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Commissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA)

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dc.contributor.authorRodríguez Rodríguez, Ignacio
dc.contributor.authorGonzález Vidal, Aurora
dc.contributor.authorRamallo González, Alfonso Pablo
dc.contributor.authorZamora Izquierdo, Miguel Ángel
dc.contributor.departmentIngeniería de la Información y las Comunicaciones
dc.contributor.otherFacultades de la UMU::Facultad de Informática
dc.date.accessioned2026-02-18T12:09:47Z
dc.date.available2026-02-18T12:09:47Z
dc.date.copyright© 2018 by the authors
dc.date.issued2018-08-27
dc.description.abstractHuman behavior is one of the most challenging aspects in the understanding of building physics. The need to evaluate it requires controlled environments and facilities in which researchers can test their methods. In this paper, we present the commissioning of the Controlled and Automatized Testing Facility for Human Behavior (CASITA). This is a controlled space emulation of an office or flat, with more than 20 environmental sensors, 5 electrical meters, and 10 actuators. Our contribution shown in this paper is the development of an infrastructure-Artificial Intelligence (AI) model pair that is perfectly integrated for the study of a variety of human energy use aspects. This facility will help to perform studies about human behavior in a controlled space. To verify this, we have tested this emulation for 60 days, in which equipment was turned on and off, the settings of the conditioning system were modified remotely, and lighting operation was similar to that in real behaviors. This period of commissioning generated 74.4 GB of raw data including high-frequency measurements. This work has shown that CASITA performs beyond expectations and that sensors and actuators could enable research on a variety of disciplines related to building physics and human behavior. Also, we have tested the PROPHET software, which was previously used in other disciplines and found that it could be an excellent complement to CASITA for experiments that require the prediction of several pertinent variables in a given study. Our contribution has also been to proof that this package is an ideal “soft” addition to the infrastructure. A case study forecasting energy consumption has been performed, concluding that the facility and the software PROPHET have a great potential for research and an outstanding accuracy.
dc.formatapplication/pdf
dc.format.extent16
dc.identifier.citationSensors, 2018, Vol. 18(9), 2829
dc.identifier.doihttps://doi.org/10.3390/s18092829
dc.identifier.eissn1424-8220
dc.identifier.urihttp://hdl.handle.net/10201/207661
dc.languageeng
dc.publisherMDPI
dc.relationThis work has been sponsored by the Spanish Ministry of Economy and Competitiveness through 387 the PERSEIDES (ref. TIN2017-86885-R) and CHIST-ERA (ref. PCIN-2016-010) projects; by MINECO grant BES-2015-071956 and by the European Comission through the H2020-ENTROPY-649849 EU Project.
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/18/9/2829
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEnergy
dc.subjectBuildings
dc.subjectModelling
dc.subject.odsNo relacionado con ningún objetivo de desarrollo sostenible
dc.titleCommissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA)
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
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relation.isAuthorOfPublicationc1a6d79d-65c2-4562-9b96-db717bdafc15
relation.isAuthorOfPublicationbdd46184-63df-422a-87ea-a16c48b45704
relation.isAuthorOfPublication.latestForDiscoverycf8009bf-6088-449d-9f79-a516af312945
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