The relationship between BAIT and electricity demand using an exemplary home in Austin, Texas, United States, relating to steps (6) and (7) and inputs (v) and (vi) in the workflow. Individual data points show daily-average metered demand in the home, with colours relating to how they are classified by the model. The black line shows the Demand.ninja regression (that is, modelled demand) with change points for when heating and cooling are required ( n =364). The lines labelled T heat and T cool refer to balance point temperature thresholds (°C), line P base refers to baseline or temperature-independent energy demand (kWh) and slopes P heat and P cool are the coefficients for heating and cooling demand (kWh d -1 °C -1 ), which show how much demand increases with falling/rising BAIT.
