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Energies 2017, 10(12), 2047; doi:10.3390/en10122047

Segmentation of Residential Gas Consumers Using Clustering Analysis

IDMEC, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
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Received: 26 September 2017 / Revised: 13 November 2017 / Accepted: 24 November 2017 / Published: 4 December 2017
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Abstract

The growing environmental concerns and liberalization of energy markets have resulted in an increased competition between utilities and a strong focus on efficiency. To develop new energy efficiency measures and optimize operations, utilities seek new market-related insights and customer engagement strategies. This paper proposes a clustering-based methodology to define the segmentation of residential gas consumers. The segments of gas consumers are obtained through a detailed clustering analysis using smart metering data. Insights are derived from the segmentation, where the segments result from the clustering process and are characterized based on the consumption profiles, as well as according to information regarding consumers’ socio-economic and household key features. The study is based on a sample of approximately one thousand households over one year. The representative load profiles of consumers are essentially characterized by two evident consumption peaks, one in the morning and the other in the evening, and an off-peak consumption. Significant insights can be derived from this methodology regarding typical consumption curves of the different segments of consumers in the population. This knowledge can assist energy utilities and policy makers in the development of consumer engagement strategies, demand forecasting tools and in the design of more sophisticated tariff systems. View Full-Text
Keywords: residential natural gas consumption; clustering; load profile; consumer segmentation; smart metering residential natural gas consumption; clustering; load profile; consumer segmentation; smart metering
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Fernandes, M.P.; Viegas, J.L.; Vieira, S.M.; Sousa, J.M.C. Segmentation of Residential Gas Consumers Using Clustering Analysis. Energies 2017, 10, 2047.

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