[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>
To: "smartpower-interest@ietf.org" <smartpower-interest@ietf.org>
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
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