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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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
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
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)