Automatic extraction of basic electricity consumption patterns in household

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012
DOIs
Publication statusPublished - 2012 Dec 1
Event1st International Conference on Renewable Energy Research and Applications, ICRERA 2012 - Nagasaki, Japan
Duration: 2012 Nov 112012 Nov 14

Publication series

Name2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012

Conference

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

Keywords

  • Gaussian mixture model
  • KL-divergence
  • energy consumption pattern
  • hierarchical clustering

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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