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| Presentation | 2021-06-11 10:50 A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression Munetaka Noguchi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.)  NLP2021-3 CCS2021-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated in terms of analysis and control, and thus the so-called micro Phasor Measurement Unit (PMU) with high-resolution capability has been researched. In this report, we propose to use the so-called Gaussian Process Regression (GPR) for prediction of PMU time-series data on distribution voltage and demonstrate it using measurement data from the in-campus distribution network in Nakamozu Campus, Osaka Prefecture University, Japan. Also, the GPR-based prediction is discussed in terms of learning of actions of the Koopman operator for nonlinear dynamical systems to Gaussian Processes (that is, Gaussian random variables). |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Distribution voltage / Synchrophasor / Time-series data / Prediction / Gaussian process regression / Koopman operator / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 61, NLP2021-3, pp. 10-13, June 2021. | |
| Paper # | NLP2021-3 | |
| Date of Issue | 2021-06-04 (NLP, CCS) | |
| 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 | NLP2021-3 CCS2021-3 |
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| Conference Information | |
| Committee | NLP CCS |
| Conference Date | 2021-06-11 - 2021-06-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2021-06-NLP-CCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression |
| Sub Title (in English) | |
| Keyword(1) | Distribution voltage |
| Keyword(2) | Synchrophasor |
| Keyword(3) | Time-series data |
| Keyword(4) | Prediction |
| Keyword(5) | Gaussian process regression |
| Keyword(6) | Koopman operator |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Munetaka Noguchi |
| 1st Author's Affiliation | Osaka Pref Univ. (Osaka Pref Univ.) |
| 2nd Author's Name | Yoshihiko Susuki |
| 2nd Author's Affiliation | Osaka Pref Univ./JST-PRESTO (Osaka Pref Univ./JST) |
| 3rd Author's Name | Atsushi Ishigame |
| 3rd Author's Affiliation | Osaka Pref Univ. (Osaka Pref Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-06-11 10:50:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2021-3, CCS2021-3 |
| Volume (vol) | vol.121 |
| Number (no) | no.61(NLP), no.62(CCS) |
| Page | pp.10-13 |
| #Pages | 4 |
| Date of Issue | 2021-06-04 (NLP, CCS) |
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