Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...
口号：结合蓝图、节点图和代码；打通设计、开发、测试、构建和部署；跨领域开发前端、快速开发 MVP和学习前端的优质选择 ...
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