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                <datestamp>2026-09-15T09:26:12Z</datestamp>
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    <dc:creator>Singh, Ninni</dc:creator>
    <dc:title>Analysis code and derived results for Measuring the Effect of Instrumentation Coverage on Appliance Disclosure Using Gradient-Boosted Trees across 25 Households</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The article asks what a smart meter record reveals about household activity, and shows that the
answer depends heavily on something nobody reports: the fraction of a household&apos;s load that the
dataset actually submeters. Appliances left unmetered still draw power, still reach the aggregate
channel, and there they mask the appliances a classifier is trying to detect. Across 25 households
that fraction ranges from 0.003 to 0.805, and completing a household&apos;s instrumentation raises
measured disclosure in every one of them, by amounts that differ from home to home.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Privacy</dc:subject>
    <dc:contributor>Gunjan, Vinit Kumar</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/7mgw79zynr.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/7mgw79zynr.1</dc:identifier>
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