A Survey on Deep Learning Methods for Security and Privacy in Smart Grid

The smart energy grid was introduced to overcome the weaknesses of traditional power grids. Many agencies have encouraged the use of smart energy grids to control global warming, emergency flexibility, and energy independence scenarios. With the growth of the network, several issues must be provided to ensure the efficiency and reliability of supply for universal use. Different approaches and techniques are used to guarantee the security and privacy of the Smart Grid. In recent years, researchers have tended to use deep learning methods to provide privacy and security frameworks due to the intelligence of the network and the production of big data in Smart Grid. This article surveys the architecture of the Smart Grid and the general concepts of deep learning. It then reviews articles that have somehow used deep learning-based methods in providing and maintaining the security and privacy of the Smart Grid.