SIP 2014 - Signal and Information Processing for Energy Exchange and Intelligent Trading(SIP for EXIT)

Desire for a low carbon future and connected digital economy is leading to the trend of localized renewable energy generation at household and enterprise level. It is envisaged that the consumers of electrical energy will play a more active dual role in the future energy marketplace as the producers of energy as well. Through a reliable trading mechanism and dependable network, consumers will be able to trade their own excess renewable energy with each other in a Peer-to-Peer fashion, thus becoming energy producers as well as consumers, i.e., prosumers. There are a number of open scientific issues to be tackled in the management and control of a hybrid energy system comprising heterogeneous networks of various wireless and wired technologies, end-user preferences and life-choices to seamlessly exchange information, trade energy and intelligently reshape their energy use patterns.
This Symposium is a new addition to the IEEE GlobalSIP’14 and will bring together academic and industrial researchers from SIP area to identify and discuss technical challenges and recent results related to SIP for EXIT in smart-grid infrastructure and future wireless network. Submissions are welcome on variety of SIP topics, including but are not limited to:
Energy profiling, modelling, harvesting and trading in smart grid and wireless networks
Privacy and cyber-security in information exchange and energy trading
Distributed and virtually networked micro-macro-grids
Smart metering and efficient energy storage techniques
Energy optimization and dynamic transfer/trading
Economic models, price management and domestic energy market interactions
Role of MapReduce architectures and Big Data in energy exchange and trading
Software defined networking for optimized energy systems
Energy conserving networks and data centers
Energy monitoring and profiling test-beds (home and office/industry)
Keynote Speakers
Prof. Deepa Kundur, University of Toronto, Canada
Title: Cyber-Physical Security of the Smart Grid
Abstract: The scale and complexity of the smart grid, along with its increased connectivity and automation, make the task of its cyber protection challenging. Recently, smart grid researchers and standards bodies have begun to develop technological requirements and potential solutions for protecting cyber infrastructure. However, grid protection remains daunting to asset owners because of resources limitations. Important questions arise when identifying priorities for design and protection: Which cyber components, if compromised, can lead to significant power delivery disruption? What grid topologies are inherently robust to classes of cyber-attack? Is the additional information available through advanced information technology worth the increased security risk? We assert that a key research challenge in addressing these fundamental questions lies in the effective understanding of the cyber-physical synergy of the smart grid. This gives rise to the problem of cyber-physical system security. In this talk, we introduce this emerging problem in the context of the smart grid and present dynamical systems-based frameworks for modeling cyber-physical interactions. We demonstrate how our approaches enable the identification of emergent vulnerabilities and the evaluation of the relative impacts of communication failure on the flow of electricity. The overall framework facilitates more comprehensive risk analysis and guidelines for resilient smart grid development.
Deepa Kundur is a Professor at The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto. A native of Toronto, Canada, she received the B.A.Sc., M.A.Sc., and Ph.D. degrees all in Electrical and Computer Engineering in 1993, 1995, and 1999, respectively, from the University of Toronto.
Dr. Kundur's research interests include cybersecurity of the electric smart grid, cyber-physical system theory, security and privacy of social and sensor networks, multimedia security, and computer forensics. She is an appointed member of the NERC Smart Grid Task Force and the Technical Program Co-Chair for the 2012 IEEE International Workshop on Information Forensics and Security. She has been on several editorial boards and is the recipient of numerous teaching awards. Her research has received paper recognitions at the 2008 INFOCOM Workshop on Mission Critical Networks, the 2011 Cyber Security and Information Intelligence Research Workshop, the 2012 IEEE Canadian Conference on Electrical and Computer Engineering, and the 2013 IEEE Power & Energy Society General Meeting.
Dr. Mark S. Squillante, IBM Thomas J. Watson Research Center, USA.
Title: Stochastic Optimal Control for Dynamic Resource Allocation in Smarter Energy Environments
Abstract: Within a stochastic optimal control framework we consider a general class of dynamic resource allocation problems that arises in a wide variety of smarter energy applications, each of which intrinsically involves resources of different types and demand with uncertainty/variability. The goal is to dynamically allocate capacity for every resource type in order to serve the uncertain/variable demand and maximize the expected net-benefit over a time horizon of interest based on the rewards and costs associated with the different resources. We derive the optimal control policy within a singular control setting, which includes easily implementable algorithms for governing the dynamic adjustments to resource allocation capacities over time. Numerical experiments investigate various issues of both theoretical and practical interest, quantifying the significant benefits of our approach over alternative optimization approaches.
Mark S. Squillante is a Research Staff Member and Manager in the Mathematical Sciences Department at the IBM Thomas J. Watson Research Center, where he leads the Stochastic Processes and Optimization group. He received a Ph.D. degree from the University of Washington. He has been an adjunct faculty member at Columbia University (1991-1996) and a Member of the Technical Staff at Bell Telephone Laboratories (Murray Hill, 1982-1985), and has held visiting positions at various academic institutions. His research interests concern mathematical foundations of the analysis, modeling and optimization of the design and control of complex systems under uncertainty, including stochastic processes, applied probability, stochastic optimization and control, mathematical statistics, queueing theory, algorithms, and stochastic resource allocation/scheduling, with applications in the areas of business analytics and optimization, data analytics, smarter planet technologies, financial analytics, health analytics, smart energy/grid technologies, social media analytics, data-centric and cloud computing, computer systems, communication networks and mobile devices, revenue and risk management, and manufacturing and service operations management.
Dr. Squillante is an elected Fellow of ACM and IEEE, and the author of more than 250 technical papers and more than 30 issued or filed patents. His work has been recognized through The Daniel H. Wagner Prize (INFORMS), 8 best paper awards, 9 keynote/plenary presentations, 11 major IBM technical awards, and 21 IBM invention awards. He is a member of AMS, Bernoulli Society for Mathematical Statistics and Probability, IMS, INFORMS, IFIP W.G. 7.3, and SIAM. He serves on the editorial boards of Operations Research, Performance Evaluation and Stochastic Models, and has chaired/organized several international conferences in applied probability and related applications.
Organizers
General Chairs:
Khalid A. Qaraqe, Texas A&M University at Qatar
Rahim Tafazolli, University of Surrey
Technical Chairs:
Muhammad Zeeshan Shakir, Texas A&M University at Qatar
Muhammad Ali Imran, University of Surrey
Mohammad Asad Rehman Chaudhry; IBM Research, and Hamilton Institute
Contacts
For all inquiries and questions please contact Muhammad Zeeshan Shakir at muhammad.shakir-AT-qatar.tamu.edu