A Review on Machine Learning Techniques in IoT-Based Smart Grid Applications

The deployment of machine literacy (ML) in the electric structure has been innovated by the arrival of the coming-generation power networks known as the smart grid. A detailed analysis related to smart grids has been performed by this article. The Internet of things (IoT) offers access and is at the heart of these advanced grid architectures. The system’s inter connectivity and requirement for ongoing communication resulted in a vast data flow that necessitates technologies considerably superior to traditional methods for appropriate data analysis and interpretation. In the modern world, cyber security has become a crucial concern in smart grid sophisticated networks, with sensor nodes and the data constituting key targets of cyberattacks. The article critically examines such security challenges and their remedies. The reviews are summarised to provide a succinct image of the practice and prospective future disciplines for industry developments, including existing constraints and feasible remedies, as well as their applicability.