Identifying services for short-term load forecasting using data driven models in a Smart City platform
dc.contributor.author
dc.date.accessioned
2017-01-16T12:47:35Z
dc.date.available
2021-04-07T08:03:00Z
dc.date.issued
2017-01-01
dc.identifier.issn
2210-6707
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dc.description.abstract
The paper describes an ongoing work to embed several services in a Smart City architecture with the aim of achieving a sustainable city. In particular, the main goal is to identify services required in such framework to define the requirements and features of a reference architecture to support the data-driven methods for energy efficiency monitoring or load prediction. With this object in mind, a use case of short-term load forecasting in non-residential buildings in the University of Girona is provided, in order to practically explain the services embedded in the described general layers architecture. In the work, classic data-driven models for load forecasting in buildings are used as an example
dc.description.sponsorship
This research project has been partially funded through BR-UdGScholarship of the University of Girona granted to Joaquim MassanaRaurich. Work developed with the support of the research groupSITES awarded with distinction by the Generalitat de Catalunya(SGR 2014–2016), the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R) and the European Union’s Horizon2020 Research and Innovation Programme under grant agreementNo 680708
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application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/grantAgreement/MINECO//DPI2013-47450-C2-1-R/ES/PLATAFORMA PARA LA MONITORIZACION Y EVALUACION DE LA EFICIENCIA DE LOS SISTEMAS DE DISTRIBUCION EN SMART CITIES/
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Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.scs.2016.09.001
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© Sustainable Cities and Society, 2017, vol. 28, p. 108-117
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Articles publicats (D-EEEiA)
dc.rights
Tots els drets reservats
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dc.title
Identifying services for short-term load forecasting using data driven models in a Smart City platform
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
2019-01-01
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2019-01-01
dc.relation.projectID
info:eu-repo/grantAgreement/EC/H2020/680708/EU/Highly Innovative building control Tools Tackling the energy performance GAP/HIT2GAP
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.identifier.idgrec
025833
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