I attach my evaluation of the manuscript in PDF format

This work arises from the difficulty of analysing by means of a multifractal approach the empirical turbine power, since the production of wind turbines is limited by a maximum or nominal power. An adequate theoretical framework of wind behaviour is crucial for understanding its effect on wind turbine power. On the other hand, it is known that the existence of instrumental limits causes biases.

In this work, authors employ the universal multifractal formalism for characterizing the small-scale fluctuation in wind power production and for highlighting the aforementioned biases and their influence on statistical analysis of turbine power.

To my mind, the work is very pertinent. It is very well argued. The objectives are achieved with a robust methodology, and thus my recommendation is to accept the paper. Some minor suggestions are made below:

• On line 127, page 5 appears that the sampling frequency is 15 s. It is suggested to clearly indicate if this is the sampling resolution of the variables.
• One of the main objectives of this work is to analyse several biases due to wind measurements. On line 130, page 6 the text reads: ‘There are instances where the turbine failed to produce any power and had to consume energy for its basic operation. This results in negative values in data, and for realistic analysis, they were considered as zero’. It could be interesting if the authors could provide some light about the effect of applying this criterion.  
• On line 172, page 7 add a space between the full stop and the sentence that initiates as ‘For a conservative…’. The same is said on line 246, page 12.
• On line 207, page 9. It is suggested to clarify what are the parameters q_s and r_D.
• Figure 4. Please replace the current format of the date in the title of the Figures (2021_05_00_00_00__2021_05_26_23_59_30) with a more understandable date format.