Filling Missing Wind Speed Data Using Various Regression Technique

Missing data is very common when you do collect data. But it will be a problem when you in the data analysis phase. A common and the best practice at least for me is just ignoring the missing data. Because no matter how good your method to fill the missing pieces, there is always an error introduced by the method. And then the filler data can't be a missing piece of pattern in the data.