TY - GEN
T1 - Automatic extraction of basic electricity consumption patterns in household
AU - Shen, Haoyang
AU - Hino, Hideitsu
AU - Murata, Noboru
AU - Wakao, Shinji
AU - Hayashi, Yasuhiro
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
KW - Gaussian mixture model
KW - KL-divergence
KW - energy consumption pattern
KW - hierarchical clustering
UR - http://www.scopus.com/inward/record.url?scp=84876116726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876116726&partnerID=8YFLogxK
U2 - 10.1109/ICRERA.2012.6477336
DO - 10.1109/ICRERA.2012.6477336
M3 - Conference contribution
AN - SCOPUS:84876116726
SN - 9781467323284
T3 - 2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012
BT - 2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012
T2 - 1st International Conference on Renewable Energy Research and Applications, ICRERA 2012
Y2 - 11 November 2012 through 14 November 2012
ER -
