Classification of Behavior Profiles for Non-Residential Customers Considering the Variable of Electrical Energy Consumption: Case Study—SAESA Group S.A. Company

This work allows characterizing and classifying the consumption profiles of non-residential customers (without distributed generation) based on curves obtained from records reported by 934 smart meters in period January to December 2019, which belong an electric power distribution company Chile, SAESA Group S.A. To achieve characterization classification profiles, three typical days are analyzed determined, correspond working (Monday Friday), Saturdays, Sundays or holidays. These for each trimester 2019. The data processing is carried out Power Bi Matlab® platforms. In Bi, provided electricity worked, obtaining average client study considered, while Matlab®, visualization using K-means algorithm, finally obtain results conclusions. show existence seven representative behavior clients, which, some cases, similar behaviors, despite being different categories.