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Intelligent monitoring of HVAC equipment by means of aggregated power analysis

Autor
Sala, E.; 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
3978
Pàgina final
3983
DOI
https://doi.org/10.1109/IECON.2016.7794112 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7794112/ Obrir en finestra nova
Resum
The increasing ubiquity of sensing and metering devices in buildings is a gateway of opportunities for the analysis of their behavior and the detection of anomalies or sub-optimal performance. In particular, the instrumentation of HVAC equipment, necessary for its monitoring and control, may be used in order to supervise its operation at a finer level. The intelligent supervision methodology proposed in this paper allows the accurate overseeing of the power consumption of HVAC equipment by means...
Paraules clau
Load Demand Modeling, Load Demand Supervision, Artificial Intelligence Techniques, Smart Buildings
Grup de recerca
MCIA - Centre MCIA Innovation Electronics
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants