[1]    Shakya, P., Sreenivasan, S., Krishnamoorthy, B., Yang, S., Wan, M. P. (2025). Machine learning-based model predictive control for multizone building automation: A case study. International Journal of AI for Materials and Design, 8161.
[2]    Yang, S., Gao, H. O., You, F. (2024). Demand Flexibility and Cost-Saving Potentials via Smart Building Energy Management: Opportunities in Residential Space Heating Across the US. Advances in Applied Energy,100171. 
[3]    Yang, S., Chen, W., Wan, M. P. (2023). A machine-learning-based event-triggered model predictive control for building energy management. Building and Environment, 233, 110101. 
[4]    Yang, S., Gao, H. O., You, F. (2023). Integrated Optimization in Operations Control and Systems Design for Carbon Emission Reduction in Building Electrification with Distributed Energy Resources. Advances in Applied Energy, 100144. 
[5]    Yang, S., Gao, H. O., You, F. (2023). Building Electrification and Carbon Emissions: Integrated energy management under dynamic electricity mix and pricing. Advances in Applied Energy, 10, 100141. 
[6]    Sartori I., Walnum H. T., Skeie K. S., Georges L., Knudsen M. D., Bacher P., Candanedo J., Sigounis A. M., Prakash A. K., Pritoni M., Granderson J., Yang S., Wan, M. P. (2023). Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate. Data in Brief, 48, 109149. 
[7]    Yang, S., Gao, H. O., You, F. (2022). Model Predictive Control for Demand- and Market-Responsive Building Energy Management by Leveraging Active Latent Heat Storage. Applied Energy, 327, 120054.  
[8]    Yang, S., Gao, H. O., You, F. (2022). Model Predictive Control in Phase-Change-Material-Wallboard-Enhanced Building Energy Management Considering Electricity Price Dynamics. Applied Energy, 326, 120023. 
[9]    Yang, S., Wan, M. P. (2022). Machine-learning-based model predictive control with instantaneous linearization–A case study on an air-conditioning and mechanical ventilation system. Applied Energy, 306, 118041. 
[10]    Yang, S., Wan, M. P., Ng, B. F., Dubey, S., Henze, G. P., Chen, W., Baskaran, K. (2021). Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems. Applied Energy, 297, 117112. 
[11]    Yang, S., Wan, M. P., Chen, W., Ng, B. F., Dubey, S. (2021). Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control. Applied Energy, 288, 116648. 
[12]    Yang, S., Wan, M. P., Chen, W., Ng, B. F., Dubey, S. (2020). Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization. Applied Energy, 271, 115147. 
[13]    Yang, S., Wan, M. P., Ng, B. F., Dubey, S., Henze, G. P., Chen, W., Baskaran, K. (2020). Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system. Applied Energy, 257, 113920. 
[14]    Yang, S., Wan, M. P., Ng, B. F., Dubey, S., Henze, G. P., Rai, S. K., Baskaran, K. (2019). Experimental Study of a Model Predictive Control System for Active Chilled Beam (ACB) Air-conditioning System. Energy and Buildings, 109451. 
[15]    Yang, S., Wan, M. P., Chen, W., Ng, B. F., Zhai, D. (2019). An adaptive robust model predictive control for indoor climate optimization and uncertainties handling in buildings. Building and Environment, 163, 106326. 
[16]    Yang, S., Wan, M. P., Ng, B. F., Zhang, T., Babu, S., Zhang, Z., Chen, W., Dubey, S. (2018). A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings. Energy and Buildings, 170, 25-39. 
[17]    Ding, L., Chang, S., Yang, S., Leng, M. (2018). Study on heating strategies of nose cone electrothermal anti-icing. Journal of Aircraft, 55(3), 1311-1316.