In this paper, we propose a method for bracing direction optimization of grid shells using a Deep Deterministic Policy Gradient (DDPG) and Graph Convolutional Network (GCN). DDPG allows simultaneous ...
Introduction: There is a vast literature on the performance of different short-term forecasting models for country specific COVID-19 cases, but much less research with respect to city level cases.
Abstract: Nowadays, accurate battery state-of-health (SoH) forecasting is limited by data-driven models’ poor extrapolation beyond training ranges and high computational latency, especially when only ...
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