Xiaofang Shan
- (2024): Study on the Impact of Design Factors of Piloti Forms on the Thermal Environment in Residential Quarters. In: Buildings, v. 14, n. 5 (24 April 2024).
- (2024): Analysis of Influencing Factors on Solid Waste Generation of Public Buildings in Tropical Monsoon Climate Region. In: Buildings, v. 14, n. 2 (1 February 2024).
- (2024): The Evaluation National Green Building Index Based on a Survey of Personnel Satisfaction: The Case of Hubei Province, China. In: Buildings, v. 14, n. 4 (27 March 2024).
- (2023): Short-Term Forecasting of Daily Electricity of Different Campus Building Clusters Based on a Combined Forecasting Model. In: Buildings, v. 13, n. 11 (26 October 2023).
- (2023): Influence of Piloti Forms on Wind Comfort of Different Building Group Layouts by Large Eddy Simulation. In: Buildings, v. 13, n. 1 (13 January 2023).
- (2022): Study on indoor thermal comfort of different age groups in winter in a rural area of China’s hot-summer and cold-winter region. In: Science and Technology for the Built Environment, v. 28, n. 10 (August 2022).
- (2022): Influence of land cover change on spatio-temporal distribution of urban heat island —a case in Wuhan main urban area. In: Sustainable Cities and Society, v. 79 (April 2022).
- (2022): An integrated data mining-based approach to identify key building and urban features of different energy usage levels. In: Sustainable Cities and Society, v. 77 (February 2022).
- (2020): Coupling CFD and building energy modelling to optimize the operation of a large open office space for occupant comfort. In: Sustainable Cities and Society, v. 60 (September 2020).
- (2019): Evaluation of thermal environment by coupling CFD analysis and wireless-sensor measurements of a full-scale room with cooling system. In: Sustainable Cities and Society, v. 45 (February 2019).
- (2021): An integrated approach to evaluate thermal comfort in air-conditioned large-space office. In: Science and Technology for the Built Environment, v. 27, n. 4 (January 2021).
- (2019): Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering. In: Building and Environment, v. 162 (September 2019).
Structurae cooperates with
