Skip to main content
Home
IEA-EBC Annex 66
Definition and Simulation of Occupant Behavior in Buildings

Main menu

  • Home
  • Subtasks
  • Participants
  • Publications
  • Events
  • News
  • Meetings
  • Collaboration
  • Bibliography
  • Contacts
  • About IEA & EBC

You are here

Home

Occupants Behavior Research Bibliography

Author Title Type [ Year(Desc)]
Filters: Keyword is HVAC systems  [Clear All Filters]
2013
L. Seungwoo, Yohan, C., Yunjong, K., Rhan, H., and Hojung, C., “Occupancy prediction algorithms for thermostat control systems using mobile devices”, Smart Grid, IEEE Transactions on, vol. 4, pp. 1332-1340, 2013.
  • Google Scholar
T. Ekwevugbe, Brown, N., Pakka, V., and Fan, D., “Real-time building occupancy sensing using neural-network based sensor network”, Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on. pp. 114-119, 2013.
  • Google Scholar
P. Jianli, Jain, R., Biswas, P., Weining, W., Addepalli, S., and Paul, S., “Toward an energy-proportional building prospect: Evaluation and analysis of the energy consumption in a green building testbed”, Energytech, 2013 IEEE. pp. 1-6, 2013.
  • Google Scholar
   EBC is a programme of the International Energy Agency (IEA)
 
Your use of the Annex 66 website is subject to the following terms and conditions: annex66.org is operated by Lawrence Berkeley National Laboratory, a Department of Energy National Laboratory managed and operated by the University of California (“LBNL” and “Berkeley Lab”) engaged in fundamental, unclassified research in the public interest. By using this site, you agree to abide by the terms of the LBNL Privacy and Security notice, this Use Agreement, the terms described herein and the Annex 66 Privacy Policy. You also acknowledge that the data in Annex 66 is subject to error and may not be accurate enough for your application. You agree not to hold the developers, contributors, hosts of Annex 66, the Regents of the University of California, and the Department of Energy liable for any inaccuracies in the data, or consequences thereof, or for any claims brought by any third party regarding their data contributions.