This example applies the load prediction to the heating load of
BESTEST case 600. On the right hand side of the model is the load
prediction. It is configured to compute a regression based on the
outdoor temperature. The output of the load prediction is compared
with the actual heating power. This comparison is done in the block
preErr which outputs the prediction error, normalized
by the roughly the maximum heating power.
The figure below shows the predicted and simulated heating power, and the normalized prediction error.
