Dian-ce Gao 
- (2023): Systematic analysis method of sensor and actuator faults propagation and impacts for optimally controlled complex building chilled water systems. In: Journal of Building Engineering, v. 76 (Oktober 2023).
- (2023): Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review. In: Journal of Building Engineering, v. 79 (November 2023).
- (2023): Computer-vision-assisted subzone-level demand-controlled ventilation with fast occupancy adaptation for large open spaces towards balanced IAQ and energy performance. In: Building and Environment, v. 239 (Juli 2023).
- (2022): Experimental Evaluation of the Effects of Passive Phase Change Material Walls on the Building Demand Response for Smart Grid Applications. In: Buildings, v. 12, n. 11 (27 Oktober 2022).
- (2016): Experimental study of dynamic characteristics of liquid desiccant dehumidification processes. In: Science and Technology for the Built Environment, v. 23, n. 1 (November 2016).
- (2016): A power limiting control strategy based on adaptive utility function for fast demand response of buildings in smart grids. In: Science and Technology for the Built Environment, v. 22, n. 6 (August 2016).
- (2016): A model-based adaptive method for evaluating the energy impact of low delta-T syndrome in complex HVAC systems using support vector regression. In: Building Services Engineering Research and Technology, v. 37, n. 5 (August 2016).
- (2011): A fault-tolerant and energy efficient control strategy for primary–secondary chilled water systems in buildings. In: Energy and Buildings, v. 43, n. 12 (Dezember 2011).
- (2016): A GA-based coordinated demand response control for building group level peak demand limiting with benefits to grid power balance. In: Energy and Buildings, v. 110 (Januar 2016).
- (2017): A dynamic dehumidifier model for simulations and control of liquid desiccant hybrid air conditioning systems. In: Energy and Buildings, v. 140 (April 2017).
- (2016): Development and validation of an effective and robust chiller sequence control strategy using data-driven models. In: Automation in Construction, v. 65 (Mai 2016).
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