Xuyuan Kang 
- (2023): Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings. In: Energy and Buildings, v. 301 (Dezember 2023).
- (2024): A novel physical-feature-based approach for stochastic simulation of typical building electricity use profiles. In: Energy and Buildings, v. 302 (Januar 2024).
- (2023): Acceleration of state–space method based on parallelization for enhancing building thermal process simulation efficiency. In: Energy and Buildings, v. 299 (November 2023).
- (2023): A systematic review of building electricity use profile models. In: Energy and Buildings, v. 281 (Februar 2023).
- (2022): A novel approach for occupants' horizontal and vertical movement modeling in non-residential buildings using Immersive Virtual Environment (IVE). In: Sustainable Cities and Society, v. 87 (Dezember 2022).
- (2022): A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings. In: Energy and Buildings, v. 275 (November 2022).
- (2022): A novel stochastic model for hourly electricity load profile analysis of rural districts in Fujian, China. In: Science and Technology for the Built Environment, v. 28, n. 9 (August 2022).
- (2022): A guideline to document occupant behavior models for advanced building controls. In: Building and Environment, v. 219 (Juli 2022).
- (2022): DeST 3.0: A new-generation building performance simulation platform. In: Building Simulation, v. 15, n. 11 (Juni 2022).
- (2022): Co-Simulation of Dynamic Underground Heat Transfer with Building Energy Modeling based on Equivalent Slab Method. In: Energy and Buildings, v. 256 (Februar 2022).
- (2021): Typical weekly occupancy profiles in non-residential buildings based on mobile positioning data. In: Energy and Buildings, v. 250 (November 2021).
- (2020): Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Clustering-based probability distribution model for monthly residential building electricity consumption analysis. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey. In: Building and Environment, v. 183 (Oktober 2020).
Structurae kooperiert mit
