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dc.contributor.authorDuarte, Óscar G.
dc.contributor.authorPegalajar Jiménez, María Del Carmen 
dc.date.accessioned2022-11-17T13:12:51Z
dc.date.available2022-11-17T13:12:51Z
dc.date.issued2022-10-13
dc.identifier.citationDuarte, O.G.; Rosero, J.A.; Pegalajar, M.d.C. Data Preparation and Visualization of Electricity Consumption for Load Profiling. Energies 2022, 15, 7557. [https://doi.org/10.3390/en15207557]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/78018
dc.description.abstractThe 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.es_ES
dc.description.sponsorshipAsociacion Universitaria Iberoamericana de Posgrados (AUIP)es_ES
dc.description.sponsorshipMinistry of Science and Innovation, Spain (MICINN) Spanish Government PID2020-112495RB-C21 I+D+i FEDER 2020 project B-TIC-42-UGR20es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEnergy profilinges_ES
dc.subjectData preparationes_ES
dc.subjectData visualizationes_ES
dc.subjectEnrichment of energy dataes_ES
dc.titleData Preparation and Visualization of Electricity Consumption for Load Profilinges_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/en15207557
dc.type.hasVersionVoRes_ES


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