Tianzhen Hong 
- (2025): A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration. Dans: Buildings, v. 15, n. 2 (15 janvier 2025).
- (2024): A Lifelong Meta-Learning Approach for Learning Deep Grey-box Representative Thermal Dynamics Models for Residential Buildings. Dans: Energy and Buildings, v. 318 (septembre 2024).
- (2023): On data-driven energy flexibility quantification: A framework and case study. Dans: Energy and Buildings, v. 296 (octobre 2023).
- (2023): On the applicability of various levels of detail for occupant behavior representation and modeling in building performance simulation. Dans: Building Simulation, v. 16, n. 8 (juin 2023).
- (2023): Nexus of electrification and energy efficiency retrofit of commercial buildings at the district scale. Dans: Sustainable Cities and Society, v. 95 (août 2023).
- (2022): A level-of-details framework for representing occupant behavior in agent-based models. Dans: Automation in Construction, v. 139 (juillet 2022).
- (2022): Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves. Dans: Building and Environment, v. 210 (février 2022).
- (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).
- (2021): An ontology to represent synthetic building occupant characteristics and behavior. Dans: Automation in Construction, v. 125 (mai 2021).
- (2021): Occupant-Centric key performance indicators to inform building design and operations. Dans: Journal of Building Performance Simulation, v. 14, n. 6 (2 novembre 2021).
- (2021): Italian prototype building models for urban scale building performance simulation. Dans: Building and Environment, v. 192 (avril 2021).
- (2017): Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs. Dans: Building Simulation, v. 11, n. 1 (juillet 2017).
- (2015): Occupancy schedules learning process through a data mining framework. Dans: Energy and Buildings, v. 88 (février 2015).
- (2015): Occupant behavior modeling for building performance simulation: Current state and future challenges. Dans: Energy and Buildings, v. 107 (novembre 2015).
- (2016): An occupant behavior modeling tool for co-simulation. Dans: Energy and Buildings, v. 117 (avril 2016).
- (2018): A novel Variable Refrigerant Flow (VRF) heat recovery system model: Development and validation. Dans: Energy and Buildings, v. 168 (juin 2018).
- (2021): Operation and performance of VRF systems: Mining a large-scale dataset. Dans: Energy and Buildings, v. 230 (janvier 2021).
- (2019): An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data. Dans: Energy and Buildings, v. 198 (septembre 2019).
- (2020): Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey. Dans: Building and Environment, v. 183 (octobre 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): Nexus of thermal resilience and energy efficiency in buildings: A case study of a nursing home. Dans: Building and Environment, v. 177 (juin 2020).
- (2020): Linking human-building interactions in shared offices with personality traits. Dans: Building and Environment, v. 170 (mars 2020).
- (2018): Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology. Dans: Building and Environment, v. 138 (juin 2018).
- (2018): Modeling occupancy distribution in large spaces with multi-feature classification algorithm. Dans: Building and Environment, v. 137 (juin 2018).
- (2016): Occupancy data analytics and prediction: A case study. Dans: Building and Environment, v. 102 (juin 2016).
- (2015): An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema. Dans: Building and Environment, v. 94 (décembre 2015).
- (2015): An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. Dans: Building and Environment, v. 92 (octobre 2015).
- (1997): A new multizone model for the simulation of building thermal performance. Dans: Building and Environment, v. 32, n. 2 (mars 1997).
- (2019): Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations. Dans: Journal of Computing in Civil Engineering, v. 33, n. 6 (novembre 2019).
- (2018): Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings. Dans: Automation in Construction, v. 94 (octobre 2018).
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