[smartpower-interest] CFP: SC11, 1st International Workshop on High Performance Computing, Networking and Analytics for the Power Grid

"Akyol, Bora A" <bora@pnnl.gov> Mon, 25 July 2011 18:11 UTC

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From: "Akyol, Bora A" <bora@pnnl.gov>
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Date: Mon, 25 Jul 2011 11:11:18 -0700
Thread-Topic: SC11, 1st International Workshop on High Performance Computing, Networking and Analytics for the Power Grid
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Subject: [smartpower-interest] CFP: SC11, 1st International Workshop on High Performance Computing, Networking and Analytics for the Power Grid
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SC11

									
									
									
										
										
																																					
                   
                   
    1st International Workshop on High Performance Computing,
Networking and Analytics for the Power GridSeattle, WA, USA, November 13,
2011


Workshop

Sensor deployments on the grid are expected to increase geometrically
 in the immediate future, while the demand for clean energy generation
is driving the use of non-dispatchable power sources, such as solar and
wind. New demands are being placed on the power infrastructure due to
the introduction of plug-in vehicles. These trends reinforce the need
for higher fidelity simulation of power grids, and higher frequency
measurement of their state.

Traditional grid simulation and monitoring tools cannot handle the
increased amounts of sensor data or computation imposed by these trends.
 The use of high performance computing and networking technologies is of
 paramount importance for the future power grid, particularly for its
stable operation in the presence of intermittent generation and
increased demands placed on its infrastructure.
The workshop intends to promote the use of high performance computing
 and networking for power grid applications. Technological and policy
changes make this an urgent priority. Sensor deployments on the grid are
 expected to increase geometrically in the immediate future, while the
demand for clean energy generation is driving the use of
non-dispatchable power sources such as solar and wind. New demands are
being placed on the power infrastructure due to the introduction of
plug-in vehicles. These trends reinforce the need for higher fidelity
simulation of power grids, and higher frequency measurement of their
state.

 Call For Papers


Our expected outcome from the workshop is to promote the use of high
performance computing and networking technologies for power grid
applications. We believe that this is of extreme importance given the
extensive technology deployments and potential disruptions for the power
 grid. Topics of interest for this workshop include:

* HPC applications for the power grid - Novel networking architectures for
the grid
* Sensor networks for the grid
* Use of intelligent sensors for grid applications
* Integration of sensor data streams & HPC applications
* Data-intensive analytics
* Libraries & software frameworks

 
The timeline for submissions is as follows:
1. Paper submission deadline: 09/01/11
2. Reviews & decisions due back to authors: 9/16/11
3. Camera-ready papers due: 10/01/11
4. Workshop: 11/13/11

To submit papers, please follow the instructions at the Submission link:
https://www.easychair.org/conferences/?conf=hipcnapg2011.
For further questions, please contact hipcnapg2011@easychair.org

Program Committee:

Daniel Chavarría: daniel.chavarria@pnnl.gov (chair)
Daniel Kirschen
Boming Zhang
Terry Oliver
Bora Akyol
Henry Huang
Jeff Dagle
Mihai Anitescu
David Bakken
Patrick Panciatici
Gilbert Bindewald


 FPGI

This workshop is sponsored in part by the Future Power Grid
Initiative (FPGI), a laboratory directed research & development
initiative at the Pacific Northwest National Lab (PNNL). The goal of the
 FPGI is to develop the next-generation algorithms and tools for
networking, modeling and simulation, and visualization and decision
support to drive the transformation towards a more reliable and
efficient future power grid. The FPGI technical approach is to combine
PNNL's distinctive capabilities in power systems, data intensive
computing, high performance computing, and visual analytics to address
the complex problems from these real-time and large-scale challenges.

 Contact
Daniel G. Chavarría
Research Scientist
Pacific Northwest National Laboratory
902 Battelle Boulevard
P.O. Box 999, MSIN: J4-30
Richland, WA 99352 USA
Tel.: (509)372-6964
Fax: (509)375-4595
daniel.chavarria@pnnl.gov