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Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings

Autor
Sala, E.; Zurita, D.; Kampouropoulos, K.; Delgado Prieto, M.; Romeral, L.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
42nd Annual Conference of the IEEE Industrial Electronics Society
Any de l'edició
2016
Data de presentació
2016-10-26
Llibre d'actes
Proceedings of the IECON2016: 42nd annual conference of the Industrial Electronics Society: Florence (Italy), October 24-27, 2016
Pàgina inicial
4002
Pàgina final
4007
DOI
https://doi.org/10.1109/IECON.2016.7793491 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7793491/ Obrir en finestra nova
Resum
Buildings often operate under inefficient conditions and configurations due to their complex dynamics, a necessity of in-depth knowledge and intricate analysis tools. The fact is that interest in proposing higher order approaches for tackling efficiency problems in buildings has been steadily increasing during recent years. A wide range of approaches are being demonstrated, from model-predictive control schemes to frameworks for the detection of anomalies in energy consumption. Occupancy-centric...
Paraules clau
Demand-side management, Energy consumption, Energy efficiency, Occupancy modeling, Smart buildings, Temperature sensors
Grup de recerca
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants