Big data: the key to energy efficiency in smart buildings
| Type of publication: | Article |
| Citation: | |
| Journal: | Soft computing manuscrit |
| Year: | 2015 |
| URL: | http://link.springer.com/artic... |
| Abstract: | Due to the high impact that energy consumption of buildings has at global scale, it has been stated the need of achieving energy-e cient 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 pro le of the building, we propose some concrete control actions and strategies to save energy. |
| Keywords: | data intelligence analysis, Energy E ciency, energy information management, Smart Buildings, Internet of Things |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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