| ■論文No. |
|
| ■ページ数 |
8ページ |
■発行日
|
2020/02/01 |
| ■タイトル |
日周期性を持つ線形基底関数モデルによる非監視設備を含むビルの消費電力内訳推定 |
| ■タイトル(英語) |
Energy Disaggregation for Commercial Building with Unmonitored Facilities by Using Diurnal Linear Basis Function Model |
| ■著者名 |
佐藤 冬樹（三菱電機(株) 情報技術総合研究所），大谷 晋一郎（三菱電機(株) 情報技術総合研究所），山口 順之（東京理科大学 電気工学科） |
| ■著者名(英語) |
Fuyuki Sato (Information Technology R&D Center,Mitsubishi Electric Corporation), Shinichiro Otani (Information Technology R&D Center,Mitsubishi Electric Corporation), Nobuyuki Yamaguchi (Department of Electrical Engineering, Tokyo University of Science) |
| ■価格 |
会員 ¥550 一般 ¥770 |
| ■書籍種類 |
論文誌(論文単位) |
| ■グループ名 |
【C】電子・情報・システム部門 |
| ■本誌 |
電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.2 （2020） 特集：エネルギーデータを対象としたIoT，AI活用技術
|
| ■本誌掲載ページ |
137-144ページ |
| ■原稿種別 |
論文／日本語 |
| ■電子版へのリンク |
https://www.jstage.jst.go.jp/article/ieejeiss/140/2/140_137/_article/-char/ja/
|
| ■キーワード |
オフィスビル，エネルギー管理，線形回帰，基底関数，統計モデリング，機械学習 commercial buildings，energy management，linear regression，basis function，statistical modeling，machine learning |
| ■要約(日本語) |
|
| ■要約(英語) |
This paper proposes an energy disaggregation method for the total energy consumption of a commercial building which only has a limited number of facility status monitor points. The method can estimate and identify the energy consumption each monitored and unmonitored facilities utilize through the statuses of monitored facilities. In order to solve a linear regression model with unmonitored facilities, the linear basis function model is applied to the unmonitored facilities. The total energy consumption of unmonitored facilities can be expressed by linear combination of daily periodic Gaussian basis functions. The regression parameters of monitored facilities and the basis functions are determined by the total energy consumption of the building and the operation statuses of monitored facilities. The method is applied to the commercial building which has six monitored air conditioning outdoor units as well as unmonitored facilities including lighting and office automation equipment. The experiment result shows the usefulness of the proposed method. The variable energy consumption of unmonitored facilities can be derived by the basis functions and the estimate accuracy of disaggregated energy consumption is applicative for the energy management. This paper also considers the effectiveness of regularization technique such as Lasso and Ridge. |
| ■版 型 |
A4 |
