Yongkai Sun
- Impact of interactive evolution of heterogeneous occupants'' air-conditioning usage behavior on air-conditioning energy consumption in university office buildings. Dans: Energy and Buildings, v. 331 (mars 2025). (2025):
- The green and low-carbon development pathways in the urban and rural building sector in Shaanxi Province, China. Dans: Energy and Buildings, v. 306 (mars 2024). (2024):
- Impact of air-conditioning usage behavior of student groups on air-conditioning load simulation in university dormitories. Dans: Energy and Buildings, v. 303 (janvier 2024). (2024):
- Analysis of the influence of the stay-at-home order on the electricity consumption in Chinese university dormitory buildings during the COVID-19 pandemic. Dans: Energy and Buildings, v. 277 (décembre 2022). (2022):
- Timetabling optimization of classrooms and self-study rooms in university teaching buildings based on the building controls virtual test bed platform considering energy efficiency. Dans: Building Simulation, v. 16, n. 2 (septembre 2022). (2022):
- Analysis of flexible energy use behavior of rural residents based on two-stage questionnaire: A case study in Xi’an, China. Dans: Energy and Buildings, v. 269 (août 2022). (2022):
- Course timetable optimization for a university teaching building considering the building energy efficiency and time-varying thermal perception of students. Dans: Building and Environment, v. 219 (juillet 2022). (2022):
- (2021): Analyzing the Time-Varying Thermal Perception of Students in Classrooms and Its Influencing Factors from a Case Study in Xi’an, China. Dans: Buildings, v. 12, n. 1 (21 décembre 2021).
- Impacts of multiple factors on energy consumption of aging residential buildings based on a system dynamics model--Taking Northwest China as an example. Dans: Journal of Building Engineering, v. 44 (décembre 2021). (2021):
- Impact of natural and social environmental factors on building energy consumption: Based on bibliometrics. Dans: Journal of Building Engineering, v. 37 (mai 2021). (2021):
- Optimization of a university timetable considering building energy efficiency: An approach based on the building controls virtual test bed platform using a genetic algorithm. Dans: Journal of Building Engineering, v. 35 (mars 2021). (2021):