TY  - JOUR
T1  - Big data: the key to energy efficiency in smart buildings
A1  - Moreno, Victoria
A1  - Dufour, Luc
A1  - Gómez Skarmeta, Antonio F
A1  - Jara, Antonio J
A1  - Genoud, Dominique
A1  - Ladevie, Bruno
A1  - Bezian, Jean-Jacques
JA  - Soft computing manuscrit
Y1  - 2015
UR  - http://link.springer.com/article/10.1007/s00500-015-1679-4
KW  - 
 data intelligence analysis
KW  - 
 Energy Eciency
KW  - 
 energy information management
KW  - 
 Smart Buildings
KW  - Internet of Things
N2  - Due to the high impact that energy consumption of buildings has at global scale, it has been stated the need of achieving energy-ecient buildings to reduce CO2 emissions and energy consumption at global scale. In this work we present a novel approach to generate models of the building energy consumption associated with comfort services. Thus, analysing these models enables select the best strategies to save energy. To verify the feasibility of this proposal, 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 prole of the building, we propose some concrete control actions and strategies to save energy.
ER  -