Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review

S Taheri, P Hosseini, A Razban - Journal of Building Engineering, 2022‏ - Elsevier
Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …

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 …

Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings

S Brandi, MS Piscitelli, M Martellacci, A Capozzoli - Energy and Buildings, 2020‏ - Elsevier
Abstract In this work, Deep Reinforcement Learning (DRL) is implemented to control the
supply water temperature setpoint to terminal units of a heating system. The experiment was …

Occupancy behavior based model predictive control for building indoor climate—A critical review

A Mirakhorli, B Dong - Energy and Buildings, 2016‏ - Elsevier
This paper reviews occupancy based model predictive control (MPC) for building indoor
climate control. Occupancy behavior in buildings is stochastic and complex in nature. With …

Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data

B Huchuk, S Sanner, W O'Brien - Building and Environment, 2019‏ - Elsevier
Occupancy detection capabilities provided by modern connected thermostats enable
adaptive thermal control of residential buildings. While this adaptation might simply consider …

Data fusion in predicting internal heat gains for office buildings through a deep learning approach

Z Wang, T Hong, MA Piette - Applied energy, 2019‏ - Elsevier
Abstract Heating, Ventilation, and Air Conditioning (HVAC) is a major energy consumer in
buildings. The predictive control has demonstrated a potential to reduce HVAC energy use …

Stochastic model predictive control for building climate control

F Oldewurtel, CN Jones, A Parisio… - IEEE Transactions on …, 2013‏ - ieeexplore.ieee.org
In this brief paper, a Stochastic Model Predictive Control formulation tractable for large-scale
systems is developed. The proposed formulation combines the use of Affine Disturbance …

[HTML][HTML] Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy …

A Heidari, F Maréchal, D Khovalyg - Applied Energy, 2022‏ - Elsevier
When it comes to residential buildings, there are several stochastic parameters, such as
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …

A control strategy of heating system based on adaptive model predictive control

L Sha, Z Jiang, H Sun - Energy, 2023‏ - Elsevier
Abstract Space heating accounts for a large proportion of a building's energy consumption,
and improving heating efficiency is a significant approach to reduce heating energy …