Forecasting of a temporary row on the basis of the caterpillar method — Ssa

Based on the Visual representation of the results of the decomposition of the singular trajectory matrix time series that contains the data of power consumption for 28 days, the trend and the periodic component of the series. The accuracy of the prediction when you use the <;<;Caterpillar-SSA>> was 1.75 %.