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From:
Tammie Dudley <[log in to unmask]>
Reply To:
MS Student <[log in to unmask]>
Date:
Mon, 31 Oct 2011 15:09:18 -0400
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Dear All

-----------------------------------------
Departmental Colloquium
(11 a.m.-12:30 p.m., 11/11/2011, Friday, Department Conference Room)
http://www.cs.gsu.edu/?q=node/486

Dr. Lang Tong
Irwin and Joan Jacobs Professor in Engineering
School of Electrical and Computer Engineering
Cornell University
Ithaca
New York

Home energy management (HEM) is a key component in the future smart grid aimed at high efficiency and a greater integration of renewable sources. In this talk, we consider the problem of optimal control of appliances by an HEM device that serves as an interface with an energy aggregator through real-time pricing and the specification of load profile. A multi-scale multi-stage stochastic optimization framework is proposed for the control of a heating, ventilation, and air conditioning (HVAC) unit, the charging of a plug-in hybrid electric vehicle (PHEV), and the scheduling of deferrable loads such as washer/dryer operations. Formulated as a constrained stochastic optimization that incorporates thermal dynamics, temperature measurements, and the real-time pricing signal, a model predictive control algorithm is proposed that minimizes customer discomfort level subject to cost and peak power constraints.

This is joint work with L. Jia and Z. Yu at Cornell and M. Murphy-Hoye, E. Piccioli, and A. Pratt at Intel.

About the Speaker: Lang Tong joined Cornell University in 1998 where he is now the Irwin and Joan Jacobs Professor in Engineering and the Cornell site director of the Power Systems Engineering Research Center (PSerc). His research is in the general area of statistical signal processing, communications, and complex networks. Using theories and tools from statistical inferences, information theory, and stochastic processes, he is interested in fundamental and practical issues that arise from wireless communications, security, and complex networks, including power and energy networks and smart grids.

Lang Tong is a Fellow of the IEEE. He received the 2004 Best Paper Award from the IEEE Signal Processing Society, the 2004 Leonard G. Abraham Prize Paper Award from the IEEE Communications Society, and the 1993 Outstanding Young Author Award from the IEEE Circuits and Systems Society. He is a coauthor of seven student paper awards, including two IEEE Signal Processing Society Young Author Best Paper Awards (Qing Zhao in 2000 and Animashree Anandkumar in 2008) for papers published in the IEEE Transactions on Signal Processing. He was named a 2009 Distinguished Lecturer by the IEEE Signal Processing Society. He was the recipient of the 1996 Young Investigator Award from the Office of Naval Research.

Lang Tong received the B.E. degree from Tsinghua University, Beijing, P.R. China in 1985, and Ph.D. degree in EE from the University of Notre Dame, Notre Dame, Indiana, in 1991. He was a Postdoctoral Research Affiliate at the Information Systems Laboratory, Stanford University, in 1991.

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