Review of Attention Mechanism in Electric Power Systems

The attention mechanism is first employed in natural language processing areas, such as machine translation, natural language generation, and natural language inference. Combining with deep learning framework, it promotes performances of applications in electric power systems recently. In this article, we first discuss the attention mechanism's principle and its applications in various fields; secondly, we analyze and compare multiple applications and performances in power systems. Finally, it proposes the further development of the attention mechanism.