All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
Sensor impacts on building and HVAC controls: A critical review for building energy performance
Building operations rely heavily on control systems and sensors. This paper provides a
sophisticated literature review on sensor systems in building/HVAC systems, particularly in …
sophisticated literature review on sensor systems in building/HVAC systems, particularly in …
[HTML][HTML] Approximate model predictive building control via machine learning
Many studies have proven that the building sector can significantly benefit from replacing the
current practice rule-based controllers (RBC) by more advanced control strategies like …
current practice rule-based controllers (RBC) by more advanced control strategies like …
Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
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 …
performance and saving energy. However, after over 20 years of research, it is yet to be …
[HTML][HTML] Evaluation of advanced control strategies for building energy systems
Advanced building control strategies like model predictive control and reinforcement
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
Data-driven methods for building control—A review and promising future directions
A review of the heating, ventilation and air-conditioning control problem for buildings is
presented with particular emphasis on its distinguishing features. Next, we not only examine …
presented with particular emphasis on its distinguishing features. Next, we not only examine …
A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
Measured and simulated data sources from the built environment are increasing rapidly. It is
becoming normal to analyze data from hundreds, or even thousands of buildings at once …
becoming normal to analyze data from hundreds, or even thousands of buildings at once …
Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment
T Ahmad, H Chen - Energy, 2018 - Elsevier
Medium-term and long-term energy prediction is essential for the planning and operations of
the smart grid eco-system. The prediction of next year and next month energy demand of …
the smart grid eco-system. The prediction of next year and next month energy demand of …
Ground-coupled heat pumps: Part 1–Literature review and research challenges in modeling and optimal control
In this paper, a compact overview of the state-of-the-art in modeling of ground-coupled heat
pump (GCHP) systems and an in-depth review of their optimal control along with the …
pump (GCHP) systems and an in-depth review of their optimal control along with the …
Data mining approach for improving the optimal control of HVAC systems: An event-driven strategy
Heating, ventilation and air conditioning (HVAC) systems contribute to a major portion of
energy consumption in buildings. Real-time optimal control is an efficient tool to improve the …
energy consumption in buildings. Real-time optimal control is an efficient tool to improve the …