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Automated Detection of Electric Energy Consumption Load Profile Patterns

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Automated Detection of Electric Energy Consumption Load Profile Patterns

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dc.contributor.author Benítez, Ignacio es_ES
dc.contributor.author Diez, José-Luís es_ES
dc.date.accessioned 2023-10-25T18:02:40Z
dc.date.available 2023-10-25T18:02:40Z
dc.date.issued 2022-03 es_ES
dc.identifier.uri http://hdl.handle.net/10251/198814
dc.description.abstract [EN] Load profiles of energy consumption from smart meters are becoming more and more available, and the amount of data to analyse is huge. In order to automate this analysis, the application of state-of-the-art data mining techniques for time series analysis is reviewed. In particular, the use of dynamic clustering techniques to obtain and visualise temporal patterns characterising the users of electrical energy is deeply studied. The performed review can be used as a guide for those interested in the automatic analysis and groups of behaviour detection within load profile databases. Additionally, a selection of dynamic clustering algorithms have been implemented and the performances compared using an available electric energy consumption load profile database. The results allow experts to easily evaluate how users consume energy, to assess trends and to predict future scenarios. es_ES
dc.description.sponsorship The data analysed has been facilitated by the Spanish Distributor Iberdrola Electrical Distribution S.A. as part of the research project GAD (Active Management of the Demand), national project by DEVISE 2010 funded by the INGENIIO 2010 program and the CDTI (Centre for Industrial Technology Development), Business Public Entity dependent of the Ministry of Economy and Competitiveness of the Government of Spain. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Time series analysis es_ES
dc.subject Dynamic clustering es_ES
dc.subject User load profiles es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Automated Detection of Electric Energy Consumption Load Profile Patterns es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en15062176 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Benítez, I.; Diez, J. (2022). Automated Detection of Electric Energy Consumption Load Profile Patterns. Energies. 15(6):1-26. https://doi.org/10.3390/en15062176 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en15062176 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 26 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 6 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\461805 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Centro para el Desarrollo Tecnológico Industrial es_ES
upv.costeAPC 1250 es_ES


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