I need to predict cost for the next 4 weeks. Along with categorical variables (available for future as well), I have a numerical variable (a value from the day before prediction - I don't have future values for this variable), let's call it
foo, that is telling me if I am spending too much or too little. Basically, it tells me if I need to increase or decrease the cost in the following days. I am not sure how to approach this. How to incorporate this variable in the model.
I thought that I can I maybe declare a categorical variable for future days that would have value 'grow' for the time that it is relevant (for example first 2 weeks), and for the rest value 'na' (last 2 weeks), since I don't know the trend of cost for them? But then how would I create this variable for the past...
Maybe I just need a multiplier, to raise my cost, or lower them depending on
foo value from the day before.
Do you have any suggestions?
PS: I am planning to use LSTM, but I am open to other suggestions.