Publications

Generative DfX in high-rise modular building:

An expert-augmented cascade graph learning

and optimisation approach

 

Related Publications

  1. Peng, Z., Lu, W.S., Hao, T., Tang, X., Huang, J.X., Webster, C. (2023). Cost-aware generative design for urban ‘cool spots’: A Random Forest-Principal Component Analysis-augmented combinatorial optimization approach. Building and Energy. https://doi.org/10.1016/j.enbuild.2023.113317.
  2. Zheng, L., Lu, W.S., and Zhou, Q.Y. (2023). Weather image-based short-term dense wind speed forecast with a ConvLSTM-LSTM deep learning model. Building and Environment. https://doi.org/10.1016/j.buildenv.2023.110446.
  3. Zheng, L., Lu, W.S., Wu, L., and Zhou, Q.Y. (2022). A review of integration between BIM and CFD for building outdoor environment simulation. Building and Environment. https://doi.org/10.1016/j.buildenv.2022.109862.
  4. Zhou, Q., & Xue, F. (2023). Pushing the boundaries of Modular-integrated Construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy. Energy and Buildings, 296, 113417. https://doi.org/10.1016/j.enbuild.2023.113417

Address

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Faculty of Architecture,

The University of Hong Kong,

Pokfulam, HKSAR.

Email Us

wilsonlu@hku.hk (Prof. Wilson Lu)

xuef@hku.hk (Dr. Frank Xue)

chenjj10@hku.hk (Dr. Junjie CHEN)

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