Segui
Tianzhen Hong
Titolo
Citata da
Citata da
Anno
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
10812015
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
6432016
Ten questions concerning occupant behavior in buildings: The big picture
T Hong, D Yan, S D'Oca, C Chen
Building and Environment, 2017
6372017
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
5892020
Building simulation: an overview of developments and information sources
T Hong, SK Chou, TY Bong
Building and Environment 35 (4), 347-361, 2000
5422000
IEA EBC Annex 53: Total Energy Use in Buildings – Analysis and Evaluation Methods
H Yoshino, T Hong, N Nord
Energy and Buildings, 2017
5102017
Reinforcement Learning for Building Controls: The opportunities and challenges
Z Wang, T Hong
Applied Energy, 2020
4992020
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
4932017
Ten questions on urban building energy modeling
T Hong, Y Chen, X Luo, N Luo, SH Lee
Building and Environment, 2020
4882020
The Human Dimensions of Energy Use in Buildings: A Review
S D'Oca, T Hong, J Langevin
Renewable and Sustainable Energy Reviews, 2017
4532017
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
4322015
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
4262017
Building thermal load prediction through shallow machine learning and deep learning
Z Wang, T Hong, MA Piette
Applied Energy, 2020
3972020
Occupancy schedules learning process through a data mining framework
S D'Oca, T Hong
Energy and Buildings, 2015
3792015
Occupant Behavior: Impact on Energy Use of Private Offices
T Hong, HW Lin
ASim 2012, 8, 2012
3342012
A data-mining approach to discover patterns of window opening and closing behavior in offices
S D'Oca, T Hong
Building and Environment, 2014
3252014
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
3212020
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
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
3102021
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
3092020
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