Each line represents the consumption on a separate day. I want to find which among these customers is most stable/consistent in terms of repeating patterns across days and which among these is most random. Is there a specific metric which measures the randomness or shape consistency among different days of time-series data?
F238 seems most consistent as compared to others because of consistency in patterns followed across days of a month, while as
F262 seems most random because every day seems to follow a different pattern. Is there any metric which can summarise this observation, such that the metric output may vary between fixed pair of values (like [0, 1])?