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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.

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I suppose 6 months fake value is of no use, if we consider data relationship, else lead to wrong prediction.



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