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 ...
Abstract: In this work, we propose a data-driven reduced-order model (ROM) for high dimensional flow fields by combining flow modal decomposition and multiple regression. Singular value ...
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