Sun, J., Liu, W., Long, Z., Zhang, H., and Pan, W. Modeling transient particle transport in transient indoor airflow by fast fluid dynamics with the Markov chain method. Liu, W., van Hooff, T., An, Y., Hu, S., and Chen, C. Applications of local climate zone (LCZ) classification scheme to improve urban sustainability. Xue, J., You, R., Liu, W., Chen, C., and Lai, D. Lei, L., Chen, W., Wu, B., Chen, C., and Liu, W.* A building energy consumption prediction model based on rough set theory and deep learning algorithms. International Journal of Environmental Research and Public Health, 2021, 18(11), 6139. Influence of thermal environment on attendance and adaptive behaviors in outdoor spaces: a study in a cold-climate university campus.
![ishvac 2011 liu trnsys ishvac 2011 liu trnsys](https://www.researchgate.net/publication/283944211/figure/fig3/AS:667719804391430@1536208215375/Simulation-system-picture-T-able-1-T-he-main-components-of-the-TRNSYS-simulation_Q320.jpg)
Li, S., Yang, J., and Liu, W.* Estimation of aerator air demand by an embedded multi-gene genetic programming. and Liu, W.* Deep learning to replace, improve, or aid CFD analysis in built environment applications: a review. Performance of fast fluid dynamics with a semi-Lagrangian scheme and an implicit upwind scheme in simulating indoor/outdoor airflow. Liu, W.*, Sun, H., Lai, D., Xue, Y., Kabanshi, A., and Hu, S. Comparing calculation methods of state transfer matrix in Markov chain models for indoor contaminant transport.
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Hu, M., Liu, W., Xue, K., Liu, L., Liu, H., and Liu, M. Accepted by Building Simulation, 2021.ĥ0. Evaluation and comparison of various fast fluid dynamics modeling methods for predicting airflow around buildings.
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51, Zheng, S., Zhai, Z., Wang, Y., Xue, Y., Duanmu, L., and Liu, W.