Oxygen isotopes data enable researchers to look far back into the geologic past and reconstruct the climate of the past. In ...
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: Low-voltage distribution networks (LVDNs) have witnessed an increasing penetration of distributed photovoltaics (PVs), which exacerbates the existing voltage violation and voltage unbalance ...