A Survey of Deep Learning and Its Application in Distribution Network
Xiaomin Yin, Xiandong Li, Yan Zhang, Tao Zhang, Lu Chunhui, Qian Ai, Zhaoyu Li, Ziru Sun · 2020
With the availability of data and improvement of computation ability, deep learning methods are promising in many areas. Due to the wide deployment of sensors and smart meters in distribution network, abundant data can be obtained, which provides the potential for the application of deep learning in distribution network. In this paper, concept and typical structures of deep learning networks are discussed. Meanwhile, several applications of deep learning in distribution network are summarized. Finally, challenges and prospects are proposed.