A study on the practical use of smart meter end-user demand data

Geunyeong Park; Donghwi Jung; Sanghoon Jun

doi:10.3741/JKWRA.2021.54.10.759

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2021 Vol.54, Issue 10 Preview Page Next Page

Research Article

A study on the practical use of smart meter end-user demand data 스마트미터 데이터 활용 방법에 대한 연구

31 October 2021. pp. 759-768

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Abstract

This work introduces a new approach that classifies individual household water usage by examining the characteristics of smart meter end-user demand data. Here, one of the most well-known unsupervised machine learning, K-means algorithm, is applied to classify water consumptions by each household. The intensity and duration of end-user demands are used as main features to determine the households with similar water consumption pattern. The results showed that 21 households are classified into 13 clusters with each cluster having one, two, three, or five houses. The reasoning why multiple households are classified into the same cluster is described in this paper with respect to the collected data and end-user water consumption behavior.

Keywords

End-user demand classification

Smart meter

Unsupervised machine learning

Water distribution system

이 연구는 스마트 미터 최종 사용자 수요 데이터의 특성을 조사하여 개별 가정용 물 사용량을 분류하는 새로운 접근방식을 도입한다. 여기서는 잘 알려진 비지도 기계학습법 중 하나인 K-means 알고리즘을 적용하여 각 가구별 물 사용 분류를 수행한다. 최종 사용자 수요의 물 사용강도와 지속시간은 물 수요 패턴이 유사한 가구를 결정하는 주요한 특징으로 사용된다. 그 결과 21가구가 13개의 군집으로 분류되었고 각 군집은 1가구, 2가구, 3가구 또는 5가구로 구성된다. 수집된 데이터 및 최종 사용자의 물 수요 패턴과 관련하여 여러 가구가 동일한 클러스터로 분류되는 이유를 본 논문에서 소개한다.

키워드

최종 사용자 수요 분류

스마트미터

비지도학습법

물 급수 시스템

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Information

Publisher :KOREA WATER RESOURECES ASSOCIATION
Publisher(Ko) :한국수자원학회
Journal Title :Journal of Korea Water Resources Association
Journal Title(Ko) :한국수자원학회 논문집
Volume : 54
No :10
Pages :759-768
Received Date : 2021-06-30
Revised Date : 2021-07-23
Accepted Date : 2021-07-23
DOI :https://doi.org/10.3741/JKWRA.2021.54.10.759

Journal of Korea Water Resources Association ISSN:2799-8746(Print) 2799-8754(Online) 한국수자원학회 논문집

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