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The average modelling error has been reduced to 10.71%.
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There errors has been corrected.
Besides, in order to minimize the modelling error on initial state, a prior-knowledge learning method has been proposed to get the initial parameters for control model estimation.
The significant increase of the modelling error is due to the low load level and the high fluctuation of substation loads, which has been discussed in Sect.
The modelling error refers to the difference between the model fitting value and the true value.
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 average modelling error is 7.64%, forecasting error 14.96%, and random error 7.32%.
First, the causes of SOC errors, for example, modelling error and uncertain initial error, are studied.
But on the other hand, the modelling error is 2.35% and becomes the major part of the forecasting error.
Suppose the modelling error in time t is v t m, and the random error is v t r.
When we forecast the power load, the forecasting error mainly consists of two parts: the modelling error and the random error [40].
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