, n. 5, p. 338, doi. 10.1002/we.2165
- By:
- Publication type:
- Article
3
Overall design optimization of dedicated outboard airfoils for horizontal axis wind turbine blades.
- Published in:
- Wind Energy, 2018, v. 21, n. 5, p. 320, doi. 10.1002/we.2164
- By:
- Publication type:
- Article
4
Dynamic behavior of wind turbines influenced by aerodynamic damping and earthquake intensity.
- Published in:
- Wind Energy, 2018, v. 21, n. 5, p. 303, doi. 10.1002/we.2163
- By:
- Publication type:
- Article
5
A new class of actuator surface models for wind turbines.
- Published in:
- Wind Energy, 2018, v. 21, n. 5, p. 285, doi. 10.1002/we.2162
- By:
- Publication type:
- Article
6
Issue Information.
- Published in:
- Wind Energy, 2018, v. 21, n. 5, p. 1, doi. 10.1002/we.1920
- Publication type:
- Article