Accounting for environmental conditions in data-driven wind turbine power models

HIGHLIGHTS

• who: -Condition monitoring et al. from the (UNIVERSITY) have published the Article: Accounting for Environmental Conditions in Data-Driven Wind Turbine Power Models, in the Journal: (JOURNAL)
• what: The wind shear, turbulence intensity and air density have strong relationships with topography and meteorological conditions and therefore, their impacts on the power curve model are important for wind farms condition monitoring and performance analysis purposes as described as follows. If the authors compare Figs 5 and 6, results suggest that without pre-correction but with air density further improves GP model accuracy, which is slightly better . . .
  

   

  

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