Abstract
This article introduces a dataset containing electricity consumption records of residential households in Uruguay (mostly in Montevideo). The dataset is conceived to analyze customer behavior and detect patterns of energy consumption that can help to improve the service. The dataset is conformed by three subsets that cover total household consumption, electric water heater consumption, and by-appliance electricity consumption, with sample intervals from one to fifteen minutes. The datetime ranges of the recorded consumptions vary depending on the subset, from some weeks long to some years long. The data was collected by the Uruguayan electricity company (UTE) and studied by Universidad de la República. The presented dataset is a valuable input for researchers in the study of energy consumption patterns, energy disaggregation, the design of energy billing plans, among other relevant issues related to the intelligent utilization of energy in modern smart cities.
Highlights
Background & SummaryWorldwide, electricity consumption of residential household showed an uninterrupted growth in the last fifty years[1]
In Uruguay, electricity is provided by the state-owned electric company, Administración Nacional de Usinas y Trasmisiones Eléctricas (UTE)
Uruguayan population is 3.4 million people, 1.3 million of them living in its capital, Montevideo
Summary
Electricity consumption of residential household showed an uninterrupted growth in the last fifty years[1]. The electrical matrix has diversified using renewable resources such as wind, solar, biomass energy, whose energy generation depends on weather conditions This scenario allows implementing a proper management of the generated energy, making use of the potential of thermal storage in electric water heater of residential customers (see a description of this possible application on section ‘Applicabity’, at the end of this article). A joint research project between UTE and the national university, Universidad de la República, was proposed to study the electricity consumption patterns of residential customers In this context, the main motivations to create the presented dataset are related to study those patterns, detect similarities and anomalies, and be used as input of intelligent algorithms for planning, designing a recommendation system for citizens, and improve the overall quality of the electric service. ECD-UY is the only public dataset describing residential electricity consumption with low-interval records in Uruguay, the first available in its type in Latin America
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