Data Preparation and Visualization of Electricity Consumption for Load Profiling

Oscar G. Duarte (), Javier A. Rosero and María del Carmen Pegalajar
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Oscar G. Duarte: Facultad de Ingeniería, Universidad Nacional de Colombia, Bogotá 111321, Colombia
Javier A. Rosero: Facultad de Ingeniería, Universidad Nacional de Colombia, Bogotá 111321, Colombia
María del Carmen Pegalajar: Escuela Técnica Superior de Ingenierías Informática y de Telecomunicaciones, Universidad de Granada, 18014 Granada, Spain

Energies, 2022, vol. 15, issue 20, 1-30

Abstract: The construction of daily electricity consumption profiles is a common practice for user characterization and segmentation tasks. As in any data analysis project, to obtain these load profiles, a stage of data preparation is necessary. This article explores to what extent does the selection of the data preparation technique impacts load profiling. The techniques discussed are used in the following tasks: standardization, construction of data, dimensionality reduction and data enrichment. The analysis reveals a great incidence of the data preparation on the result. The need to make the data preparation process explicit in each report is identified. In particular, it is highlighted that the most usual default standardization process, column standardization, is not adequate in the preparation of energy consumption profiles.

Keywords: energy profiling; data preparation; data visualization; enrichment of energy data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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