Carregant...
Carregant...

Vés al contingut (premeu Retorn)

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, Smart Buildings, Energy Consumption, Temperature Sensors, Energy Efficiency, Occupancy Modeling
Grup de recerca
MCIA - Centre MCIA Innovation Electronics
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants