  Efficient energy consumption is crucial for achieving sustainable energy
goals in the era of climate change and grid modernization. Thus, it is vital to
understand how energy is consumed at finer resolutions such as household in
order to plan demand-response events or analyze the impacts of weather,
electricity prices, electric vehicles, solar, and occupancy schedules on energy
consumption. However, availability and access to detailed energy-use data,
which would enable detailed studies, has been rare. In this paper, we release a
unique, large-scale, synthetic, residential energy-use dataset for the
residential sector across the contiguous United States covering millions of
households. The data comprise of hourly energy use profiles for synthetic
households, disaggregated into Thermostatically Controlled Loads (TCL) and
appliance use. The underlying framework is constructed using a bottom-up
approach. Diverse open-source surveys and first principles models are used for
end-use modeling. Extensive validation of the synthetic dataset has been
conducted through comparisons with reported energy-use data. We present a
detailed, open, high-resolution, residential energy-use dataset for the United
States.
