Abstract: Wind assessments are conducted using mathematical statistics (ratio method, linear regression, etc.) that carry out interpolation corrections and test the effects to achieve the revised requirements. However, wind power density is not presently tested. Without wind density, the wind power assessment may impact the modelled relationships between windspeed and wind power. In order to verify the situation, we selected two wind towers within the Hubei Province, and used observation data of wind speed from a “high wind speed year” (2013) and a “low wind speed year” (2014). Data from missing periods was filled using interpolation, linear regression and ratio methods. The wind speed data from August was analyzed. The results showed that for the changes in wind speed trends, measured and calculated values were consistent with the interpolation correction. The measured wind power density and wind speed was in agreement with the calculated values. The mean absolute percentage error (MAPE) of the measured values from the tower 1 was greater than 150%; the relative root mean square error (rRMSE) was more than 90%; the average deviation (MBE) was -15.5 ~ -10 W/m², indicating that the simulated value was smaller than the measured value. The MAPE, rRMSE and MBE of the measured values from the tower 2 were 100%, 70% and 1.9 ~ 6.3 W/m², respectively, indicating that the simulated value was larger than the measured value.