Qinglong Meng 
- (2024): Direct load control-based optimal scheduling strategy for demand response of air-conditioning systems in rural building complex. In: Building and Environment, v. 258 (June 2024).
- (2023): Evaluation of heating capacity of shallow ground heat exchangers in different Locations– A case study of two administrative districts of Xi'an. In: Energy and Buildings, v. 294 (September 2023).
- (2023): Dynamic room temperature setpoints of air-conditioning demand response based on heat balance equations with thermal comfort model as constraint: On-site experiment and simulation. In: Journal of Building Engineering, v. 65 (April 2023).
- (2022): Reinforcement learning of room temperature set-point of thermal storage air-conditioning system with demand response. In: Energy and Buildings, v. 259 (March 2022).
- (2022): Thermal Energy Storage Air-conditioning Demand Response Control Using Elman Neural Network Prediction Model. In: Sustainable Cities and Society, v. 76 (January 2022).
- (2021): Study on influencing factors for occupant window-opening behavior: Case study of an office building in Xi'an during the transition season. In: Building and Environment, v. 200 (August 2021).
- (2021): Evaluating multiple parameters dependency of base temperature for heating degree-days in building energy prediction. In: Building Simulation, v. 14, n. 4 (February 2021).
- (2020): Change-point multivariable quantile regression to explore effect of weather variables on building energy consumption and estimate base temperature range. In: Sustainable Cities and Society, v. 53 (February 2020).
- (2017): Degree-day based non-domestic building energy analytics and modelling should use building and type specific base temperatures. In: Energy and Buildings, v. 155 (November 2017).
- (2018): Reduced-scale experimental model and numerical investigations to buoyance-driven natural ventilation in a large space building. In: Building and Environment, v. 145 (November 2018).
Structurae cooperates with
