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dc.contributor.author | Serrano-Guerrero, Johnny Xavier | es_ES |
dc.contributor.author | Escrivá-Escrivá, Guillermo | es_ES |
dc.contributor.author | Roldán-Blay, Carlos | es_ES |
dc.date.accessioned | 2019-04-26T20:02:10Z | |
dc.date.available | 2019-04-26T20:02:10Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 0378-7788 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/119596 | |
dc.description.abstract | [EN] Many efforts have been made to define patterns, predict, and forecast energy use. However, changes in energy consumption may be studied in detail using various methodologies. This work presents a statistical methodology to assess changes in a facility consumption profile. Consumption patterns are obtained from a historical database of a predefined time interval, according to the type of day (day of the week, working or non-working), and an index that assesses change in the electrical consumption profile is proposed. Assessing these changes enables associating these values with possible events in a facility, which can serve to generate alarms in an energy management system, and reduce costs and maintenance periods. Additionally, a multi-criteria interpretation of the applied test table is presented that offers explanations and identifies possible causes of anomalous consumption. (C) 2018 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | This research work has been made possible by the support of Universidad Politecnica Salesiana Sede Cuenca and the GV/2015/068 grants for emerging research group projects. | |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Energy and Buildings | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Consumption profiles | es_ES |
dc.subject | Changes in consumption | es_ES |
dc.subject | Electrical consumption patterns | es_ES |
dc.subject | Building management | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Statistical methodology to assess changes in the electrical consumption profile of buildings | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.enbuild.2017.12.059 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GV%2F2015%2F068/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica | es_ES |
dc.description.bibliographicCitation | Serrano-Guerrero, JX.; Escrivá-Escrivá, G.; Roldán-Blay, C. (2018). Statistical methodology to assess changes in the electrical consumption profile of buildings. Energy and Buildings. 164:99-108. https://doi.org/10.1016/j.enbuild.2017.12.059 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.enbuild.2017.12.059 | es_ES |
dc.description.upvformatpinicio | 99 | es_ES |
dc.description.upvformatpfin | 108 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 164 | es_ES |
dc.relation.pasarela | S\353445 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |