A new system uses event detection and questionnaire-guided estimation to disaggregate domestic smart meter data into 9 appliance categories, improving the granularity of energy use data.
combining event detection for high-power loads with questionnaire-guided estimation
a smart meter dataset of more than 4,800 years of use from 2,968 Irish consumers
breaks usage data into 9 appliance categories
While this is useful for billing of smart, time-of-use tariffs, it is too coarse to capture use of domestic appliances. We present a label-free disaggregation system that breaks usage data into 9 appliance categories by combining event detection for high-power loads with questionnaire-guided estimation. Our evaluation draws on four datasets: a calibration household with a commercial comparator, t…
