A Dynamic Fuzzy Controller to Meet Thermal Comfort by Using Neural Network Forecasted Parameters as the Input

A Dynamic Fuzzy Controller to Meet Thermal Comfort by Using Neural Network Forecasted Parameters as the Input

Heating, ventilating and air-conditioning (HVAC) systems are typical non-linear time-variable multivariate systems with disturbances and uncertainties. In this paper, an approach based on a combined neuro-fuzzy model for dynamic and automatic regulation of indoor temperature is proposed. The propose...

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Bibliographic Details
Main Authors: Mario Collotta, Antonio Messineo, Giuseppina Nicolosi, Giovanni Pau
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Energies
Subjects:
thermal comfort
fuzzy logic controller
artificial neural networks
HVAC intelligent systems
Online Access:http://www.mdpi.com/1996-1073/7/8/4727

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