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Theory and applications of HVAC control systems–A review of model predictive control (MPC)
This work presents a literature review of control methods, with an emphasis on the theory
and applications of model predictive control (MPC) for heating, ventilation, and air …
and applications of model predictive control (MPC) for heating, ventilation, and air …
Review of control techniques for HVAC systems—Nonlinearity approaches based on Fuzzy cognitive maps
Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming
devices in buildings. Nowadays, due to the high demand for HVAC system installation in …
devices in buildings. Nowadays, due to the high demand for HVAC system installation in …
[HTML][HTML] A long-short term memory recurrent neural network based reinforcement learning controller for office heating ventilation and air conditioning systems
Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning
(HVAC) system is being researched extensively. In this paper, a model-free actor-critic …
(HVAC) system is being researched extensively. In this paper, a model-free actor-critic …
Toward self‐driving processes: A deep reinforcement learning approach to control
Advanced model‐based controllers are well established in process industries. However,
such controllers require regular maintenance to maintain acceptable performance. It is a …
such controllers require regular maintenance to maintain acceptable performance. It is a …
Black-box modeling of residential HVAC system and comparison of gray-box and black-box modeling methods
In this article, black-box models of the residential heating, ventilation and air conditioning
(HVAC) system are developed. The data of the input and output of the system is measured …
(HVAC) system are developed. The data of the input and output of the system is measured …
[HTML][HTML] Artificial intelligence (AI)-based occupant-centric heating ventilation and air conditioning (HVAC) control system for multi-zone commercial buildings
A Yayla, KS Świerczewska, M Kaya, B Karaca… - Sustainability, 2022 - mdpi.com
Buildings are responsible for almost half of the world's energy consumption, and
approximately 40% of total building energy is consumed by the heating ventilation and air …
approximately 40% of total building energy is consumed by the heating ventilation and air …
Virtual hardware-in-the-loop FMU co-simulation based digital twins for heating, ventilation, and air-conditioning (HVAC) systems
S Abrazeh, SR Mohseni, MJ Zeitouni… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
In this paper, a novel self-adaptive control method based on a digital twin is developed and
investigated for a multi-input multi-output (MIMO) nonlinear system, which is a heating …
investigated for a multi-input multi-output (MIMO) nonlinear system, which is a heating …
MPC control for improving energy efficiency of a building air handler for multi-zone VAVs
The performance and energy saving of building heating, ventilation, and air conditioning
(HVAC) systems can be significantly improved by the implementation of intelligent and …
(HVAC) systems can be significantly improved by the implementation of intelligent and …
A state of art review on methodologies for control strategies in low energy buildings in the period from 2006 to 2016
Y Wang, J Kuckelkorn, Y Liu - Energy and Buildings, 2017 - Elsevier
Building sector accounts for significant portion of total final energy use in most countries.
One way to reduce significantly building energy consumption is to adopt energy efficiency …
One way to reduce significantly building energy consumption is to adopt energy efficiency …
Deep reinforcement learning for process control: A primer for beginners
Advanced model-based controllers are well established in process industries. However,
such controllers require regular maintenance to maintain acceptable performance. It is a …
such controllers require regular maintenance to maintain acceptable performance. It is a …