Abstract: As a novel fast and effective intelligent algorithm, Broad Learning System (BLS) is popularly used in data classification task. However, the real data are often imbalanced, which makes BLS ...
Construction of an Outlier-Immune Data-Driven Power Flow Model for Model-Absent Distribution Systems
Abstract: For many actual distribution systems, an accurate system model might not be available, so the operator has to fit an approximate power flow model over a set of field measurements. To ...
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