This paper proposed an ES control based day-ahead optimal scheduling method for the grid-connected MG to address the impact of various electricity market environments.
The rationale for such a dichotomisation is based on day-to-day clinical practice.
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This process was repeated for 4 error model types: uncorrelated errors, autoregressive order 1 AR[1]) based on day, heterogeneous AR(1) (ARH[1]) based on day, or an unstructured error model.
