0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Chen, Zhenghua / Soh, Yeng Chai (2017): Comparing occupancy models and data mining approaches for regular occupancy prediction in commercial buildings. In: Journal of Building Performance Simulation, v. 10, n. 5-6 (October 2017).

    https://doi.org/10.1080/19401493.2016.1199735

  2. Chen, Zhenghua / Xu, Jinming / Soh, Yeng Chai (2015): Modeling regular occupancy in commercial buildings using stochastic models. In: Energy and Buildings, v. 103 (September 2015).

    https://doi.org/10.1016/j.enbuild.2015.06.009

  3. Chen, Zhenghua / Masood, Mustafa K. / Soh, Yeng Chai (2016): A fusion framework for occupancy estimation in office buildings based on environmental sensor data. In: Energy and Buildings, v. 133 (December 2016).

    https://doi.org/10.1016/j.enbuild.2016.10.030

  4. Zhu, Qingchang / Chen, Zhenghua / Masood, Mustafa K. / Soh, Yeng Chai (2017): Occupancy estimation with environmental sensing via non-iterative LRF feature learning in time and frequency domains. In: Energy and Buildings, v. 141 (April 2017).

    https://doi.org/10.1016/j.enbuild.2017.01.057

  5. Chen, Zhenghua / Jiang, Chaoyang / Xie, Lihua (2018): Building occupancy estimation and detection: A review. In: Energy and Buildings, v. 169 (June 2018).

    https://doi.org/10.1016/j.enbuild.2018.03.084

  6. Chen, Zhenghua / Jiang, Chaoyang (2018): Building occupancy modeling using generative adversarial network. In: Energy and Buildings, v. 174 (September 2018).

    https://doi.org/10.1016/j.enbuild.2018.06.029

  7. Jiang, Chaoyang / Chen, Zhenghua / Su, Rong / Masood, Mustafa Khalid / Soh, Yeng Chai (2020): Bayesian filtering for building occupancy estimation from carbon dioxide concentration. In: Energy and Buildings, v. 206 (January 2020).

    https://doi.org/10.1016/j.enbuild.2019.109566

Search for a publication...

Only available with
My Structurae

Full text
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine