Posting this CFP per request of Dr. Hao Zhu.
ORGANIZERS
Dr. Deepa Kundur (General Chair)
Professor
Department of Electrical & Computer, Engineering University of Toronto, Canada
Dr. Abdallah Farraj (Technical Co-Chair)
Postdoctoral Fellow
Department of Electrical and Computer Engineering,University of Toronto, Canada
Dr. Hao Zhu (Technical Co-Chair)
Assistant Professor
Department of Electrical & Computer Engineering, University of Illinois at Urbana Champaign, Illinois, USA
Dr. Nikolaos Gatsis (Technical Co-Chair)
Assistant Professor
Department of Electrical & Computer Engineering, University of Texas at San Antonio, Texas, USA
CALL FOR PAPERS
Energy systems are on the cusp of a rapid technological, economic and environmental evolution. The marriage of information and communication technologies with traditional energy production, delivery and distribution systems, aims to create a more reliable, efficient, environmentally friendly and resilient smart grid. Furthermore, energy system stakeholders expect better consumer centricity and more open and flexible business models. At the heart of many of the technological challenges underlying this vision for a smarter grid is the need for optimization. New problems also arise that will benefit from big data analytics to process data streams from smart meters, smart building sensors, and phasor measurement units amongst other data acquisition systems. In addition, classical signal and information processing algorithms are adaptive to support changing system requirements and grid characteristics. By the same token, the increased penetration of renewable energy generation, distributed storage, and controllable loads such as plug-in-electric vehicles, calls for novel optimal resource management methods that respect user privacy while yield consumer-centric and system-wide benefits. Last but not least, computational and physical constraints within this new technical landscape must be assessed. Hence, it is clear that the study of innovative signal and information processing for optimizing future energy systems is of timely societal importance. This symposium aims to bring together researchers and experts in the field of signal and information processing for improving future energy systems. Emphasis will be placed, in part, on cutting-edge optimization techniques, approaches and theory for cyber-physical energy systems, as well as new analytical insights for traditional and modern power grid problems.
Topics of interest include (but are not limited to):
• Optimal power flow problems and extensions
• Generator scheduling and dispatch
• Grid component placement and transmission system planning
• Cyber-physical control and optimization for security and resilience
• Stochastic optimal control for energy systems and pricing
• Software defined and cognitive networking for optimized and resilient energy systems
• Demand response and real-time pricing
• Robust and stochastic optimization methods for renewable energy management
• Load and renewable energy forecasting
• Power system state estimation
• Power system dynamics and transient analysis
• Load modeling and monitoring
• Measurement-based power system analysis
• Optimization for smart grid data analytics
Submission of Papers: Prospective authors are invited to submit full-length papers, with up to four pages for technical content including figures and possible references, and with one additional optional 5th page containing only references. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. All paper submissions should be carried out through EDAS system (http://edas.info). A selection of best papers and best student papers will be made by the GlobalSIP 2015 best paper award committee upon recommendations from Technical Committees.
Notice: The IEEE Signal Processing Society enforces a “no-show” policy. Any accepted paper included in the final program is expected to have at least one author or qualified proxy attend and present the paper at the conference. Authors of the accepted papers included in the final program who do not attend the conference will be subscribed to a “No-Show List”, compiled by the Society. The “no-show” papers will not be published by IEEE on IEEEXplore or other public access forums, but these papers will be distributed as part of the on-site electronic proceedings and the copyright of these papers will belong to the IEEE.
Timeline for paper submission:
May 15, 2015: Paper submission deadline
June 30, 2015: Review results announced
September 5, 2015: Camera-ready papers due
For inquiries and questions please contact the Symposium Chairs: Nikolaos Gatsis (Nikolaos.Gatsis@utsa.edu), Hao Zhu (haozhu@illinois.edu), Abdallah Farraj (abdallah.farraj@utoronto.ca) or Deepa Kundur (dkundur@ece.utoronto.ca).
