Model predictive control for the operation of building cooling systems

By Yudong Ma, Francesco Borrelli, Brandon Hencey, B. Coffey, Sorin C. Bengea, P. Haves. Proceedings of the 2010 American Control Conference, 2010

623 citations recorded by the source corpus.

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Data center cooling using model-predictive control (2018, methodology): “MPC has previously been used to regulate building cooling [18, 22, 23, 13, 12], with most approaches relying on historical data and physicsbased models.”
Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing (2013, background): “9 improvement of the plant Coefficient of Performance (COP) (Ma et al., 2010).”
Deep reinforcement learning for building HVAC control (2017, background): “11, 10, 25].”
An Introduction to Trajectory Optimization: How to Do Your Own Direct Collocation (2017, methodology): “This type of system is commonly used in model predictive control, for example in building climate control systems [35].”
Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost–Benefit Analysis (2016, methodology): “unlike a majority of the above studies (exceptions being [11], [12], [14], and [16]), we did not consider only test cells or individual rooms, but an entire, fully operational building.”
Digital twin paradigm: A systematic literature review (2021, methodology): “• The Model-based predictive control uses a model of the system to make predictions about the system’s future behaviour (Ma et al., 2011).”