Hongzhong Chen
- (2021): Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study. In: Building and Environment, v. 206 (Dezember 2021).
- (2021): MOOSAS – A systematic solution for multiple objective building performance optimization in the early design stage. In: Building and Environment, v. 200 (August 2021).
- (2021): Effectiveness of one-click feedback of building energy efficiency in supporting early-stage architecture design: An experimental study. In: Building and Environment, v. 196 (Juni 2021).
- (2021): An efficient method of evaluating large scale urban residential skylight environment and an empirical study of Beijing main area. In: Building Simulation, v. 14, n. 4 (Februar 2021).
- (2020): A preference-based multi-objective building performance optimization method for early design stage. In: Building Simulation, v. 14, n. 3 (Juli 2020).
- (2019): An ANN-based fast building energy consumption prediction method for complex architectural form at the early design stage. In: Building Simulation, v. 12, n. 4 (Juli 2019).
- (2018): Fast bidirectional building performance optimization at the early design stage. In: Building Simulation, v. 11, n. 4 (April 2018).
- (2017): A graph- and feature-based building space recognition algorithm for performance simulation in the early design stage. In: Building Simulation, v. 11, n. 2 (Oktober 2017).
- (2019): Indoor environmental quality of green office buildings in China: Large-scale and long-term measurement. In: Building and Environment, v. 150 (März 2019).
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