DocumentCode :
2133322
Title :
Exploiting IoT-based sensed data in smart buildings to model its energy consumption
Author :
Moreno, M.Victoria ; Skarmeta, Antonio F. ; Dufour, Luc ; Genoud, Dominique ; Jara, Antonio J.
Author_Institution :
Computer Science Faculty, University of Murcia, Espinardo Campus, 30100, Spain
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
698
Lastpage :
703
Abstract :
Due to the high impact that energy consumption of buildings has at global scale, it has been stated the need of achieving energy-efficient buildings to reduce CO2 emissions and energy consumption at global scale. In this work we propose to model the energy consumption associated with services provided in buildings to help select the best strategies to save energy. To verify the feasibility of the proposed approach using measurements of relevant parameters affecting, we carry out some analysis in a reference building of which we have contextual data. Firstly, we provide a complete characterization of this building in term of its energy consumption and generate accurate building models able to predict its energy consumption given a concrete set of inputs. Finally, considering the generated energy usage profile of the building, we propose some concrete control actions and strategies to save energy.
Keywords :
Buildings; Data models; Energy consumption; Estimation; Feature extraction; Predictive models; Temperature measurement; Big Data; Data Modelling; Energy Efficiency; Internet of Things; Smart Buildings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7248403
Filename :
7248403
Link To Document :
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