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The measurement of energy consumption by smart devices is growing rapidly. Studies of such measures is in the interest of governments and companies around the world. With the identification of user profiles by energy consumption, there are plenty of opportunities that arise every time. This article presents an approach to the electric energy consumption in a home, and seeks to identify patterns. This is done on a database with many devices that have had their power consumption measured regularly. Through a clustering algorithm used on these data, we tried to establish consumer profiles that contribute to a better use of energy. They yielded results that identified energy consumption patterns on conditions such as temperature and time.

Identificação de Perfis de Consumo Domiciliar de Energia Elétrica a partir de Algoritmos de Agrupamento