JACIII Vol.24 No.2 pp. 214-220
doi: 10.20965/jaciii.2020.p0214


Lifestyle Analysis from Household Electricity Consumption Data

Yu Shirai*, Shunichi Hattori**, and Yasufumi Takama*

*Graduate School of Systems Design, Tokyo Metropolitan University
6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

**Central Research Institute of Electric Power Industry
2-11-1 Iwadokita, Komae, Tokyo 201-8511, Japan

February 20, 2019
January 27, 2020
March 20, 2020
electricity consumption data, smart meter, lifestyle analysis
Lifestyle Analysis from Household Electricity Consumption Data

The process from inputting data to clustering

This paper aims to analyze the lifestyle of residents from household electricity consumption data. Improving QOL (Quality of Life) of elderlies has attracted attention in a super-aging society. It is known that the lifestyle of a person directly affects his / her health and QOL. Therefore, understanding a lifestyle is expected to be useful for providing various support for improving QOL, such as recommending adequate actions and daily habit. As a means for understanding residents’ lifestyle, this paper focuses on household electricity consumption data, which gets to be available with the spread of smart meters. The analysis is conducted by estimating the time of taking essential actions such as wake up and eating. As the target data has no ground truth, this paper also shows the result of an experiment on the detection of the essential actions. The analysis results reveal several findings which could be useful for improving QOL, such as positive correlation between regularity of dinner time and bedtime.

Cite this article as:
Y. Shirai, S. Hattori, and Y. Takama, “Lifestyle Analysis from Household Electricity Consumption Data,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.2, pp. 214-220, 2020.
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Last updated on Oct. 23, 2020