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Data quality and dependability of IOT Platform for buildings energy assessment

datacite.subject.fosDepartamento de Informáticapt_PT
dc.contributor.advisorFerreira, Pedro Miguel Frazão Fernandes
dc.contributor.advisorCosta, António Casimiro Ferreira da, 1968-
dc.contributor.authorValente, João Miguel Mota Cláudio
dc.date.accessioned2022-07-14T10:52:36Z
dc.date.available2022-07-14T10:52:36Z
dc.date.issued2022
dc.date.submitted2021
dc.descriptionTese de mestrado, Informática, Universidade de Lisboa, Faculdade de Ciências, 2022pt_PT
dc.description.abstractIn the domain of IoT(Internet of Things), there is a correlation between the efficiency and effectiveness of a platform, and the quality of the data available for processing and decision making. When a scenario of data collection from different types of sensors, integrated into several devices that are distributed alongside the building, is presented. And, considering that data is essential to monitor and control the level of actuation in the building, the process becomes a matter of extreme importance. To achieve this, ANNODE’s methodology is adopted for quality verification of each measurement that arrives to the framework. The construction and utilization of neural net works are crucial points of this project, as well as, the correct application of dependability concepts, and notions of efficiency in processes of outlier detection and fault mitigation.pt_PT
dc.identifier.tid203205294pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/53795
dc.language.isoengpt_PT
dc.subjectInternet das Coisaspt_PT
dc.subjectqualidade dos dadospt_PT
dc.subjectdeteção de falhaspt_PT
dc.subjectmitigação de falhaspt_PT
dc.subjectTeses de mestrado - 2022pt_PT
dc.titleData quality and dependability of IOT Platform for buildings energy assessmentpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameTese de mestrado em Informáticapt_PT

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