Paper Info
Title
Extraction of Basic Patterns of Household Energy Consumption
Abstract
Solar power, wind power, and co-generation (combined heat and power) systems are possible candidate for household power generation. These systems have their advantages and disadvantages. To propose the optimal combination of the power generation systems, the extraction of basic patterns of energy consumption of the house is required. In this study, energy consumption patterns are modeled by mixtures of Gaussian distributions. Then, using the symmetrized Kullback-Leibler divergence as a distance measure of the distributions, the basic pattern of energy consumption is extracted by means of hierarchical clustering. By an experiment using the Annex 42 dataset, it is shown that the proposed method is able to extract typical energy consumption patterns.
Year
DOI
Venue
2011
10.1109/ICMLA.2011.68
ICMLA (2)
Keywords
Field
DocType
energy consumption pattern,household power generation,energy consumption,household energy consumption,gaussian distribution,basic pattern,basic patterns,combined heat,solar power,power generation system,typical energy consumption pattern,wind power,hierarchical clustering,gaussian mixture model,mixture of gaussians,kullback leibler divergence,data model,power generation,renewable energy resource
Hierarchical clustering,Mathematical optimization,Computer science,Solar power,Cogeneration,Energy consumption,Wind power,Electricity generation,Kullback–Leibler divergence,Mixture model
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Haoyang Shen181.33
Hideitsu Hino29925.73
Noboru Murata3855170.36
Shinji Wakao492.10