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dc.contributor.authorGarcía Retuerta, David 
dc.date.accessioned2020-11-19T12:50:52Z
dc.date.available2020-11-19T12:50:52Z
dc.date.issued2020
dc.identifier.citationGarcía Retuerta, D. (2020). A Recommendation-based Proposal for Improving Energy Efficiency in Housing. En Sara Rodríguez González, Fernando de la Prieta Pintado, José Alberto García Coria, Roberto Casado Vara (eds.) The role of artificial intelligence and distributed computing in IOT Applications, pp. 121-133es_ES
dc.identifier.urihttp://hdl.handle.net/10366/144155
dc.description.abstract[EN]75% of buildings in the EU are not designed according to any energy efficiency code and around 45%of the world’s energy is used in the residential sector. This is why one of Europe’s biggest energy challenges is to include consumers at the heart of the energy system. The aim of this work is to develop a solution to a problem of such magnitude: to create a system of personalised recommendations to each consumer that contributes to improving the energy efficiency of their home. The data will be obtained from sensorized homes in Salamanca. Some examples of possible recommendations are reducing the temperature of the thermostat, change the time at which the house is ventilated and raise the blinds at a certain time. The system developed is capable of providing these recommendations correctly an-d efficiently.es_ES
dc.language.isoenges_ES
dc.publisherEdiciones Universidad de Salamanca (España)es_ES
dc.relation.ispartofhttps://gredos.usal.es/handle/10366/147206
dc.relation.ispartofseriesAquilafuente;287
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectArtificial Intelligencees_ES
dc.subjectEnergy Efficiencyes_ES
dc.subjectMachine Learninges_ES
dc.subjectRecommending Systemes_ES
dc.titleA Recommendation-based Proposal for Improving Energy Efficiency in Housinges_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.relation.publishversionhttps://doi.org/10.14201/0AQ0287121133
dc.subject.unesco1203.04 Inteligencia Artificiales_ES
dc.subject.unesco3322.01 Distribución de la Energíaes_ES
dc.identifier.doi10.14201/0AQ0287121133
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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