Congratulations to our labmate, Sheng Zou, and his collaborators: C. Ruben, S. Dhulipala, K. Nagaraj,  A. Starke, A. Bretas, A. Zare, and J. McNair!  Their paper,“Hybrid data-driven physics model-based framework for enhanced cyber-physical smart grid security,” was recently accepted to IET Smart Grid Special Issue: Machine Learning in Power Systems.  This paper describes a hybrid data-driven physics model-based framework for real time monitoring in smart grids.  Sheng’s and his co-authors’ work provides a valuable tool which can be utilized to detect and isolate various anomalous events (attacks) on the power-grid.  

Great  job, Sheng!