Hierarchical Multiplicative Model for Characterizing Residential Electricity Consumption
Publication: Journal of Energy Engineering
Volume 144, Issue 3
Abstract
This work presents a hierarchical multiplicative framework for modeling the energy consumption of households. The constituents of the model are a lognormally distributed annual consumption, an annual consumption profile at weekly resolution, a mean weekly consumption profile, and a multiplicative lognormally distributed random variation. Further, the annual and weekly profiles of households are shown to fall naturally into a small number of rather homogeneous groups, identified by the regular decomposition method. The framework is adapted to monitor and compare populations of electricity consumers. On the other hand, it provides a convenient way to produce synthetic traces of household energy consumption with similar stochastic properties as measured traces. It is also shown how additional household information can be utilized to predict both the annual consumption and the random variation of the consumption of a household.
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Published In
Journal of Energy Engineering
Volume 144 • Issue 3 • June 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: May 23, 2017
Accepted: Oct 23, 2017
Published online: Mar 15, 2018
Published in print: Jun 1, 2018
Discussion open until: Aug 15, 2018
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