A method for evaluating options for motif detection in electricity meter data
Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden
TL;DR
This paper proposes a new method for evaluating motif detection techniques in electricity meter data to better understand household usage patterns and improve demand side management strategies.
Contribution
It introduces a novel evaluation method specifically designed for motif detection in electricity consumption data, enhancing analysis accuracy.
Findings
Improved detection of household usage patterns
Enhanced targeting of demand side management
Better understanding of electricity consumption behaviors
Abstract
Investigation of household electricity usage patterns, and matching the patterns to behaviours, is an important area of research given the centrality of such patterns in addressing the needs of the electricity industry. Additional knowledge of household behaviours will allow more effective targeting of demand side management (DSM) techniques.
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Taxonomy
TopicsSmart Grid Energy Management · Time Series Analysis and Forecasting · Human Mobility and Location-Based Analysis