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Paper Abstract and Keywords
Presentation 2019-11-05 09:20
Control Air Ventilation Based on Prediction of Occupancy for Saving Energy
Sotaro Maejima, Hiroyuki Maeomichi (NTT), Toshihiko Akioka, Masatoshi Yokoi (NTT West) SeMI2019-62
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, energy saving for commercial air conditioning based on Building Energy Management System (BEMS) is attracting attention. However, there are few examples of air-conditioning control methods that consider predicted value of occupancy which affect the heat load and CO2 concentration, and real environments where the distribution of occupancy is complex, such as commercial facilities. In this paper, in order to saving energy with maintaining comfort, simulation about air ventilation was conducted using predicted occupancy, temperature, time information, BEMS information, etc. Such information and modeling of HVAC is derived from real commercial facility. As a result of simulation, energy was reduced by 10 %.
Keyword (in Japanese) (See Japanese page) 
(in English) Time Series Prediction / Deep Learning / Air Conditioning / HACV / Smart City / Saving Energy / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 266, SeMI2019-62, pp. 1-6, Nov. 2019.
Paper # SeMI2019-62 
Date of Issue 2019-10-29 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SeMI2019-62

Conference Information
Committee SRW SeMI CNR  
Conference Date 2019-11-05 - 2019-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kozo Keisaku Engineering Inc. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop (Oral or Poster presentation) 
Paper Information
Registration To SeMI 
Conference Code 2019-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Control Air Ventilation Based on Prediction of Occupancy for Saving Energy 
Sub Title (in English)  
Keyword(1) Time Series Prediction  
Keyword(2) Deep Learning  
Keyword(3) Air Conditioning  
Keyword(4) HACV  
Keyword(5) Smart City  
Keyword(6) Saving Energy  
Keyword(7)  
Keyword(8)  
1st Author's Name Sotaro Maejima  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Hiroyuki Maeomichi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Toshihiko Akioka  
3rd Author's Affiliation Nippon Telegraph and Telephone West Corporation (NTT West)
4th Author's Name Masatoshi Yokoi  
4th Author's Affiliation Nippon Telegraph and Telephone West Corporation (NTT West)
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Speaker Author-1 
Date Time 2019-11-05 09:20:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2019-62 
Volume (vol) vol.119 
Number (no) no.266 
Page pp.1-6 
#Pages 6 
Date of Issue 2019-10-29 (SeMI) 

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