As the nation moves toward clean energy goals, many have started to utilize renewable energy sources to balance their energy needs. Among the many renewable energy sources, wind and solar are the most prominent and readily available. So, a complete analysis of these sources in an area is necessary to attain the maximum potential available in the area for effective power generation. To obtain an effective outcome, the data used for analysis must not contain any missing or erroneous values. In this paper, a comparative analysis of the wind speed prediction models with data imputation techniques has been carried out, and their results are compared to achieve the most suitable model for effective power generation.