Lifestyle Analysis from Household Electricity Consumption Data

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, understan...

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Bibliographic Details
Published inJournal of advanced computational intelligence and intelligent informatics Vol. 24; no. 2; pp. 214 - 220
Main Authors Shirai, Yu, Hattori, Shunichi, Takama, Yasufumi
Format Journal Article
LanguageEnglish
Published Tokyo Fuji Technology Press Co. Ltd 20.03.2020
Subjects
Electricity consumption
Electricity meters
Ground truth
Lifestyles
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Summary: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.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2020.p0214