In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community …
X Li, J Wen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Abstract Buildings consume about 41.1% of primary energy and 74% of the electricity in the US Better or even optimal building energy control and operation strategies provide great …
Buildings are dynamical systems with several control challenges: large storage capacities, switching aggregates, technical and thermal constraints, and internal and external …
S Zhan, A Chong - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Abstract Model predictive control (MPC) has shown great potential in improving building performance and saving energy. However, after over 20 years of research, it is yet to be …
Recent results show that a predictive building automation can be used to operate buildings in an energy and cost effective manner with only a small retrofitting requirements. In this …
This paper describes the development, implementation and experimental investigation of a Hybrid Model Predictive Control (HMPC) strategy to control solar-assisted heating …
In educational buildings, the HVAC system is a major contributor to the total energy use. It is well-known that energy reductions could be achieved by more advanced control strategies …
E Atam, L Helsen - IEEE Control systems magazine, 2016 - ieeexplore.ieee.org
The residential and commercial building sector is known to use around 40% of the total end- use energy and, hence, is considered to be the largest energy consumer sector in the world …
Z Wang, Y Chen - Energy and Buildings, 2019 - Elsevier
Data-driven approach is essential to the modeling of building thermal dynamics. It has been widely applied in building operation optimization, energy management, system performance …