论文标题
玻璃制造机：用于后故障电网电压预测的查询 - 帕克斯型变压器
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction
论文作者
论文摘要
我们提出了一种新型有效的变压器结构，利用组套索正则化，以减少标准自发机制的查询数量。由于查询的稀疏查询，玻璃化合作在计算上比标准变压器更有效。在电源电网后电压预测任务上，在准确性和稳定性方面，玻璃4种比许多现有基准算法表现出的预测要好得多。
We propose GLassoformer, a novel and efficient transformer architecture leveraging group Lasso regularization to reduce the number of queries of the standard self-attention mechanism. Due to the sparsified queries, GLassoformer is more computationally efficient than the standard transformers. On the power grid post-fault voltage prediction task, GLassoformer shows remarkably better prediction than many existing benchmark algorithms in terms of accuracy and stability.
