Towards a Data Driven Platform for Energy Efficiency Monitoring: Two Use Cases
dc.contributor.author
dc.date.accessioned
2017-04-18T07:55:49Z
dc.date.available
2017-04-18T07:55:49Z
dc.date.issued
2015-09-19
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dc.description
Comunicació presentada a: 11th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015) (AIAI 2015), Bayonne, France, September 14-17, 2015
dc.description.abstract
The paper describes an ongoing work to define a framework to support
monitoring procedures for distribution systems in smart cities. Specific use cases,
involving data driven methods for energy monitoring, benchmarking and forecasting
in urban scenarios are analysed. The objective is to identify services required
in such framework to define the requirements of a reference architecture
to support data-driven methods for energy efficiency monitoring and assessment.
Use cases focus on multi-entity buildings monitoring and consumption forecasting
dc.description.sponsorship
This work is being developed within the project, MESC- Platform for Monitoring and assessing the Efficiency of distribution systems in Smart Cities (Ref. DPI2013-47450-C2-1-R, 2014/16). Authors want to thank the organization of the Workshop SmarTABCD'15 (Workshop on Smart Technologies and Applications on Buildings, Cities and Districts, collocated with AIAI’15) to invite to present the MESC project for discussion in the context of Highly Innovative Building Control Tools Tackling the Energy Performance GAP (HIT2GAP)
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
International Federation for Information Processing (IFIP)
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/
dc.relation.ispartof
© International Conference on Artificial Intelligence Applications and Innovations (11è : 2015 : Bayonne, France). Proceedings of the Special Tracks and Workshops at the 11th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), 2015, vol. 1539
dc.relation.ispartofseries
Contribucions a Congressos (IIiA)
dc.rights
Tots els drets reservats
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dc.title
Towards a Data Driven Platform for Energy Efficiency Monitoring: Two Use Cases
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess
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.contributor.funder
dc.relation.FundingProgramme
dc.relation.ProjectAcronym