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Intelligent control of HVAC systems. Part I: Modeling and synthesis
2013
INCAS Bulletin
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This is the first part of a work on intelligent type control of Heating, Ventilating and Air-Conditioning (HVAC) systems. ...
To illustrate the proposed HVAC control technique, in this first part it is considered as benchmark problem a single thermal space HVAC system. ...
the relation (14) , the matrix To counteract the risk of the neuro-control saturation and to achieve the enhancement of the learning system, a fuzzy supervised neuro-control (FSNC) was developed in ...
doi:10.13111/2066-8201.2013.5.1.11
fatcat:hkao7g6arvcfflv6vslglx3zuy
Development an Adaptive Incremental Fuzzy PI Controller for a HVAC System
2013
International Journal of Computers Communications & Control
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This paper presents an adaptive incremental fuzzy PI controller (AIFPI) for a heating, ventilating, and air conditioning (HVAC) system capable of maintaining comfortable conditions under varying thermal ...
To evaluate the effectiveness of the proposed control methods in the HVAC system, it is compared with a fixed well-tuned PI controller. ...
For example, the development of control strategies for improving the performance of PID controllers using self tuning and adaptive control PI control techniques for HVAC systems has been studied in recently ...
doi:10.15837/ijccc.2013.5.641
fatcat:nnij5nbf7rdazny5ezxdjufs24
Computational intelligence techniques for HVAC systems: A review
2016
Building Simulation
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Heating, ventilation and air-conditioning (HVAC) systems are the major source of energy consumption in buildings and ideal candidates for substantial reductions in energy demand. ...
and control of buildings and systems. ...
The scalarization of objective functions is further discussed in Mourshed (2006) , Mourshed et al. (2011) . ...
doi:10.1007/s12273-016-0285-4
fatcat:eaexvu72tferbaphbfv6g6ynxu
Developed adaptive neuro-fuzzy algorithm to control air conditioning system at different pressures
2018
International Journal of Engineering, Science and Technology
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The paper developed artificial intelligence technique adaptive neuro-fuzzy controller for air conditioning systems at different pressures. ...
data of the air conditioning system which changes with pressure values. ...
Adaptive Neuro-Fuzzy (ANF) method is developed for the supply air pressure control loop of Heating, Ventilation and Air-conditioning (HVAC) system. ...
doi:10.4314/ijest.v5i4.5
fatcat:cpv44cksljd3hltzsyeiiy5rqq
Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis
2019
Sensors
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In this study, information pertaining to the development of artificial intelligence (AI) technology for improving the performance of heating, ventilation, and air conditioning (HVAC) systems was collected ...
Among the 18 AI tools developed for HVAC control during the past 20 years, only three functions, including weather forecasting, optimization, and predictive controls, have become mainstream. ...
[22] 2004 ANNs for load forecasting of Taiwan power system An integrated, evolving fuzzy neuro network and simulated annealing (AIFNN) developed for load forecasting Compared with traditional ANNs ...
doi:10.3390/s19051131
fatcat:2ghnxosb4nd3xk5lj4nn2y6rpa
Theory and applications of HVAC control systems – A review of model predictive control (MPC)
2014
Building and Environment
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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 conditioning (HVAC) systems ...
Several control methods used for HVAC control are identified from the literature review, and a brief survey of each method is presented. ...
Acknowledgments This research was financially supported by Ryerson Center for Urban Energy (CUE), Toronto Hydro and Mitacs-Accelerate Program. ...
doi:10.1016/j.buildenv.2013.11.016
fatcat:ifl52bbfbzbkfpn35fv7ffgjw4
Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps
2018
Energies
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Schematic diagrams of different applied control methods for HVAC systems are shown in Figure 1 . ...
The advantages and disadvantages of each control method are discussed and finally the Fuzzy Cognitive Map (FCM) method is introduced as a new strategy for HVAC systems. ...
Acknowledgments: The study was supported by the Universiti Putra Malaysia to publish in open access. I would like to thank Uranus Saadat for language editing of the manuscript. ...
doi:10.3390/en11030495
fatcat:kogdje2derf55dqnpwxockoaly
Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review
[article]
2020
arXiv
pre-print
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Therefore, the creation of thermally comfortable and energy efficient environments is of great importance in the design of the buildings and hence the heating, ventilation and air-conditioning systems. ...
