| Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin, Y Yang, X Jia, X Wang, ... Advances in Applied Energy 10, 100135, 2023 | 158 | 2023 |
| Review on building energy model calibration by Bayesian inference D Hou, IG Hassan, L Wang Renewable and Sustainable Energy Reviews 143, 110930, 2021 | 107 | 2021 |
| Bayesian Calibration of Using CO2 Sensors to Assess Ventilation Conditions and Associated COVID-19 Airborne Aerosol Transmission Risk in Schools D Hou, A Katal, L Wang MedRxiv, 2021.01. 29.21250791, 2021 | 31 | 2021 |
| Developing machine-learning meta-models for high-rise residential district cooling in hot and humid climate B Jia, D Hou, A Kamal, IG Hassan, L Wang Journal of Building Performance Simulation 15 (4), 553-573, 2022 | 19 | 2022 |
| Development of a Bayesian inference model for assessing ventilation condition based on CO2 meters in primary schools D Hou, L Wang, A Katal, S Yan, L Zhou, V Wang, M Vuotari, E Li, Z Xie Building simulation 16 (1), 133-149, 2023 | 10 | 2023 |
| Detailed profiling of high-rise building energy consumption in extremely hot and humid climate A Kamal, ST Kadam, D Hou, IG Hassan, LL Wang, N Sezer, MA Rahman Cleaner Energy Systems 4, 100060, 2023 | 9 | 2023 |
| Dynamic forecast of cooling load and energy saving potential based on Ensemble Kalman Filter for an institutional high-rise building with hybrid ventilation D Hou, CC Lin, A Katal, L Wang Building Simulation 13, 1259-1268, 2020 | 9 | 2020 |
| A protocol for developing and evaluating neural network-based surrogate models and its application to building energy prediction D Hou, R Evins Renewable and Sustainable Energy Reviews 193, 114283, 2024 | 8 | 2024 |
| Comparative energy performance evaluation and uncertainty analysis of two building archetype development methodologies: A case study of high-rise residential buildings in Qatar M Moujahed, N Sezer, D Hou, LL Wang, I Hassan Energy and Buildings 276, 112535, 2022 | 6 | 2022 |
| Integrating urban heat island impact into building energy assessment in a hot-arid city D Zhan, N Sezer, D Hou, L Wang, IG Hassan Buildings 13 (7), 1818, 2023 | 5 | 2023 |
| Predicting indoor air temperatures by calibrating building thermal model with coupled airflow networks L Ji, C Shu, D Hou, A Laouadi, L Wang, M Lacasse CLIMA 2022 conference, 2022 | 5 | 2022 |
| Influencing Factors on Cooling Demand of High-Rise Buildings in Hot/Humid Climates: A Review B ANAYA, D HOU, I HASSAN, LL WANG, A RAHMAN WIT Transactions on Ecology and the Environment 253, 423-433, 2021 | 5 | 2021 |
| K-PCD: A new clustering algorithm for building energy consumption time series analysis and predicting model accuracy improvement H Yang, M Ran, H Feng, D Hou Applied Energy 377, 124584, 2025 | 2 | 2025 |
| Implementing Bayesian inference on a stochastic CO2-based grey-box model for assessing indoor air quality in Canadian primary schools S Yan, J Zou, C Shu, J Berquist, V Brochu, M Veillette, D Hou, C Duchaine arXiv preprint arXiv:2405.00582, 2024 | 1 | 2024 |
| Bayesian Inference Calibration of Building Energy Models for Arid Weather D Hou, I Hassan, LL Wang ASME V&V 2021Virtual Symposium, 2021 | 1 | 2021 |
| Bayesian Calibrating Educational Building Thermal Models to Hourly Indoor Air Temperature: Methodology and Case Study D Hou, C Shu, L Ji, I Hassan, LL Wang ASME V&V 2021Virtual Symposium, 2021 | 1 | 2021 |
| Advances in Applied Energy Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin, Y Yang, X Jia, X Wang, ... | 1 | 2021 |
| Implementing Bayesian inference on a stochastic CO2-based grey-box model S Yan, J Zou, C Shu, J Berquist, V Brochu, M Veillette, D Hou, C Duchaine, ... Indoor Environments, 100079, 2025 | | 2025 |
| Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration D Hou, D Zhan, L Wang, IG Hassan, N Sezer Discover Mechanical Engineering 2 (1), 19, 2023 | | 2023 |
| Impact of Influential Factors on Gray-Box Model Performance for Identification of Building Thermal Properties: Numerical and Analytical Analyses D Hou, K Cant, Q Qin, H Awad, F Bahiraei, R Evins Building Simulation 2023 1 (Z1F1), Z5F0, 2023 | | 2023 |
Liangzhu (Leon) WangProfessor, Building, Civil and Environmental Engineering, Concordia University, MontrealAdresă de e-mail confirmată pe concordia.ca