Similarity analysis of the patterns of the monthly electric energy demand time series

Abstract

The similarity analysis of the monthly electric energy demand time series sequence patterns are shown. The similarity-based forecasting models are allowed to be created because a strong relationship between input and output patterns exists. The chi-square test and the correlation tables were calculated for a few definitions of patterns.