Methods. ...
an alternative for
HVAC control system. ...
arXiv:2006.12559v2
fatcat:odaedlx7ibh5zasc2ux4okk7xe
A Review on Applications of Fuzzy Logic Control for Refrigeration Systems
2022
Applied Sciences
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The use of fuzzy logic controllers in refrigeration and air conditioning systems, RACs, has as main objective to maintain certain thermal and comfort conditions. ...
In this sense, fuzzy controllers have proven to be a viable option for use in RACs due to their ease of implementation and their ability to integrate with other control systems and control improvements ...
Acknowledgments: We acknowledge the University of Guanajuato for their sponsorship in the realization of this work.
Conflicts of Interest: The authors declare no conflict of interest. Appl. ...
doi:10.3390/app12031302
fatcat:bgjsgnfmmrdsfpozh5ksqez2su
A Dynamic Fuzzy Controller to Meet Thermal Comfort by Using Neural Network Forecasted Parameters as the Input
2014
Energies
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In this paper, an approach based on a combined neuro-fuzzy model for dynamic and automatic regulation of indoor temperature is proposed. ...
The proposed artificial neural network performs indoor temperatures forecasts that are used to feed a fuzzy logic control unit in order to manage the on/off switching of the HVAC system and the regulation ...
A novel optimal Type-2 fuzzy proportional-integral-derivative controller is proposed in [38] for controlling the air supply pressure in an HVAC system. ...
doi:10.3390/en7084727
fatcat:zb7gbn4kk5ablaoi2ac6nghbju
Special Issue "Intelligent Control in Energy Systems"
2019
Energies
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, decision tree for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrid, and neuro-fuzzy systems in energy storage. ...
It covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural network for fuel cell control and dynamic optimization of energy management, adaptive control on ...
Conflicts of Interest: The author declares no conflict of interest. ...
doi:10.3390/en12153017
fatcat:uzzrvevnvbfoxca4hcubmf3bfy
Thermal comfort based fuzzy logic controller
2001
Building Services Engineering Research & Technology
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Most heating, ventilation and air conditioning (HVAC) control systems are considered as temperature control problems. ...
This is achieved through the use of a fuzzy logic controller that takes into account a range of human comfort criteria in the formulation of the control action that should be applied to the heating system ...
Acknowledgements The authors would like to thank the Northumbria Photovoltaics Application Centre at the University of Northumbria and Meteorological Office (Academic Research Section) in London, for supplying ...
doi:10.1177/014362440102200403
fatcat:gesg5w5ug5c63b6hudx5tcyqee
A novel enhanced exergy method in analyzing HVAC system using soft computing approaches: A case study on mushroom growing hall
2020
Zenodo
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Adaptive neuro fuzzy inference system (ANFIS) and multi layered perceptron (MLP) methods are used to model the studied system. ...
Energy crisis concentrates attentions in the field of building energy consumption through optimization of HVAC control systems. Studying the HVAC systems and optimizing them will help to save energy. ...
Adaptive neuro fuzzy inference system (ANFIS) In this section, a prediction model of system was developed using ANFIS method. ...
doi:10.5281/zenodo.4051256
fatcat:35ohmggo75hkrpcjsxdbekfxza
Sensorless Air Flow Control in an HVAC System through Deep Learning
2019
Applied Sciences
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In this paper, we propose a method to replace the static pressure sensor that is essential for the operation of the HVAC system through the deep neural network (DNN). ...
Second, since the sensors need to be physically connected and integrated into the heating, ventilation, and air conditioning (HVAC) system, the complexity and the operating cost of the system are increased ...
[23] predicted wind speed using the rotor speed and other variables of the wind power source using an adaptive neuro-fuzzy inference system. Vlastimir et al. ...
doi:10.3390/app9163293
fatcat:jwwwjv7mpnfxrdhv32xenb4byq
Sustainable Air-Conditioning Systems Enabled by Artificial Intelligence: Research Status, Enterprise Patent Analysis, and Future Prospects
2022
Sustainability
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In order to analyze the large amount of data, this study developed a resource description framework (RDF) as an analysis tool. ...
Artificial intelligence (AI) technologies have developed rapidly since 2000. Numerous academic papers have been published regarding energy efficiency improvements for air-conditioning systems. ...
Variable air volume model for an HVAC system A method is developed for modeling HVAC equipment. ...
doi:10.3390/su14127514
fatcat:xiwfybtgkbbelizq6idr7joyqi
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