Time Series Analysis, Exploratory Data Analysis, Feature Engineering, Energy Consumption, Data Science.
day, the second to the value of the day before and so on. Lag analysis is based on computing correlations between the series and a lagged version of the series itself, this is also called autocorrelation. For a k-lagged version of a series, we define the autocorrelation coefficient as: Where y bar