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A Modeling Framework for Developing Load Profiles in Buildings

Patrick Ozoh, Shapiee Abd-Rahman, Jane Labadin. Published in System Architecture.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Patrick Ozoh, Shapiee Abd-Rahman, Jane Labadin
10.5120/cae2016652152

Patrick Ozoh, Shapiee Abd-Rahman and Jane Labadin. Article: A Modeling Framework for Developing Load Profiles in Buildings. Communications on Applied Electronics 4(9):1-6, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Patrick Ozoh and Shapiee Abd-Rahman and Jane Labadin},
	title = {Article: A Modeling Framework for Developing Load Profiles in Buildings},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {9},
	pages = {1-6},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In this paper, the adapted time-series regression (ATSR) model is used for developing appliance energy usage profiles for a building which utilizes meter readings, and individual appliance usage using data measurements from installed power meter respectively. For this purpose, statistical models were produced for a building as well as for individual appliances. This assists in understanding the usage patterns for all types of appliances and identifies the factors that may affect the pattern. In addition, establishing a general model for a building based on different appliance use will provide more precise data than developing a model based on total consumption for the building. This will provide an insight into the contribution of each appliance on total consumption.

References

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Keywords

ATSR model, usage profiles, meter readings, installed power meter, statistical models.