Mingyang Qian
- Advanced analysis of operating parameters utilizing big data to improve building cooling equipment energy efficiency standards. In: Sustainable Cities and Society, v. 109 (August 2024). (2024):
- Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling. In: Journal of Building Engineering, v. 70 (July 2023). (2023):
- Novel approach to typical air-conditioning behavior pattern extraction based on large-scale VRF system online monitoring data. In: Journal of Building Engineering, v. 69 (June 2023). (2023):
- Investigation of VRF system cooling operation and performance in residential buildings based on large-scale dataset. In: Journal of Building Engineering, v. 61 (December 2022). (2022):
- Power consumption and energy efficiency of VRF system based on large scale monitoring virtual sensors. In: Building Simulation, v. 13, n. 5 (September 2020). (2020):
- Evaluation of thermal imbalance of ground source heat pump systems in residential buildings in China. In: Building Simulation, v. 13, n. 3 (April 2020). (2020):
- Analysis of district cooling system with chilled water thermal storage in hot summer and cold winter area of China. In: Building Simulation, v. 13, n. 2 (February 2020). (2020):
- Operation and performance of VRF systems: Mining a large-scale dataset. In: Energy and Buildings, v. 230 (January 2021). (2021):
- Using bottom-up model to analyze cooling energy consumption in China's urban residential building. In: Energy and Buildings, v. 202 (November 2019). (2019):
- Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys. In: Energy and Buildings, v. 193 (June 2019). (2019):