Ten-Minute Appliance Use and the Context of Energy Demand
Abstract
The question concerns appliance use at ten-minute resolution, clustered by date. The secondary ordinary least squares analysis contains 19,735 observations and uses cluster covariance. The coefficient on T_out is -0.0242, with a 95 percent interval from -0.0367 to -0.0116. Weather and indoor conditions are contextual descriptors, not independently varied treatments. Their conditional association can inform a demand scenario for service design. A context-indexed configuration should still compare actual alternative outcomes. Observed energy variation alone cannot identify the benefit of changing a service capacity or predict another household's demand without transfer evidence. The estimates describe the released collection and its conditioning set. No new data collection, simulator experiment, or deployment-policy evaluation is claimed.
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