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dc.contributor.authorLarrinaga, Felix
dc.contributor.otherMulero, Sofía
dc.contributor.otherHernández, José L.
dc.contributor.otherVicente, Julia
dc.contributor.otherSáez de Viteri, Patxi
dc.date.accessioned2024-04-25T14:00:12Z
dc.date.available2024-04-25T14:00:12Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-6728-2en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=158898en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6379
dc.description.abstractCities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT data with the aim of reducing the gap between demand and consumption, minimizing the energy losses. Smart and efficient energy planning is the ultimate objective, where the final energy usage is fitted into the predicted demand. One day time horizon is used in order to provide energy managers, ESCOs or urban planners with an accurate forecast about the required energy. This service will be available on the urban platform of Vitoria under the context of the SmartEnCity project (GA # 691883). However, the training data has been captured from CITyFiED project (GA # 609129), which is energetically speaking similar. The city elements included in the training model have been characterized based on data from combined static and dynamic data to adapt the context through machine-learning techniques.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2020 IEEEen
dc.subjectsmart citiesen
dc.subjectEnergy efficiencyen
dc.subjectEnergy Planningen
dc.subjectDigital Servicesen
dc.subjectMachine learningen
dc.titleData-driven energy resource planning for Smart Citiesen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.source2020 Global Internet of Things Summit (GIoTS)en
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/GIOTS49054.2020.9119561en
local.contributor.otherinstitutionCARTIFes
local.contributor.otherinstitutionCorporación Mondragones
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
oaire.funderNameComisión Europeaen
oaire.funderNameComisión Europeaen
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780en
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780
oaire.fundingStreamH2020en
oaire.fundingStreamSpecific Programme "Cooperation": Energyen
oaire.awardNumber691883en
oaire.awardNumber609129.en
oaire.awardTitleTowards Smart Zero CO2 Cities across Europe (SmartEnCity)en
oaire.awardTitleRepliCable and InnovaTive Future Efficient Districts and cities (CITYFIED)en
oaire.awardURIhttps://doi.org/10.3030/691883en
oaire.awardURIhttps://cordis.europa.eu/project/id/609129en


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