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Abstract: In this communication, a novel deep learning (DL)-based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep convolutional neural networks ...
Abstract: This paper presents a framework for phasor measurement-based component model validation and calibration in islanded microgrids, with emphasis on grid-forming inverters. Real measurements ...