Learning to Acquire Knowledge in a Smart Grid Environment

In a smart grid, a massive amount of data is collected by millions of sensors and meters on the transmission, distribution, and customers' facilities. There is a strong dependence of the smart grid on the information and communications technology for its monitoring and control. As a result, the cyber systems are also an important source of information. This presentation will be focused on the opportunities and challenges for machine learning and knowledge discovery in a smart grid environment. The application areas of (1) anomaly detection for cyber and physical security, and (2) intelligent remedial control of power grids will be used as examples.