Michael J. Risbeck 
- (2023): Data-driven control of airborne infection risk and energy use in buildings. In: Building and Environment, v. 245 (November 2023).
- (2023): A timeseries supervised learning framework for fault prediction in chiller systems. In: Energy and Buildings, v. 285 (April 2023).
- (2023): Grey-box model and neural network disturbance predictor identification for economic MPC in building energy systems. In: Energy and Buildings, v. 286 (May 2023).
- (2021): Modeling and multiobjective optimization of indoor airborne disease transmission risk and associated energy consumption for building HVAC systems. In: Energy and Buildings, v. 253 (December 2021).
- (2021): Quantifying the Tradeoff Between Energy Consumption and the Risk of Airborne Disease Transmission for Building HVAC Systems. In: Science and Technology for the Built Environment, v. 28, n. 2 (December 2021).
- (2021): Building HVAC control with reinforcement learning for reduction of energy cost and demand charge. In: Energy and Buildings, v. 239 (May 2021).
- (2017): A mixed-integer linear programming model for real-time cost optimization of building heating, ventilation, and air conditioning equipment. In: Energy and Buildings, v. 142 (May 2017).
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