Using K-means algorithm to classify customer profiles with data from smart energy consumption meters: A case study
Keywords:
Smart meters, K-means, Clustering, Load profiles, Residential clientsAbstract
Energy efficiency is part of the goals set by governments around the world to reduce the energy footprint and provide sustainable development. This work performs a classification of residential customers from the consumption data obtained from smart meters. The K-means algorithm is used to identify consumption patterns of 1179 customers connected to low-voltage distribution networks in southern Chile. The results were validated using the rough set theory, characterizing groups by their centroids and converting large volumes of data into useful knowledge for both residential customers and electricity distribution companies.
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