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| Presentation | 2018-12-01 14:15 Correlation analysis between Power trading market and Demand Response effect -- Economic analysis of efficiency and environment on electricity deregulation -- Hiroyuki Ogura (Mitsubishi Electric Corp.), Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.)  SWIM2018-16 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In Japan's electricity trading market, electricity deregulation including households was implemented in April 2016, the non-fossil value trading market began in May this year, and the baseload market, realtime supply-demand adjustment market and capacity market will be opened in the future to be scheduled. In this paper, we first constructed a regression model to analyze demand response (DR) such as power saving behaviors with the aim of conducting economic analysis of efficiency and environment concerning electricity deregulation. Next, using this regression model, we analyzed the panel data of each household electricity demand (30 minutes value) in Nakanojo Electric Power ‘General Household Electric Power Saving Behavior Survey' in Gunma prefecture. Then, it was tested that the regression analysis model of electricity demand and DR effect that temperature, DR, and sunshine hours are explanatory variables is statistically significant. In addition to extending this model, we analyzed the correlation between electric power supply and demand analysis, power trading spot price and economic DR effect at severe weather conditions once in 30 years and negotiated transaction by DR is statistically verified that it is headed towards the practical stage. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | electricity deregulatio / electricity transaction market / decarbonization / sustainable development / demand response / panel data regression analysis / Evidence Based Policy Making / sharing economy | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 333, SWIM2018-16, pp. 1-8, Dec. 2018. | |
| Paper # | SWIM2018-16 | |
| Date of Issue | 2018-11-24 (SWIM) | |
| 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 | SWIM2018-16 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2018-12-01 - 2018-12-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Univ. of Science |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Management and Internet Technology |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2018-12-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Correlation analysis between Power trading market and Demand Response effect |
| Sub Title (in English) | Economic analysis of efficiency and environment on electricity deregulation |
| Keyword(1) | electricity deregulatio |
| Keyword(2) | electricity transaction market |
| Keyword(3) | decarbonization |
| Keyword(4) | sustainable development |
| Keyword(5) | demand response |
| Keyword(6) | panel data regression analysis |
| Keyword(7) | Evidence Based Policy Making |
| Keyword(8) | sharing economy |
| 1st Author's Name | Hiroyuki Ogura |
| 1st Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
| 2nd Author's Name | Shunsuke Managi |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Masahiko Ishino |
| 3rd Author's Affiliation | Bunkyo University (Bunkyo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-12-01 14:15:00 |
| Presentation Time | 30 minutes |
| Registration for | SWIM |
| Paper # | SWIM2018-16 |
| Volume (vol) | vol.118 |
| Number (no) | no.333 |
| Page | pp.1-8 |
| #Pages | 8 |
| Date of Issue | 2018-11-24 (SWIM) |
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