| Presentation | 2019-11-26 Electrical Power Demand Prediction for Optimizing Balance of Power Demand and Supply in Radio Base Station Difei Miyao, Masayuki Terada, Masaki Nakamura, Kazuhiko Takeno, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the adjustment of power supply and demand is a big issue from the separation of electrical power production from power distribution and transmission. In order to resolve this issue, virtual power plant mechanisms is focused that integrating and controlling energy resources on the customer side. NTT DOCOMO with large storage batteries, huge energy resources is a big customer with potential to be part of virtual power plant mechanisms. However, the batteries, for example Lithium-ion battery is built for keeping power when disasters happen, or decreasing power cost, so it’s not only for adjusting power demand. Therefore, in this paper, in order to know when the power demand will increase or decrease beyond power company expectation, we predicted the large area power demand with various ways, especially machine learning, and evaluated them for power demand and supply urgency. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Green Base Station / Lithium-ion battery / Virtual Power Plant / Wide-area Power Demand Prediction |
| Paper # | EE2019-45,CPM2019-87,OME2019-31 |
| Date of Issue | 2019-11-19 (EE, CPM, OME) |
| Conference Information | |
| Committee | EE / OME / CPM |
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| Conference Date | 2019/11/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Japan Society for the Promotiton of Machine Industry |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tadatoshi Babasaki(NTT Facilities) / Yutaka Majima(Tokyo Inst. of Tech.) / Mayumi Takeyama(Kitami Inst. of Tech.) |
| Vice Chair | Keiichi Hirose(NTT Facilities) / Tadashi Suetsugu(Fukuoka Univ.) / Toshiki Yamada(NICT) / Yuichi Nakamura(Toyohashi Univ. of Tech.) |
| Secretary | Keiichi Hirose(Sojo Univ.) / Tadashi Suetsugu(Nagasaki Inst. of Applied Science) / Toshiki Yamada(Tokyo Inst. of Tech.) / Yuichi Nakamura(Osaka Univ.) |
| Assistant | Takashi Matsushita(NTT-F) / Tetsuya Oshikata(ShinDengen) / Yuu Yonezawa(FUJITSU Advanced Technologies) / Toshihiko Kaji(Tokyo Univ. of Agriculture and Tech.) / Yoshiyuki Seike(Aichi Inst. of Tech.) / Yasuo Kimura(Tokyo Univ. of Tech.) / Tomoaki Terasako(Ehime Univ.) / Fumihiko Hirose(Yamagata Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Energy Engineering in Electronics and Communications / Technical Committee on Organic Molecular Electronics / Technical Committee on Component Parts and Materials |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Electrical Power Demand Prediction for Optimizing Balance of Power Demand and Supply in Radio Base Station |
| Sub Title (in English) | |
| Keyword(1) | Green Base Station |
| Keyword(2) | Lithium-ion battery |
| Keyword(3) | Virtual Power Plant |
| Keyword(4) | Wide-area Power Demand Prediction |
| 1st Author's Name | Difei Miyao |
| 1st Author's Affiliation | NTT Docomo(NTT Docomo) |
| 2nd Author's Name | Masayuki Terada |
| 2nd Author's Affiliation | NTT Docomo(NTT Docomo) |
| 3rd Author's Name | Masaki Nakamura |
| 3rd Author's Affiliation | NTT Docomo(NTT Docomo) |
| 4th Author's Name | Kazuhiko Takeno |
| 4th Author's Affiliation | NTT Docomo(NTT Docomo) |
| Date | 2019-11-26 |
| Paper # | EE2019-45,CPM2019-87,OME2019-31 |
| Volume (vol) | vol.119 |
| Number (no) | EE-309,CPM-310,OME-311 |
| Page | pp.pp.53-55(EE), pp.53-55(CPM), pp.53-55(OME), |
| #Pages | 3 |
| Date of Issue | 2019-11-19 (EE, CPM, OME) |