Da Yan 
- (2024): 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).
- (2023): Analysis of Cooling Load Characteristics in Chinese Residential Districts for HVAC System Design. In: Buildings, v. 13, n. 10 (10 October 2023).
- (2023): Acceleration of state–space method based on parallelization for enhancing building thermal process simulation efficiency. In: Energy and Buildings, v. 299 (November 2023).
- (2023): Assessment of electricity consumption reduction potential for city-scale buildings under different demand response strategies. In: Energy and Buildings, v. 297 (October 2023).
- (2023): Chinese prototype building models for simulating the energy performance of the nationwide building stock. In: Building Simulation, v. 16, n. 8 (June 2023).
- (2023): Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling. In: Journal of Building Engineering, v. 70 (July 2023).
- (2022): Building a greener future—Progress of the green building technology in the “13th Five-Year Plan” of China. In: Building Simulation, v. 15, n. 10 (6 July 2022).
- (2022): Challenges and opportunities for carbon neutrality in China’s building sector—Modelling and data. In: Building Simulation, v. 15, n. 11 (June 2022).
- (2017): Adapting LT-Method for Building Energy Prediction in China. In: Procedia Engineering, v. 205 ( 2017).
- (2022): Co-Simulation of Dynamic Underground Heat Transfer with Building Energy Modeling based on Equivalent Slab Method. In: Energy and Buildings, v. 256 (February 2022).
- (2021): Building occupancy forecasting: A systematical and critical review. In: Energy and Buildings, v. 251 (November 2021).
- (2021): Comparison of different machine learning algorithms for predicting air-conditioning operating behavior in open-plan offices. In: Energy and Buildings, v. 251 (November 2021).
- (2021): Agent Based Modelling of a Local Energy Market: A Study of the Economic Interactions between Autonomous PV Owners within a Micro-Grid. In: Buildings, v. 11, n. 4 (5 April 2021).
- (2018): Coupled cooling method and application of latent heat thermal energy storage combined with pre-cooling of envelope: Temperature control using phase-change chair. In: Sustainable Cities and Society, v. 42 (October 2018).
- (2013): Comparison of HVAC system modeling in EnergyPlus, DeST and DOE-2.1E. In: Building Simulation, v. 7, n. 1 (November 2013).
- (2017): Cluster analysis for occupant-behavior based electricity load patterns in buildings: A case study in Shanghai residences. In: Building Simulation, v. 10, n. 6 (October 2017).
- (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): Appliance use behavior modelling and evaluation in residential buildings: A case study of television energy use. In: Building Simulation, v. 13, n. 4 (June 2020).
- (2020): An action-based Markov chain modeling approach for predicting the window operating behavior in office spaces. In: Building Simulation, v. 14, n. 2 (December 2020).
- (2020): Clustering-based probability distribution model for monthly residential building electricity consumption analysis. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Advanced data analytics for building energy modeling and management. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2015): Data analysis and stochastic modeling of lighting energy use in large office buildings in China. In: Energy and Buildings, v. 86 (January 2015).
- (2015): Building energy use in China: Ceiling and scenario. In: Energy and Buildings, v. 102 (September 2015).
- (2016): Advances in research and applications of energy-related occupant behavior in buildings. In: Energy and Buildings, v. 116 (March 2016).
- (2018): Comparative study of air-conditioning energy use of four office buildings in China and USA. In: Energy and Buildings, v. 169 (June 2018).
- (2018): Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings. In: Energy and Buildings, v. 174 (September 2018).
- (2019): Building Blocks Energy Estimation (BBEE): A method for building energy estimation on district level. In: Energy and Buildings, v. 185 (February 2019).
- (2014): Air-conditioning usage conditional probability model for residential buildings. In: Building and Environment, v. 81 (November 2014).
- (2017): Comparative research on different air conditioning systems for residential buildings. In: Frontiers of Architectural Research, v. 6, n. 1 (March 2017).
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