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Machine learning methods to forecast temperature in buildings
dc.contributor.author | Mateo, Fernando | |
dc.contributor.author | Carrasco, Juan José | |
dc.contributor.author | Sellami, Abderrahim | |
dc.contributor.author | Millán Giraldo, Mónica | |
dc.contributor.author | Domínguez, Manuel | |
dc.contributor.author | Soria Olivas, Emilio | |
dc.date.accessioned | 2014-04-16T14:55:51Z | |
dc.date.available | 2014-04-16T14:55:51Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Expert Systems with Applications Volume 40, Issue 4, March 2013, Pages 1061–1068 | ca_CA |
dc.identifier.issn | 0957-4174 | |
dc.identifier.uri | http://hdl.handle.net/10234/90498 | |
dc.description.abstract | Efficient management of energy in buildings saves a very important amount of resources (both economic and technological). As a consequence, there is a very active research in this field. One of the keys of energy management is the prediction of the variables that directly affect building energy consumption and personal comfort. Among these variables, one can highlight the temperature in each room of a building. In this work we apply different machine learning techniques along with other classical ones for predicting the temperatures in different rooms. The obtained results demonstrate the validity of these techniques for predicting temperatures and, therefore, for the establishment of optimal policies of energy consumption. | ca_CA |
dc.format.extent | 7 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Elsevier | ca_CA |
dc.relation.isPartOf | Expert Systems with Applications, 2013, vol. 40, no 4 | ca_CA |
dc.rights | Copyright © 2012 Elsevier Ltd. All rights reserved. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | Forecasting | ca_CA |
dc.subject | Energy efficiency | ca_CA |
dc.subject | Machine learning | ca_CA |
dc.subject | Time series | ca_CA |
dc.title | Machine learning methods to forecast temperature in buildings | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1016/j.eswa.2012.08.030 | |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | ca_CA |
dc.relation.publisherVersion | http://www.sciencedirect.com/science/article/pii/S0957417412009918 | ca_CA |
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Articles de publicacions periòdiques escrits per professors del Departament de Llenguatges i Sistemes Informàtics