eprintid: 2678
rev_number: 9
eprint_status: archive
userid: 292
dir: disk0/00/00/26/78
datestamp: 2017-11-29 03:46:26
lastmod: 2017-11-29 03:46:26
status_changed: 2017-11-29 03:46:26
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Hoai Son
creators_name: Makino, Yoshiki
creators_name: Lim, Yuto
creators_name: Tan, Yasuo
creators_id: sonnh@vnu.edu.vn
title: Short-term prediction of energy consumption of air conditioners based on weather forecast
ispublished: pub
subjects: ECE
subjects: IT
divisions: fac_fit
abstract: In residential houses, air conditioners consume a lot of electrical energy. In order to improve energy efficiency for residential houses, short-term prediction of energy consumption of air conditioners is required. In this paper, we propose the use of our thermal simulation to simulate the change of room temperature based on weather forecast information and predict the energy consumption of an air conditioner in a residential house. In order to calculate solar radiation heat flux, which contributes a lot to the change of room temperature, we utilize a neural network model to predict global solar radiation using training data obtained from weather stations. We also utilize a PID control model to simulate the operation of air conditioners. The accuracy of our simulation is verified by experiments carried out at a real testbed house.
date: 2017-11-24
date_type: published
full_text_status: public
pres_type: paper
event_title: 2017 4th NAFOSTED Conference on Information and Computer Science (NICS 2017)
event_location: Hanoi, Vietnam
event_dates: 24-25 November 2017
event_type: conference
refereed: TRUE
citation:   Nguyen, Hoai Son and Makino, Yoshiki and Lim, Yuto and Tan, Yasuo  (2017) Short-term prediction of energy consumption of air conditioners based on weather forecast.  In: 2017 4th NAFOSTED Conference on Information and Computer Science (NICS 2017), 24-25 November 2017, Hanoi, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2678/1/Short-term%20prediction%20of%20energy%20consumption%20of%20air%20conditioners%20based%20on%20weather%20forecast.pdf