According to the latest statistical results released by Essential Science Indicators (ESI) in January 2023，School of Electrical Engineering in "International Journal of Electrical & The review paper "Review on deep learning applications in frequency analysis and control of modern power system" published in "Energy Systems" was also selected as ESI highly cited paper and hot paper。Shandong University is the first signing unit and corresponding author unit，Dr. Zhang Yi is the first author，Associate Professor Shi Xiaohan is the corresponding author；Co-authors include Professor Zhang Hengxu、Vladimir Professor Terzija.

With the gradual deepening of the construction of new power systems，Large-scale new energy grid integration leads to major changes in the frequency dynamic behavior of the power system，Power system frequency security and stability analysis and control are major issues and research hotspots facing the current industry。Deep learning is a machine learning technology based on large amounts of data and complex neural network architecture to solve complex problems，It is also increasingly widely used in complex industrial systems such as power systems。The paper focuses on the application of deep learning in frequency analysis and control of modern power systems，Comprehensive and systematic review of the development history of deep learning、Current mainstream development framework、Current status of deep learning applications，And combined with the new challenges faced by frequency analysis and control of modern power systems，Discussed the technical areas where deep learning can further play a role。This article cites 199 documents；Can provide reference for researchers in this field。This paper will be pre-published online in November 2021，Officially published in May 2022，Has been cited 58 times as of early January 2023。