| Paper Abstract and Keywords |
| Presentation |
2024-08-23 14:55
A Study of Service Improvement for Promoting Energy-Saving Behavior Shun Hirai, Takuya Nakata (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Sinan Chen, Masahide Nakamura (Kobe Univ.) SWIM2024-11 SC2024-19 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Climate change, particularly global warming, has become a serious worldwide issue. To address this, the Japanese government has set a goal of achieving a zero carbon society. To realize zero carbon emissions, it is essential to promote energy-saving behaviors among individuals. In a previous study aimed at promoting such energy-saving behaviors, a method was proposed to notify users of energy-saving actions through a virtual agent based on consumption predictions. However, this previous study had some issues, such as insufficient evaluation of the consumption prediction model and lack of consideration for weather influences in consumption forecasts. In this research, we compare the machine learning-based consumption prediction model from the previous study with other models. Additionally, we add weather information as a feature to verify if it improves the accuracy of consumption predictions. Through evaluation using real data, it was confirmed that the addition of features improved the accuracy of consumption prediction. By evaluating and refining the machine learning models, we were able to construct more accurate models. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Zero carbon / Energy-saving behavior / Power consumption / Machine learning / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 160, SC2024-19, pp. 25-30, Aug. 2024. |
| Paper # |
SC2024-19 |
| Date of Issue |
2024-08-16 (SWIM, 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 |
SWIM2024-11 SC2024-19 |
| Conference Information |
| Committee |
SWIM SC |
| Conference Date |
2024-08-23 - 2024-08-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Services Computing and Interprise Modeling Technology for Society 5.0, General |
| Paper Information |
| Registration To |
SC |
| Conference Code |
2024-08-SWIM-SC |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study of Service Improvement for Promoting Energy-Saving Behavior |
| Sub Title (in English) |
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| Keyword(1) |
Zero carbon |
| Keyword(2) |
Energy-saving behavior |
| Keyword(3) |
Power consumption |
| Keyword(4) |
Machine learning |
| Keyword(5) |
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| Keyword(6) |
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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 |
2024-08-23 14:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
SC |
| Paper # |
SWIM2024-11, SC2024-19 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.159(SWIM), no.160(SC) |
| Page |
pp.25-30 |
| #Pages |
6 |
| Date of Issue |
2024-08-16 (SWIM, SC) |