| Presentation | 2017-03-10 Data Mining and Private Information Detection Method using Power Demand Yoshida Masahiro, Imanishi Tomoya, Nishi Hiroaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, detailed power demand information of the building is being aggregated, accompanied by the spread of smart meters. Continuous spread of smart meter will aggregate large amount of data from area in several conditions. In order to utilize these data effectively, feature extraction method that is generic, and law computational cost is required. Therefore, the feature value extraction method for power demand information is proposed in this report. Furthermore, we estimate family structure and floor space from the extracted feature value, and evaluate the proposal method through its estimation accuracy, computational cost, and generality. As the result, we have managed to improve the estimation accuracy compared to the existing method. We have also verified its’ generality by adopting the proposal method to data aggregated from different conditions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Smart meter / Feature extraction / Machine learning |
| Paper # | CPSY2016-143,DC2016-89 |
| Date of Issue | 2017-03-02 (CPSY, DC) |
| Conference Information | |
| Committee | CPSY / DC / IPSJ-SLDM / IPSJ-EMB / IPSJ-ARC |
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| Conference Date | 2017/3/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumejima Island |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ETNET20167 |
| Chair | Yasuhiko Nakashima(NAIST) / Michiko Inoue(NAIST) / Kiyoharu Hamaguchi(Shimane Univ.) |
| Vice Chair | Koji Nakano(Hiroshima Univ.) / Hidetsugu Irie(Univ. of Tokyo) / Satoshi Fukumoto(Tokyo Metropolitan Univ.) |
| Secretary | Koji Nakano(Fujitsu Labs.) / Hidetsugu Irie(NII) / Satoshi Fukumoto(Kyoto Sangyo Univ.) / (Tokyo Inst. of Tech.) / (Toshiba) / (Univ. of Kitakyushu) |
| Assistant | Takeshi Ohkawa(Utsunomiya Univ.) / Shinya Takameda(Hokkaido Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Computer Systems / Technical Committee on Dependable Computing / Special Interest Group on System and LSI Design Methodology / Special Interest Group on Embedded Systems / Special Interest Group on System Architecture |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Data Mining and Private Information Detection Method using Power Demand |
| Sub Title (in English) | |
| Keyword(1) | Smart meter |
| Keyword(2) | Feature extraction |
| Keyword(3) | Machine learning |
| 1st Author's Name | Yoshida Masahiro |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Imanishi Tomoya |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Nishi Hiroaki |
| 3rd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2017-03-10 |
| Paper # | CPSY2016-143,DC2016-89 |
| Volume (vol) | vol.116 |
| Number (no) | CPSY-510,DC-511 |
| Page | pp.pp.285-290(CPSY), pp.285-290(DC), |
| #Pages | 6 |
| Date of Issue | 2017-03-02 (CPSY, DC) |