Optimal Operation for Reduced Energy Consumption of an Air Conditioning System Using Neural Inverse Optimal Control

Optimal Operation for Reduced Energy Consumption of an Air Conditioning System Using Neural Inverse Optimal Control

For a comfortable thermal environment, the main parameters are indoor air humidity and temperature. These parameters are strongly coupled, causing the need to search for multivariable control alternatives that allow efficient results. Therefore, in order to control both the indoor air humidity and t...

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Bibliographic Details
Main Authors: Flavio Muñoz, Ramon Garcia-Hernandez, Jose Ruelas, Juan E. Palomares-Ruiz, Carlos Álvarez-Macías
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
direct expansion
air conditioning system
neural network
unscented Kalman filter
variable speed
Online Access:https://www.mdpi.com/2227-7390/10/5/695

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