Paper Abstract and Keywords |
Presentation |
2019-01-15 15:55
[Invited Talk]
Electricity Demand Forecasting by Machine Learning
-- Potential of Utilizing Numerical Weather Prediction by Machine Learning -- Hiromasa Shin, Yoshiaki Shiga, Mitsuru Kakimoto (Toshiba) MSS2018-64 SS2018-35 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
An accurate electricity demand forecasting is indispensable for economical operation of power system. We have been developing accurate forecast algorithms for electricity demand, market price and renewable power generation. These algorithms are needed for decarbonization, liberalization, and digitalization in power system. This report introduce research topic of demand forecast algorithm by combining numerical weather prediction and machine learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Demand Forecasting / Machine Learning / Numerical Weather Prediction / Renewable Energy / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 384, MSS2018-64, pp. 55-56, Jan. 2019. |
Paper # |
MSS2018-64 |
Date of Issue |
2019-01-08 (MSS, SS) |
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) |
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MSS2018-64 SS2018-35 |
Conference Information |
Committee |
MSS SS |
Conference Date |
2019-01-15 - 2019-01-16 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MSS |
Conference Code |
2019-01-MSS-SS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Electricity Demand Forecasting by Machine Learning |
Sub Title (in English) |
Potential of Utilizing Numerical Weather Prediction by Machine Learning |
Keyword(1) |
Demand Forecasting |
Keyword(2) |
Machine Learning |
Keyword(3) |
Numerical Weather Prediction |
Keyword(4) |
Renewable Energy |
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1st Author's Name |
Hiromasa Shin |
1st Author's Affiliation |
Toshiba Corporation (Toshiba) |
2nd Author's Name |
Yoshiaki Shiga |
2nd Author's Affiliation |
Toshiba Corporation (Toshiba) |
3rd Author's Name |
Mitsuru Kakimoto |
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Toshiba Corporation (Toshiba) |
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Speaker |
Author-1 |
Date Time |
2019-01-15 15:55:00 |
Presentation Time |
45 minutes |
Registration for |
MSS |
Paper # |
MSS2018-64, SS2018-35 |
Volume (vol) |
vol.118 |
Number (no) |
no.384(MSS), no.385(SS) |
Page |
pp.55-56 |
#Pages |
2 |
Date of Issue |
2019-01-08 (MSS, SS) |
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