Modeling of a hybrid ejector air conditioning system using artificial neural networks

2016 ◽  
Vol 127 ◽  
pp. 11-24 ◽  
Author(s):  
Hao Wang ◽  
Wenjian Cai ◽  
Youyi Wang
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Air Conditioning ◽  
Air Conditioning System ◽  
Artificial Neural

scholarly journals Methodology for Ensuring a Comfortable Microclimate State in a Smart Home Using an Ensemble of Fuzzy Artificial Neural Networks

2021 ◽  
Vol 20 (6) ◽  
pp. 1418-1447
Author(s):  
Andrey Mozohin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Control System ◽  
Physical Environment ◽  
Air Conditioning ◽  
Smart Home ◽  
Practical Implementation ◽  
Climate Control ◽  
Artificial Neural ◽  
Hybrid Neural Networks

Analysis of the application of smart home technology indicates an insufficient level of controllability of its infrastructure, which leads to excessive consumption of energy and information resources. The problem of managing the digital infrastructure of human living space, is associated with a large number of highly specialized solutions for home automation, which complicate the management process. Smart home is considered as a set of independent cyber-physical devices aimed at achieving its goal. For coordinated work of cyber-physical devices it is proposed to provide their joint work through a single information center. Simulation of device operation modes in a digital environment preserves the resource of physical devices by making a virtual calculation for all possible variants of interaction of devices between themselves and the physical environment. A methodology for controlling the microclimate of a smart home using an ensemble of fuzzy artificial neural networks is developed, with the example of joint use of air conditioning, ventilation and heating. The neural network algorithm allows you to monitor the parameters of the physical environment, predict the modes of cyber-physical devices and generate control signals for each of them, ensuring the joint operation of devices with minimal resource consumption and information traffic. A variant of practical implementation of a smart home climate control system on the example of a multifunctional educational computer class is proposed. Hybrid neural networks of air conditioning, ventilation and heating systems were developed. The testing of the microclimate control system of a multifunctional university classroom using hybrid neural networks was carried out, a programmable logic controller of domestic production was used as a control device. The goal of management based on cooperating cyber-physical devices is to achieve a minimum of power and information traffic when they work together.

Artificial neural networks for automotive air-conditioning systems performance prediction

2013 ◽  
Vol 50 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Haslinda Mohamed Kamar ◽  
Robiah Ahmad ◽  
N.B. Kamsah ◽  
Ahmad Faiz Mohamad Mustafa
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Performance Prediction ◽  
Air Conditioning ◽  
Automotive Air Conditioning ◽  
Artificial Neural ◽  
Air Conditioning Systems

Determination of S-N curves with the application of artificial neural networks

1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural
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