This model is identical to
Buildings.Controls.Predictors.Validation.SineInput,
except that the input client.PCon is linear in the temperature.
This model has been added to the library to verify and demonstrate the correct implementation of the baseline prediction model based on a simple input scenario. Note that in the first day, no prediction is made as no historical data are available. In the second day, the prediction differs from the actual (linearly increasing) consumption because only one data point exists for the respective sampling interval, and hence the linear regression is underdetermined. In the third day, the prediction starts as correct because two data points exist for each sampling interval. Later in the third day, there is again a prediction error as the second day was an event day and hence no data was recorded once the event day signal has been received and until midnight the same day.
Sampler to avoid a translation warning
because Sampler.firstTrigger does not set the fixed
attribute in MSL 3.2.1.