Automatic extraction of basic electricity consumption patterns in household

Haoyang Shen*, Hideitsu Hino, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Electricity consumption in households varies dependent on a lot of possible reasons such as lifestyle, family configuration, and weather. It is of great importance to optimize the electricity generation system to install for each household. In our previous work, we proposed a clustering approach for extracting a small number of basic electricity consumption patterns in a household. In this study, we apply the method to a larger dataset with many households. In the previous work, we determined the number of basic patterns in a heuristic manner. In this work, we use gap statistics to automatically determine an appropriate number of basic patterns, and we obtained a reasonable result on a large-scale data.

本文言語English
ホスト出版物のタイトル2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012
DOI
出版ステータスPublished - 2012 12 1
イベント1st International Conference on Renewable Energy Research and Applications, ICRERA 2012 - Nagasaki, Japan
継続期間: 2012 11 112012 11 14

出版物シリーズ

名前2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012

Conference

Conference1st International Conference on Renewable Energy Research and Applications, ICRERA 2012
国/地域Japan
CityNagasaki
Period12/11/1112/11/14

ASJC Scopus subject areas

  • 再生可能エネルギー、持続可能性、環境

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