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Physically Meaningful Uncertainty Quantification in Probabilistic Wind
  Turbine Power Curve Models as a Damage Sensitive Feature

Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature

30 September 2022
J. H. Mclean
Matthew R. Jones
Brandon J. O'Connell
Eoghan Maguire
T. Rogers
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Papers citing "Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature"

2 / 2 papers shown
Title
A spectrum of physics-informed Gaussian processes for regression in
  engineering
A spectrum of physics-informed Gaussian processes for regression in engineering
E. Cross
T. Rogers
D. J. Pitchforth
S. Gibson
Matthew R. Jones
24
8
0
19 Sep 2023
Prediction of wind turbines power with physics-informed neural networks
  and evidential uncertainty quantification
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification
A. Gijón
Ainhoa Pujana-Goitia
E. Perea
Miguel Molina-Solana
Juan Gómez-Romero
19
4
0
27 Jul 2023
1