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Hidden Markov Models for indirect classification of occupant behaviour

Autor
Liisberg, J.; Moller, K.B.; Bloem, H.; Cipriano, J.; Mor, G.; Madsen, H.
Tipus d'activitat
Article en revista
Revista
Sustainable cities and society
Data de publicació
2016-11-01
Volum
27
Pàgina inicial
83
Pàgina final
98
DOI
https://doi.org/10.1016/j.scs.2016.07.001 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S221067071630141X Obrir en finestra nova
Resum
Even for similar residential buildings, a huge variability in the energy consumption can be observed. This variability is mainly due to the different behaviours of the occupants and this impacts the thermal (temperature setting, window opening, etc.) as well as the electrical (appliances, TV, computer, etc.) consumption. It is very seldom to find direct observations of occupant presence and behaviour in residential buildings. However, given the increasing use of smart metering, the opportunity ...
Paraules clau
Hidden Markov Models, Indirect classification, Occupant behaviour

Participants

  • Liisberg, Jon  (autor)
  • Möller, Klaus Braagaard  (autor)
  • Bloem, H.  (autor)
  • Cipriano Lindez, Jordi  (autor)
  • Mor, Gerard  (autor)
  • Madsen, Henrik  (autor)