Time Series Analysis, Exploratory Data Analysis, Feature Engineering, Energy Consumption, Data Science.
autocorrelations for small lags are usually large and positive because observations close in time are also nearby in value. When data show seasonality, autocorrelation values will be larger in correspondence of seasonal lags (and multiples of the seasonal period) than for other lags. Data with both