Identification of electricity consumption profiles based on smart meters data

Abstract

The changes and evolution of the electricity distribution has provided new possibilities to the electricity providers for developing a better marketing and trading strategies. A key aspect for designing specific tariff structures is the identification of customers groups exhibiting similar consumption patterns. This paper presents a new methodology for the classification of electricity customers on the basis of their electrical behaviour. Approach is based on the periodicity analysis and well known clustering technique – k–means. The paper presents the classification results obtained on a set of 3753 industrial users, whose consumption has been monitored for 3 years