@misc{10481/78018,
year = {2022},
month = {10},
url = {https://hdl.handle.net/10481/78018},
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.},
organization = {Asociacion Universitaria Iberoamericana de Posgrados (AUIP)},
organization = {Ministry of Science and Innovation, Spain (MICINN)
Spanish Government	PID2020-112495RB-C21	
I+D+i FEDER 2020 project	B-TIC-42-UGR20},
publisher = {MDPI},
keywords = {Energy profiling},
keywords = {Data preparation},
keywords = {Data visualization},
keywords = {Enrichment of energy data},
title = {Data Preparation and Visualization of Electricity Consumption for Load Profiling},
doi = {10.3390/en15207557},
author = {Duarte, Óscar G. and Pegalajar Jiménez, María Del Carmen},
}