Tianzhen Hong 
- (2024): Overview of occupant-centric KPIs for building performance and their value to various building stakeholders. In: Energy and Buildings, v. 322 (November 2024).
- (2024): A Lifelong Meta-Learning Approach for Learning Deep Grey-box Representative Thermal Dynamics Models for Residential Buildings. In: Energy and Buildings, v. 318 (September 2024).
- (2023): On data-driven energy flexibility quantification: A framework and case study. In: Energy and Buildings, v. 296 (Oktober 2023).
- (2023): On the applicability of various levels of detail for occupant behavior representation and modeling in building performance simulation. In: Building Simulation, v. 16, n. 8 (Juni 2023).
- (2023): Nexus of electrification and energy efficiency retrofit of commercial buildings at the district scale. In: Sustainable Cities and Society, v. 95 (August 2023).
- (2022): A level-of-details framework for representing occupant behavior in agent-based models. In: Automation in Construction, v. 139 (Juli 2022).
- (2022): Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves. In: Building and Environment, v. 210 (Februar 2022).
- (2021): Passive cooling designs to improve heat resilience of homes in underserved and vulnerable communities. In: Energy and Buildings, v. 252 (Dezember 2021).
- (2021): An ontology to represent synthetic building occupant characteristics and behavior. In: Automation in Construction, v. 125 (Mai 2021).
- (2021): Occupant-Centric key performance indicators to inform building design and operations. In: Journal of Building Performance Simulation, v. 14, n. 6 (2 November 2021).
- (2021): Italian prototype building models for urban scale building performance simulation. In: Building and Environment, v. 192 (April 2021).
- (2017): Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs. In: Building Simulation, v. 11, n. 1 (Juli 2017).
- (1998): Outdoor synthetic temperature for the calculation of space heating load. In: Energy and Buildings, v. 28, n. 3 (November 1998).
- (2015): Occupancy schedules learning process through a data mining framework. In: Energy and Buildings, v. 88 (Februar 2015).
- (2015): Occupant behavior modeling for building performance simulation: Current state and future challenges. In: Energy and Buildings, v. 107 (November 2015).
- (2016): An occupant behavior modeling tool for co-simulation. In: Energy and Buildings, v. 117 (April 2016).
- (2018): A novel Variable Refrigerant Flow (VRF) heat recovery system model: Development and validation. In: Energy and Buildings, v. 168 (Juni 2018).
- (2021): Operation and performance of VRF systems: Mining a large-scale dataset. In: Energy and Buildings, v. 230 (Januar 2021).
- (2019): An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data. In: Energy and Buildings, v. 198 (September 2019).
- (2020): Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey. In: Building and Environment, v. 183 (Oktober 2020).
- (2020): Nexus of thermal resilience and energy efficiency in buildings: A case study of a nursing home. In: Building and Environment, v. 177 (Juni 2020).
- (2020): Linking human-building interactions in shared offices with personality traits. In: Building and Environment, v. 170 (März 2020).
- (2018): Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology. In: Building and Environment, v. 138 (Juni 2018).
- (2018): Modeling occupancy distribution in large spaces with multi-feature classification algorithm. In: Building and Environment, v. 137 (Juni 2018).
- (2016): Occupancy data analytics and prediction: A case study. In: Building and Environment, v. 102 (Juni 2016).
- (2015): An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema. In: Building and Environment, v. 94 (Dezember 2015).
- (2015): An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. In: Building and Environment, v. 92 (Oktober 2015).
- (1997): A new multizone model for the simulation of building thermal performance. In: Building and Environment, v. 32, n. 2 (März 1997).
- (2019): Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations. In: Journal of Computing in Civil Engineering, v. 33, n. 6 (November 2019).
- (2018): Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings. In: Automation in Construction, v. 94 (Oktober 2018).
Structurae kooperiert mit
