Review on occupancy detection and prediction in building simulation-Reference-Cited by-同舟云学术

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Review on occupancy detection and prediction in building simulation

Published:2021-08-04 Issue:3 Volume:15 Page:333-356
ISSN:1996-3599
Container-title:Building Simulation
language:en
Short-container-title:Build. Simul.

Author:

Ding Yan,Han Shuxue,Tian Zhe,Yao Jian,Chen Wanyue,Zhang Qiang

Publisher

Springer Science and Business Media LLC

Subject

Energy (miscellaneous),Building and Construction

Link

https://link.springer.com/content/pdf/10.1007/s12273-021-0813-8.pdf

Reference169 articles.

1. Aerts D, Minnen J, Glorieux I, et al. (2014). A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison. Building and Environment, 75: 67–78.

2. Agarwal Y, Balaji B, Gupta R, et al. (2010). Occupancy-driven energy management for smart building automation. In: Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, Zurich, Switzerland.

3. Ahmad M, Culp C (2006). Uncalibrated building energy simulation modeling results. HVAC&R Research, 12: 1141–1155.

4. Ahmad J, Larijani H, Emmanuel R, et al. (2021). Occupancy detection in non-residential buildings—A survey and novel privacy preserved occupancy monitoring solution. Applied Computing and Informatics, 17: 279–295.

5. Ai B, Fan Z, Gao RX (2014). Occupancy estimation for smart buildings by an auto-regressive hidden Markov model. In: Proceedings of the American Control Conference, Portland, OR, USA.

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