Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
Abstract: The electric power transmission network (EPTN) can be modeled as a graph of interconnected nodes and edges, referred to as the transmission network graph model (TNGM). The TNGM can be ...
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