An Overview of Deep Learning Applications in Distribution Network

In recent years, deep learning has gained wide attention and application in the field of intelligent distribution network because of its excellent data processing ability and automatic feature extraction ability. This paper gives a systematic review of the application of deep learning in distribution network, covering load forecasting, fault detection and diagnosis, state estimation, voltage and frequency control, Electric vehicle charging, and energy management. Through the analysis of relevant research and practical applications, this paper describes the significant advantages and disadvantages of deep learning in distribution network applications. Finally, this paper analyzes the future development direction of deep learning in distribution network applications. The purpose of this paper is to provide references for researchers and engineers in related fields and promote the deep application and development of deep learning in distribution network.