Second International Workshop on Grid Friendly Computing
(GFC 2013)

Held in conjunction with IEEE IGCC 2013
June 26, 2013. Arlington, VA. USA


General Info

The Second International Workshop on Grid Friendly Computing (GFC 2013) is a forum for academic researchers and industry practitioners to share innovative ideas in the intersection of power grids and green computing. This workshop will occupy one day of the 4th International Green Computing Conference (IGCC 2013). All accepted papers will be published in the workshop section of the IGCC 2013 proceedings by the IEEE Computer Society Press and the IEEE online library.


This workshop targets the intersection between computing and the power grid. The so-called "grid friendliness" refers to the enabling technologies which support the power grid's reliability. On one hand, a large number of sensors (phasor measurement units or PMUs) are being deployed to gather the state of the grid in real-time. Scalable data management and online analytics are therefore essential to convert this energy data into actionable grid control. The smart grid must therefore integrate advanced data-intensive computing technologies to be operated efficiently and more reliably.

On the other hand, to power large-scale computing infrastructures (e.g., data centers), energy is drawn on demand from the grid, which is highly complex and fragile. While there has been much exciting research towards unilaterally reducing power consumed by computations and computer systems, the electric utility's cost of facilitating on-demand energy can vary greatly. A fundamental property of the grid is that energy generation and consumption must be matched at all times, and managing this balance is an enormous challenge for utilities. An energy deficiency or surplus can lead to service disruptions or even cause major outages. Exacerbating the grid balancing problem is the integration of intermittent renewable energy sources like solar and wind. Utilities face complications when output from wind or solar farms rapidly ramps in either direction, because the consumers' demand does not change accordingly. Even worse, as distributed generation and transactive energy gains traction, utilities may have even less control over energy management. This workshop will explore the computing challenges, visions, and approaches towards a more robust and reliable futuristic grid.


We solicit paper submissions on topics related to facilitating grid-friendly computing in the following contexts:
  • Synchrophasor (PMU) Integration and Data Management
  • Situational Awareness and Grid Stability
  • Distributed Data Processing and Control
  • Load Shaping on Electric Grids
  • Microgrids and Transactive Energy Mechanisms
  • Advanced Infrastructure for Power Grids
  • Advanced Analytics for Energy Data
  • Grid Security and Privacy
  • Green Data Centers in Spot and Multiregional Energy Markets
  • Enforcing SLAs in Green Data Centers
  • Energy Profiling of Data Center Workloads

Important Dates

Papers Due:   March 25, 2013 April 15, 2013
Author Notification:   April 22, 2013 May 10, 2013
Camera-Ready Papers Due:   May 20, 2013
Workshop:   Wednesday, June 26, 2013

Paper Submission Guidelines

Authors are invited to submit papers with unpublished, original work. Submissions must not exceed 6 pages of double column text using single spaced 10pt font. Submissions should include an abstract, keywords, and the contact of the corresponding author. The submission should follow the template found here: LaTeX or MS Word

To directly access the paper submission site, please go to the EasyChair site. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register and attend the workshop to present the work. Each submitted paper will be peer reviewed and the comments will be provided to the authors. The accepted papers will be published in the workshop proceedings by the IEEE Computer Society Press and IEEE online library.


Workshop Organizers

Program Committee

  • Robert Bass, Portland State University
  • Ted Brekken, Oregon State University
  • Inigo Goiri, Rutgers University
  • Changbin Liu, AT&T Labs - Research
  • Linh T.X. Phan, University of Pennsylvania
  • Vignesh Ravi, AMD
  • Christopher Stewart, The Ohio State University
  • Kai Sun, University of Tennessee
  • Liqiang Wang, University of Wyoming
  • Xinghui Zhao, Washington State University