Abstract: Traffic congestion is a pressing issue worldwide, and machine learning (ML) methods are increasingly being used in Intelligent Transportation Systems (ITS) to address this problem. Deep ...
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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