Importance

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Abstract

Energy usage data of an indoor climate control system, such as an HVAC system, for a building and ambient temperature data are obtained for a time period of interest with a time resolution that reflects the physically relevant time scales. The data are formed into time series. A fit of the data is performed, by setting the energy usage data as the independent variable to which the ambient temperature data is linearly fit. A fit could be, for instance, an ordinary least squares linear regression, a frequentist regression, a Bayesian regression, or a robust regression. The ambient temperature at the intercept of the fit where the energy usage equals zero is taken as the effective thermostat set point of the indoor climate control system and serves as a surrogate for the effective indoor temperature of the building.

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First Claim