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| Presentation | 2016-03-04 15:25 Household Solar Power Output Prediction Services for Power Grid Stabilization in Smart Grid Ryo Kutsuzawa (Keio Univ.), Guillaume Habault (Telecom Br), Naoya Takemura, Akira Yamashita, Jun Matsumoto, Hidetoshi Takeshita, Naoaki Yamanaka (Keio Univ.)  IN2015-153 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, household solar panels are rapidly spreading in Japan, and it is one research issue to utilize unstable solar panel. Renewable energy is unstable. So the prediction of power generation amount by solar panels is very important. We propose a prediction service of household solar power output. There are many prediction methods for big solar power plants. However, there are no prediction methods for household solar power output within our investigation. We propose a prediction service for household solar power output. We show comparison between actual power and forecast and estimate the number of data for machine learning to mature. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | smart grid / solar power output preduciton / machine learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 484, IN2015-153, pp. 265-269, March 2016. | |
| Paper # | IN2015-153 | |
| Date of Issue | 2016-02-25 (IN) | |
| ISSN | Print edition: ISSN 0913-5685 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 | IN2015-153 |
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| Conference Information | |
| Committee | NS IN |
| Conference Date | 2016-03-03 - 2016-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Phoenix Seagaia Resort |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2016-03-NS-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Household Solar Power Output Prediction Services for Power Grid Stabilization in Smart Grid |
| Sub Title (in English) | |
| Keyword(1) | smart grid |
| Keyword(2) | solar power output preduciton |
| Keyword(3) | machine learning |
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| 1st Author's Name | Ryo Kutsuzawa |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Guillaume Habault |
| 2nd Author's Affiliation | Telecom Bretagne (Telecom Br) |
| 3rd Author's Name | Naoya Takemura |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
| 4th Author's Name | Akira Yamashita |
| 4th Author's Affiliation | Keio University (Keio Univ.) |
| 5th Author's Name | Jun Matsumoto |
| 5th Author's Affiliation | Keio University (Keio Univ.) |
| 6th Author's Name | Hidetoshi Takeshita |
| 6th Author's Affiliation | Keio University (Keio Univ.) |
| 7th Author's Name | Naoaki Yamanaka |
| 7th Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-03-04 15:25:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2015-153 |
| Volume (vol) | vol.115 |
| Number (no) | no.484 |
| Page | pp.265-269 |
| #Pages | 5 |
| Date of Issue | 2016-02-25 (IN) |
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