State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field
Y Yao, DK Shekhar - Building and Environment, 2021 - Elsevier
Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …
and in turn, present us with different challenges for its optimized control of energy-saving …
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 …
[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
A model predictive control system with adaptive machine-learning-based building models
for building automation and control applications is proposed. The system features an …
for building automation and control applications is proposed. The system features an …
[HTML][HTML] Adaptive-predictive control strategy for HVAC systems in smart buildings–A review
High share of energy consumption in buildings and subsequent increase in greenhouse gas
emissions along with stricter legislations have motivated researchers to look for sustainable …
emissions along with stricter legislations have motivated researchers to look for sustainable …
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 …
Physics-informed neural networks for building thermal modeling and demand response control
Buildings energy consumption constitutes over 40% of the total primary energy
consumption, and buildings can provide potential energy flexibility for the grid. In the grid …
consumption, and buildings can provide potential energy flexibility for the grid. In the grid …
Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control
The adoption of model predictive control (MPC) for building automation and control
applications is challenged by the high hardware and software requirements to solve its …
applications is challenged by the high hardware and software requirements to solve its …
Energy saving and indoor temperature control for an office building using tube-based robust model predictive control
Actively controlling a building's heating, ventilation, and air conditioning (HVAC) system can
reduce costs and improve indoor comfort. Model predictive control (MPC) is an effective …
reduce costs and improve indoor comfort. Model predictive control (MPC) is an effective …
Multi-objective two-stage adaptive robust planning method for an integrated energy system considering load uncertainty
An integrated energy system (IES) is considered as an effective approach to reduce carbon
emissions, lower energy supply costs and increase system flexibility. As numerous energy …
emissions, lower energy supply costs and increase system flexibility. As numerous energy …