  Power outages caused by extreme weather events due to climate change have
doubled in the United States in the last two decades. Outages pose severe
health risks to over 4.4 million individuals dependent on in-home medical
devices. Data on the number of such individuals residing in a given area is
limited. This study proposes a load disaggregation model to predict the number
of medical devices behind an electric distribution feeder. This data can be
used to inform planning and response. The proposed solution serves as a measure
for climate change adaptation.
