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@article{ART002294720},
author={Kim, JeeHyun and Young Im Cho},
title={An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={12},
pages={27-34},
doi={10.9708/jksci.2017.22.12.027}

TY - JOUR
AU - Kim, JeeHyun
AU - Young Im Cho
TI - An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 12
PB - The Korean Society Of Computer And Information
SP - 27
EP - 34
SN - 1598-849X
AB - Design of an intelligent controller for efficient control in smart building is one of the effective technologies to reduce energy consumption by reducing response time with keeping comfortable level for inhabitants. In this paper, we focus on how to find major parameters in order to enhance the ability of HVAC(heating, ventilation, air conditioning) PID controller. For the purpose of that, we use machine learning technologies for tuning HVAC devices. We show the simulation results to illustrate the behavioral relation of whole system and each control parameter while learning process.
KW - machine learning;PID controller;HVAC;comfortableable;parameter tuning
DO - 10.9708/jksci.2017.22.12.027
ER -

Kim, JeeHyun and Young Im Cho. (2017). An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning. Journal of The Korea Society of Computer and Information, 22(12), 27-34.

Kim, JeeHyun and Young Im Cho. 2017, "An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning", Journal of The Korea Society of Computer and Information, vol.22, no.12 pp.27-34. Available from: doi:10.9708/jksci.2017.22.12.027

Kim, JeeHyun, Young Im Cho "An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning" Journal of The Korea Society of Computer and Information 22.12 pp.27-34 (2017) : 27.

Kim, JeeHyun, Young Im Cho. An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning. 2017; 22(12), 27-34. Available from: doi:10.9708/jksci.2017.22.12.027

Kim, JeeHyun and Young Im Cho. "An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning" Journal of The Korea Society of Computer and Information 22, no.12 (2017) : 27-34.doi: 10.9708/jksci.2017.22.12.027

Kim, JeeHyun; Young Im Cho. An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning. Journal of The Korea Society of Computer and Information, 22(12), 27-34. doi: 10.9708/jksci.2017.22.12.027

Kim, JeeHyun; Young Im Cho. An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning. Journal of The Korea Society of Computer and Information. 2017; 22(12) 27-34. doi: 10.9708/jksci.2017.22.12.027

Kim, JeeHyun, Young Im Cho. An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning. 2017; 22(12), 27-34. Available from: doi:10.9708/jksci.2017.22.12.027

Kim, JeeHyun and Young Im Cho. "An Enhanced Technologies of Intelligent HVAC PID Controller by Parameter Tuning based on Machine Learning" Journal of The Korea Society of Computer and Information 22, no.12 (2017) : 27-34.doi: 10.9708/jksci.2017.22.12.027