| Presentation | 2021-07-16 Diagnosis of Demand Response: Detection of Defaulting Participants by Using Prior Knowledge Fangyuan Xu, Shun-ichi Azuma, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Demand response (DR) is a mechanism provided by the aggregator to encourage participants to reduce their electricity demand in exchange for rewards. To obtain high-quality negawatt energy, each participant has to provide a pre-determined amount of negawatt energy. However, in fact, there might be some participants default on providing their scheduled negawatt energy. Therefore, one of the functions of the aggregator is to detect the defaulting participants. In this paper, we introduce our recent results on the diagnosis of DR [1], [2]. The proposed method is based on block-sparse reconstruction and a few iterative inspections of smart meters. Simulation results suggest that the proposed method has a potential to decrease the number of inspections by more than 97% compared with previous research. [1] F. Xu, S. Azuma, K. Kobayashi, N. Yamaguchi, R. Ariizumi and T. Asai: Detection of Defaulting Participants With Time-Varying Failure Rates in Demand Responses; 21st IFAC World Congress (2020) [2] F. Xu, S. Azuma, K. Kobayashi, N. Yamaguchi, R. Ariizumi and T. Asai: Diagnosis of Demand Response Based on Grouping Participants: A method to increase performance up to 20 times; 第８回 制御部門マルチシンポジウム (2021) |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Demand response / diagnosis / block-sparse reconstruction |
| Paper # | RCC2021-35 |
| Date of Issue | 2021-07-07 (RCC) |
| Conference Information | |
| Committee | RCS / SR / NS / SeMI / RCC |
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| Conference Date | 2021/7/14(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Network Technology of the AI Age, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Suguru Kameda(Hiroshima Univ.) / Akihiro Nakao(Univ. of Tokyo) / Koji Yamamoto(Kyoto Univ.) / HUAN-BANG LI(NICT) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Tetsuya Oishi(NTT) / Kazuya Monden(Hitachi) / Yasunori Owada(NICT) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Mie Univ.) / Osamu Takyu(Tokai Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(NTT) / Tetsuya Oishi(Chuo Univ.) / Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) / Shunichi Azuma(Osaka Univ.) / Koji Ishii(CRIEPI) |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Kotaro Mihara(NTT) / Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Network Systems / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Reliable Communication and Control |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Diagnosis of Demand Response: Detection of Defaulting Participants by Using Prior Knowledge |
| Sub Title (in English) | |
| Keyword(1) | Demand response |
| Keyword(2) | diagnosis |
| Keyword(3) | block-sparse reconstruction |
| 1st Author's Name | Fangyuan Xu |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 2nd Author's Name | Shun-ichi Azuma |
| 2nd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2021-07-16 |
| Paper # | RCC2021-35 |
| Volume (vol) | vol.121 |
| Number (no) | RCC-101 |
| Page | pp.pp.56-58(RCC), |
| #Pages | 3 |
| Date of Issue | 2021-07-07 (RCC) |