Hongzhong Chen
- Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study. In: Building and Environment, v. 206 (December 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 (June 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 (February 2021). (2021):
- A preference-based multi-objective building performance optimization method for early design stage. In: Building Simulation, v. 14, n. 3 (July 2020). (2020):
- 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 (July 2019). (2019):
- Fast bidirectional building performance optimization at the early design stage. In: Building Simulation, v. 11, n. 4 (April 2018). (2018):
- A graph- and feature-based building space recognition algorithm for performance simulation in the early design stage. In: Building Simulation, v. 11, n. 2 (October 2017). (2017):
- Indoor environmental quality of green office buildings in China: Large-scale and long-term measurement. In: Building and Environment, v. 150 (March 2019). (2019):