When we forecast the power load, the forecasting error mainly consists of two parts: the modelling error and the random error [40].
On the other hand, the approximation error modelling, in which statistical properties of the modelling error are utilised instead of a reference measurement, can be used to obtain as good quality reconstructions as the reference approach.
The modelling error refers to the difference between the model fitting value and the true value.
First, the causes of SOC errors, for example, modelling error and uncertain initial error, are studied.
While it's possible that there could be a large enough modelling error to allow the result of the ban failing, it is unlikely.
The modelling error variance is also estimated during the inversion procedure.
However, the simplification produces a modelling error, which deteriorates the ANC performance.
In such a situation, control of both modelling error and discretisation error for the quantities of interest is required.
Robustness to modelling error can also be treated in the same geometric framework.
The modelling error mainly stems from the assumption made about the heat flux distribution within the contact zones.
