I am not sure how the "Sliding window" method work.
Let's assume I have a dataset of number of logins by hour.
a) A window of 24hours to predict the next 24h?
b) A window of 24h to predict the next 1h?
Well a sliding window of 24 would take 24 samples at a time moving down the index with one step. For example, if you had 24 hours in a window of length 24, you’ll have 0-23 samples in your window at iteration 0. At iteration 1, your window will move by your step size(1) down so it’ll cover 1-24.