| Paper Abstract and Keywords |
| Presentation |
2024-06-08 15:25
A Study of VA Energy-Saving Behavior Promotion Services Based on Personal Power Consumption Data Shun Hirai, Takuya Nakata (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Sinan Chen, Masahide Nakamura (Kobe Univ.) SC2024-13 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Currently, climate change, including global warming, is becoming a serious issue worldwide, and the Japanese government is aiming to achieve a zero-carbon society to address this. To achieve zero carbon, promoting energy-saving behaviors among individuals is essential. Previous studies aimed at promoting energy-saving behaviors have faced issues such as inappropriate settings for individual consumption power baselines, inability to automate the setting of baseline periods, and unclear targets for reducing power consumption. This study proposes an energy-saving behavior promotion service in collaboration with a virtual agent (VA), using machine learning to make consumption predictions based on individual data and to automatically set appropriate baselines. In the case study, the accuracy of power consumption predictions and the corresponding baseline settings were verified using actual data to confirm the operation. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Zero carbon / Energy-saving behavior / Power consumption / Machine learning / VA / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 71, SC2024-13, pp. 71-76, June 2024. |
| Paper # |
SC2024-13 |
| Date of Issue |
2024-05-31 (SC) |
| 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 |
SC2024-13 |
| Conference Information |
| Committee |
SC |
| Conference Date |
2024-06-07 - 2024-06-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Univ. of Aizu |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SC |
| Conference Code |
2024-06-SC |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study of VA Energy-Saving Behavior Promotion Services Based on Personal Power Consumption Data |
| Sub Title (in English) |
|
| Keyword(1) |
Zero carbon |
| Keyword(2) |
Energy-saving behavior |
| Keyword(3) |
Power consumption |
| Keyword(4) |
Machine learning |
| Keyword(5) |
VA |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Shun Hirai |
| 1st Author's Affiliation |
Kobe University (Kobe Univ.) |
| 2nd Author's Name |
Takuya Nakata |
| 2nd Author's Affiliation |
Kobe University (Kobe Univ.) |
| 3rd Author's Name |
Sachio Saiki |
| 3rd Author's Affiliation |
Kochi University of Technology (Kochi Univ. of Tech.) |
| 4th Author's Name |
Sinan Chen |
| 4th Author's Affiliation |
Kobe University (Kobe Univ.) |
| 5th Author's Name |
Masahide Nakamura |
| 5th Author's Affiliation |
Kobe University (Kobe Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-08 15:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
SC |
| Paper # |
SC2024-13 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.71 |
| Page |
pp.71-76 |
| #Pages |
6 |
| Date of Issue |
2024-05-31 (SC) |