AI-enabled data analytics and control for power system IoT framework

While IoT systems are being deployed to benefit the power systems and the customers, they are generating a tremendous volume of data from the grid's edge. This can be utilized to further improve the situation awareness and operation of the grid. This panel session will discuss the emerging AI analytics methods for managing such exponentially increasing data for power systems' IoT frameworks, from both grid and demand-side points of view. Specifically, this will include novel machine learning techniques employed to analyze data and control IoT systems at different network layers (e.g., edge devices and cloud servers) and architectures (e.g., blockchain and distributed systems), as well as how these emerging techniques can benefit the operation of the bulk power grid in terms of stability and reliability.