Chenyu Huang 
- (2024): Chinese Household Carbon Footprint: Structural Differences, Influencing Factors, and Emission Reduction Strategies Analysis. In: Buildings, v. 14, n. 11 (22 October 2024).
- (2024): Data-driven prediction of natural period for existing RC high-rise buildings using probabilistic machine learning methods. In: Journal of Building Engineering, v. 90 (August 2024).
- (2024): Enhancing rooftop solar energy potential evaluation in high-density cities: A Deep Learning and GIS based approach. In: Energy and Buildings, v. 309 (April 2024).
- (2023): Calibrating thermal sensation vote scales for different short_term thermal histories using ensemble learning. In: Building and Environment, v. 246 (December 2023).
- (2024): Collaborative optimization design for district distributed energy system based on energy station and pipeline network interactions. In: Sustainable Cities and Society, v. 100 (January 2024).
- (2023): Towards inclusive underground public transportation: Gender differences on thermal comfort. In: Building and Environment, v. 242 (August 2023).
- (2023): Exploring spatial and environmental heterogeneity affecting energy consumption in commercial buildings using machine learning. In: Sustainable Cities and Society, v. 95 (August 2023).
- (2022): Estimating the outdoor environment of workers’ villages in East China using machine learning. In: Building and Environment, v. 226 (December 2022).
- (2022): Accelerated environmental performance-driven design of the parametric urban block with generative adversarial network. In: Building and Environment, v. 224 (October 2022).
- (2022): Effect of urban morphology on air pollution distribution in high-density urban blocks based on mobile monitoring and machine learning. In: Building and Environment, v. 219 (July 2022).
Structurae cooperates with
