Learning from hourly household energy consumption: Extracting, visualizing and interpreting household smart meter data

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Abstract

In this paper, we present the Energy Visualization and Insight System for Demand Operations and Management platform (VISDOM), a collection of smart meter data analysis algorithms and visualization tools designed to address the challenge of interpreting patterns in energy data in support of research, utility energy efficiency and demand response programs. We provide an overview of how the system works and examples of usage, followed by a discussion of the potential benefits of using VISDOM to identify and target participants whose electricity consumption is best aligned with the goals of efficiency and demand response programs.

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APA

Borgeson, S., Flora, J. A., Kwac, J., Tan, C. W., & Rajagopal, R. (2015). Learning from hourly household energy consumption: Extracting, visualizing and interpreting household smart meter data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9188, pp. 337–345). Springer Verlag. https://doi.org/10.1007/978-3-319-20889-3_32

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