Special Session 34: 

Cyber-Physical Data Analytics and Security in Energy and Environment Systems

WenZhan Song
University of Georgia
USA
Co-Author(s):    
Abstract:
This talk will present several research opportunities and case studies of Cyber-physical Data Analytics and Security in energy and environment systems. We will present an innovative Real-time In-situ Seismic Imaging (RISI) system design that has vast application in oil/gas extraction and environment safety. It is a smart sensor network that senses and computes the 3D subsurface imaging in real-time and continuously. Instead of data collection then post processing, the mesh network performs the distributed data processing and tomographic inversion computing under the severe bandwidth and resource constraints, and generates an evolving 3D subsurface image as more data arrives. A RISI system is essentially a ``Subsurface Camera`` that is a groundbreaking technology and has never been attempted before. We will also briefly discuss several smart grid analytics and security problems. With the integration of advanced computing and communication technologies, Smart Grid holds the promise as the next-generation energy critical infrastructure - efficient, resilient and sustainable. To achieve that end, significant research challenges and opportunities need to be addressed, such as security attacks and countermeasures, fault identification and restoration, demand response and microgrid cooperative controls.