Abstract: In this paper, we study the classical Logistic Regression (LR) problem in machine learning. Traditionally, the solving algorithms are based on either the first- or second-order approximation ...
Abstract: This paper frames reactive power device sizing at the point of common coupling as a supervised regression problem grounded in physically consistent data. Operating points are sampled from ...
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