Tianzhen Hong 
- (2024): An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems. Dans: Building Simulation, v. 17, n. 5 (janvier 2024).
- (2023): Evaluating energy retrofits of historic buildings in a university campus using an urban building energy model that considers uncertainties. Dans: Sustainable Cities and Society, v. 95 (août 2023).
- (2022): Extending the Brick schema to represent metadata of occupants. Dans: Automation in Construction, v. 139 (juillet 2022).
- (2022): Developing occupant archetypes within urban low-income housing: A case study in Mumbai, India. Dans: Building Simulation, v. 15, n. 9 (février 2022).
- (2021): Generating synthetic occupants for use in building performance simulation. Dans: Journal of Building Performance Simulation, v. 14, n. 6 (2 novembre 2021).
- (2021): Exploring thermal state in mixed immersive virtual environments. Dans: Journal of Building Engineering, v. 44 (décembre 2021).
- (2021): Intersecting heuristic adaptative strategies, building design and energy saving intentions when facing discomfort environment: A cross-country analysis. Dans: Building and Environment, v. 204 (octobre 2021).
- (2013): A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E. Dans: Building Simulation, v. 6, n. 3 (avril 2013).
- (2020): Generation and representation of synthetic smart meter data. Dans: Building Simulation, v. 13, n. 6 (août 2020).
- (2020): Evaluation of thermal imbalance of ground source heat pump systems in residential buildings in China. Dans: Building Simulation, v. 13, n. 3 (avril 2020).
- (2020): Generating realistic building electrical load profiles through the Generative Adversarial Network (GAN). Dans: Energy and Buildings, v. 224 (octobre 2020).
- (2016): Development and validation of a new variable refrigerant flow system model in EnergyPlus. Dans: Energy and Buildings, v. 117 (avril 2016).
- (2017): The impact of evaporation from porous tile on roof thermal performance: A case study of Guangzhou’s climatic conditions. Dans: Energy and Buildings, v. 136 (février 2017).
- (2017): A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures. Dans: Energy and Buildings, v. 146 (juillet 2017).
- (2017): IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods. Dans: Energy and Buildings, v. 152 (octobre 2017).
- (2017): IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings. Dans: Energy and Buildings, v. 156 (décembre 2017).
- (2018): IEA EBC annexes advance technologies and strategies to reduce energy use and GHG emissions in buildings and communities. Dans: Energy and Buildings, v. 158 (janvier 2018).
- (2020): An improved method for direct incident solar radiation calculation from hourly solar insolation data in building energy simulation. Dans: Energy and Buildings, v. 227 (novembre 2020).
- (2019): Incorporating machine learning with building network analysis to predict multi-building energy use. Dans: Energy and Buildings, v. 186 (mars 2019).
- (2019): Development of city buildings dataset for urban building energy modeling. Dans: Energy and Buildings, v. 183 (janvier 2019).
- (2020): The impacts of building characteristics, social psychological and cultural factors on indoor environment quality productivity belief. Dans: Building and Environment, v. 185 (novembre 2020).
- (2020): Identifying key determinants for building energy analysis from urban building datasets. Dans: Building and Environment, v. 181 (août 2020).
- (2020): Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. Dans: Building and Environment, v. 178 (juillet 2020).
- (2020): An international review of occupant-related aspects of building energy codes and standards. Dans: Building and Environment, v. 179 (juillet 2020).
- (2020): Dimension analysis of subjective thermal comfort metrics based on ASHRAE Global Thermal Comfort Database using machine learning. Dans: Journal of Building Engineering, v. 29 (mai 2020).
- (2019): Inferring occupant counts from Wi-Fi data in buildings through machine learning. Dans: Building and Environment, v. 158 (juillet 2019).
- (2019): Integrating physics-based models with sensor data: An inverse modeling approach. Dans: Building and Environment, v. 154 (mai 2019).
- (2018): Human-building interaction at work: Findings from an interdisciplinary cross-country survey in Italy. Dans: Building and Environment, v. 132 (mars 2018).
- (1999): A design day for building load and energy estimation. Dans: Building and Environment, v. 34, n. 4 (juillet 1999).
- (1997): IISABRE: An integrated building simulation environment. Dans: Building and Environment, v. 32, n. 3 (mai 1997).
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