eprintid: 1893
rev_number: 15
eprint_status: archive
userid: 292
dir: disk0/00/00/18/93
datestamp: 2016-12-01 02:18:03
lastmod: 2016-12-01 02:18:03
status_changed: 2016-12-01 02:18:03
type: article
metadata_visibility: show
creators_name: Mohd Hussein, Shamsul Faisal
creators_name: Nguyen, Hoaison
creators_name: Abdullah, Shahrum Shah
creators_name: Lim, Yuto
creators_name: Tan, Yasuo
title: Black box modelling the thermal behaviour of ihouse using auto regressive and moving average (ARMA) model
ispublished: pub
subjects: ECE
subjects: isi
divisions: fac_fit
abstract: Modelling and simulation of the dynamic thermal behaviour of a building is important to test any proposed thermal comfort control system and strategy in the building. A simulation model can be obtained by using either the white box, grey box or black box modelling method. This research focuses on the usage of auto regressive and moving average (ARMA) model, a type of black box model that represents the dynamic thermal behaviour of iHouse testbed and uses real recorded data from the testbed and limited knowledge regarding the physical characteristics of the testbed. The performance of the ARMA model developed in this research is compared with the performance of House Thermal Simulator, a previously developed model, based on grey box modelling. Results obtained shows that ARMA model works better than House Thermal Simulator in some aspects.
date: 2016
date_type: published
official_url: http://doi.org/10.11113/jt.v78.9272
id_number: doi:10.11113/jt.v78.9272
full_text_status: public
publication: Jurnal Teknologi
volume: 78
number: 6-13
refereed: TRUE
issn: 0127-9696
projects: QG.16.30
citation:   Mohd Hussein, Shamsul Faisal and Nguyen, Hoaison and Abdullah, Shahrum Shah and Lim, Yuto and Tan, Yasuo  (2016) Black box modelling the thermal behaviour of ihouse using auto regressive and moving average (ARMA) model.  Jurnal Teknologi, 78  (6-13).    ISSN 0127-9696     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1893/1/Black%20box%20modelling%20the%20thermal%20behaviour%20of%20ihouse%20using%20auto%20regressive%20and%20moving%20average%20%28ARMA%29%20model.pdf