I am working on predictive maintenance and get temperature data from assets. In few months or few days asset remains down and we do not get temperature value. In this scenario i cannot fill data with missing value techniques. Also cannot give some number because even 0 and -1 are valid values for temperature. How to deal with such data?
I am thinking of putting very big value for such columns which is not possible as temperature. Please suggest.
I suppose 6 months fake value is of no use, if we consider data relationship, else lead to wrong prediction.