| Occupant behavior modeling for building performance simulation: current state and future challenges D YAN, L O’BRIEN, T Hong, X Feng, B GUNAY, F TAHMASEBI, ... Energy and Buildings, 2015 | 1082 | 2015 |
| Advances in Research and Applications of Energy-Related Occupant Behavior in Buildings T Hong, S Taylor-Lange, S D'Oca, D Yan, S Corgnati Energy and Buildings, Engineering Advances, 2016 | 643 | 2016 |
| Ten questions concerning occupant behavior in buildings: The big picture T Hong, D Yan, S D'Oca, C Chen Building and Environment, 2017 | 638 | 2017 |
| Quantifying the impacts of climate change and extreme climate events on energy systems ATD Perera, VM Nik, D Chen, JL Scartezzini, T Hong Nature Energy, 2020 | 589 | 2020 |
| Building simulation: an overview of developments and information sources T Hong, SK Chou, TY Bong Building and Environment 35 (4), 347-361, 2000 | 542 | 2000 |
| IEA EBC Annex 53: Total Energy Use in Buildings – Analysis and Evaluation Methods H Yoshino, T Hong, N Nord Energy and Buildings, 2017 | 511 | 2017 |
| Reinforcement Learning for Building Controls: The opportunities and challenges Z Wang, T Hong Applied Energy, 2020 | 501 | 2020 |
| IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings D Yan, T Hong, B Dong, A Mahdavi, S D’Oca, I Gaetani, X Feng Energy and Buildings 156, 258-270, 2017 | 494 | 2017 |
| Ten questions on urban building energy modeling T Hong, Y Chen, X Luo, N Luo, SH Lee Building and Environment, 2020 | 491 | 2020 |
| The Human Dimensions of Energy Use in Buildings: A Review S D'Oca, T Hong, J Langevin Renewable and Sustainable Energy Reviews, 2017 | 454 | 2017 |
| An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs Framework T Hong, S D'Oca, W Turner, S Taylor-Lange Building and Environment, 2015 | 434 | 2015 |
| Automatic Generation and Simulation of Urban Building Energy Models Based on City Datasets for City-Scale Building Retrofit Analysis Y Chen, T Hong, MA Piette Applied Energy, 2017 | 426 | 2017 |
| Building thermal load prediction through shallow machine learning and deep learning Z Wang, T Hong, MA Piette Applied Energy, 2020 | 398 | 2020 |
| Occupancy schedules learning process through a data mining framework S D'Oca, T Hong Energy and Buildings, 2015 | 379 | 2015 |
| Occupant Behavior: Impact on Energy Use of Private Offices T Hong, HW Lin ASim 2012, 8, 2012 | 334 | 2012 |
| State-of-the-Art on Research and Applications of Machine Learning in the Building Life Cycle T Hong, Z Wang, X Luo, W Zhang Energy and Buildings, 2020 | 325 | 2020 |
| A data-mining approach to discover patterns of window opening and closing behavior in offices S D'Oca, T Hong Building and Environment, 2014 | 325 | 2014 |
| Energy Flexibility of Residential Buildings: A Systematic Review of Characterization and Quantification Methods and Applications H Li, Z Wang, T Hong, MA Piette Advances in Applied Energy, 2021 | 312 | 2021 |
| Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings S D'Oca, C Chen, T Hong, Z Belafi Energy Research and Social Science, 2017 | 312* | 2017 |
| Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches M Ferrando, F Causone, T Hong, Y Chen Sustainable Cities and Society, 2020 | 311 | 2020 |
Da YanProfessor, School of Architecture, Tsinghua Universitytsinghua.edu.cn의 이메일 확인됨
