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Subject:
From:
Tammie Dudley <[log in to unmask]>
Reply To:
MS Student <[log in to unmask]>
Date:
Thu, 10 Nov 2011 15:42:46 -0500
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On 11/10/2011 3:41 PM, Tammie Dudley wrote:
> Dear All
>
> -----------------------------------------
> Reminder:
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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