Using Data Analytics to Understand Electrical Consumption Patterns of Residential Buildings
Publication: Journal of Architectural Engineering
Volume 26, Issue 1
Abstract
Buildings are complex systems whose energy consumption depends on the interplay of multiple physical and human factors. This paper explored the performance of single-family detached dwellings using the tools of data analytics. The goals of this work were to understand and eventually to predict electrical energy consumption in order to develop strategies to reduce both peak power consumption and annual energy consumption in the residential building sector. Results showed that the year in which a dwelling was built combined with primary heating source is a significant predictor of electricity use.
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Acknowledgments
We thank the American Public Power Association and our local utility, New River Light and Power, for support of this research through their DEED (Demonstration of Energy and Efficiency Development) grant program. We also thank our graduate students Daniel Paprocki, Dalton Stout, and Lucas Stinson for assisting in the data collection, cleaning, and analysis for this project.
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Published In
Journal of Architectural Engineering
Volume 26 • Issue 1 • March 2020
Copyright
©2019 American Society of Civil Engineers.
History
Received: Aug 23, 2018
Accepted: Jun 3, 2019
Published online: Dec 9, 2019
Published in print: Mar 1, 2020
Discussion open until: May 9, 2020
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