GlobalSIP'15 Symposium on
Signal and Information Processing for Optimizing Future Energy Systems
Orlando, Florida, USA, December 14-16, 2015
ORGANIZERS
Dr. Deepa Kundur (General Chair)
Professor
Department of Electrical & Computer, Engineering University of Toronto, Canada
Dr. Abdallah Farraj (Technical Co-Chair)
Postdoctoral Fellow
Department of Electrical and Computer Engineering,University of Toronto, Canada
Dr. Hao Zhu (Technical Co-Chair)
Assistant Professor
Department of Electrical & Computer Engineering, University of Illinois at Urbana Champaign, Illinois, USA
Dr. Nikolaos Gatsis (Technical Co-Chair)
Assistant Professor
Department of Electrical & Computer Engineering, University of Texas at San Antonio, Texas, USA
CALL FOR PAPERS
Energy systems are on the cusp of a rapid technological, economic and environmental evolution. The marriage of information and communication technologies with traditional energy production, delivery and distribution systems, aims to create a more reliable, efficient, environmentally friendly and resilient smart grid. Furthermore, energy system stakeholders expect better consumer centricity and more open and flexible business models. At the heart of many of the technological challenges underlying this vision for a smarter grid is the need for optimization. New problems also arise that will benefit from big data analytics to process data streams from smart meters, smart building sensors, and phasor measurement units amongst other data acquisition systems. In addition, classical signal and information processing algorithms are adaptive to support changing system requirements and grid characteristics. By the same token, the increased penetration of renewable energy generation, distributed storage, and controllable loads such as plug-in-electric vehicles, calls for novel optimal resource management methods that respect user privacy while yield consumer-centric and system-wide benefits. Last but not least, computational and physical constraints within this new technical landscape must be assessed. Hence, it is clear that the study of innovative signal and information processing for optimizing future energy systems is of timely societal importance. This symposium aims to bring together researchers and experts in the field of signal and information processing for improving future energy systems. Emphasis will be placed, in part, on cutting-edge optimization techniques, approaches and theory for cyber-physical energy systems, as well as new analytical insights for traditional and modern power grid problems.
Topics of interest include (but are not limited to):
• Optimal power flow problems and extensions
• Generator scheduling and dispatch
• Grid component placement and transmission system planning
• Cyber-physical control and optimization for security and resilience
• Stochastic optimal control for energy systems and pricing
• Software defined and cognitive networking for optimized and resilient energy systems
• Demand response and real-time pricing
• Robust and stochastic optimization methods for renewable energy management
• Load and renewable energy forecasting
• Power system state estimation
• Power system dynamics and transient analysis
• Load modeling and monitoring
• Measurement-based power system analysis
• Optimization for smart grid data analytics
Submission of Papers: Prospective authors are invited to submit full-length papers, with up to four pages for technical content including figures and possible references, and with one additional optional 5th page containing only references. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. All paper submissions should be carried out through EDAS system (http://edas.info). A selection of best papers and best student papers will be made by the GlobalSIP 2015 best paper award committee upon recommendations from Technical Committees.
Notice: The IEEE Signal Processing Society enforces a “no-show” policy. Any accepted paper included in the final program is expected to have at least one author or qualified proxy attend and present the paper at the conference. Authors of the accepted papers included in the final program who do not attend the conference will be subscribed to a “No-Show List”, compiled by the Society. The “no-show” papers will not be published by IEEE on IEEEXplore or other public access forums, but these papers will be distributed as part of the on-site electronic proceedings and the copyright of these papers will belong to the IEEE.
Timeline for paper submission:
May 15, 2015: Paper submission deadline
June 30, 2015: Review results announced
September 5, 2015: Camera-ready papers due
For inquiries and questions please contact the Symposium Chairs: Nikolaos Gatsis (Nikolaos.Gatsis@utsa.edu), Hao Zhu (haozhu@illinois.edu), Abdallah Farraj (abdallah.farraj@utoronto.ca) or Deepa Kundur (dkundur@ece.utoronto.ca).
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