Identification of Patterns of Electricity Consumption of the City of Panama Using Independent Component Analysis

In this paper, a procedure for the identification and analysis of time series patterns of electrical consumption using Independent Component Analysis (ICA) is presented. The load demand of Panama City is used from 2006 to 2018. With ICA, it is possible to identify its growth trend, weekly consumption cycles, periodic increases in consumption in the months of December and blackouts. ICA is presented as a method identifies these behaviors and presents them in a set of components without losing the representativeness of the data. In this way, ICA offers a deeper vision of electricity consumption with the aim of facilitating its modeling and forecasting.