International Workshop on Software Engineering Challenges for the Smart Grid
ICSE 2012 International Workshop on Software
Engineering Challenges for the Smart Grid
June 3, 2012 in Zurich, Switzerland
The smart grid encompasses a business strategy within the electric utility industry for incorporating intelligence in the power distribution network. The smart grid will create the capabilities to handle the challenges of increasing complexity in the bulk power grid, to respond to demand growth, support renewable energy sources and satisfy the requirements for enhanced, adaptive service quality. Achieving these goals requires a framework for the cohesive integration of communication and information technologies, interconnected in a complex energy and information real-time control network. This framework must provide the principle properties of smart grids, including self-healing, security, availability and responsiveness to demand and supply variability.
However, the realization of these benefits requires a major sustained effort from the power and software industry. This effort must deliver software solutions that operate in real-time for the purposes of metering, communication, monitoring and control. Collectively, these emerging solutions pose a broad range of software engineering (SE) challenges, creating the need for members of the SE research community to interact with the power engineering community to address these issues. This workshop will facilitate this collaboration by bringing together members of these communities. They will be able to share perspectives and present findings from research and practice relevant to smart grid software and services. The goal of the workshop is to generate and publish a research agenda for improved tools, techniques, advanced computing capabilities (such as high performance and cloud computing), and standard-based open distributed architectures for smart grid software engineering.
This workshop will focus on understanding and identifying the unique challenges and opportunities for Software Engineering (SE) to contribute to and enhance the design and development of the smart grid. In smart grids, the geographical scale, requirements on real-time performance and reliability, and diversity of application functionality all combine to produce a unique, highly demanding problem domain for SE to address. The objective of this workshop is to bring together members of the SE community and the power engineering community to understand these requirements and determine the most appropriate SE tools, methods and techniques.
SE4SG workshop is interested in submissions on all topics related to identifing and developing appropriate methods, tools and techniques for smart grid software. Specifically, we will focus on:
- Applications that support power engineering operations. Such applications include, but are not limited to, complex event processing systems for managing and manipulating large amounts of real-time sensor data, and systems that provide infrastructure for metering, analysis, decision support and control applications;
- Software and enterprise architectures tailored for smart grids, including the challenges of the Smart Grid as an ultra-large-scale system;
- Designing applications with advanced computing capabilities. This requires understanding the implications of, for example, exploiting cloud computing and high performance, multicore computing platforms for computationally intensive smart grid functions;
- Designing simulation frameworks targeting smart grids. These can model designs and predict system properties, such as responsiveness and availability, based on simulated and historical data;
- Methodologies that apply advanced SE approaches to analyze and improve the properties of smart grid applications. These include model-driven development, self-managing and adaptive software systems, and quality reasoning and evaluation frameworks;
- Standards-based distributed architecture solutions and reference architectures that enable open interfaces with plug-and-play hardware and software components;
- The design and analysis of robust, scalable security frameworks for the smart grid;
- Approaches to modeling and monitoring the system-wide performance, scalability and/or other quality properties of the smart grid software framework;
- Software engineering approaches for business-IT alignment for smart grids.
- Paper submission : Feb 24, 2012 (Extended)
- Acceptance notification : Mar 19, 2012
- Camera ready copy : Mar 29, 2012
- Advance registration : TBA
- Workshop : Jun 3, 2012
All papers should be submitted through easychair: http://www.easychair.org/conferences/?conf=se4sg
- Research papers will be thoroughly reviewed for novelty, technical quality, scientific soundness and relevance. Full research papers should not exceed 10 pages double column including figures and tables.
- Experience report papers cover innovative implementations, novel applications of smart grid related technologies, interesting results and experience in applying recent SE research advances to industrial situations on any of the topics of interest. Papers should be 6-8 pages double column including figures and tables.
- Vision papers present emerging research challenges and long-term research directions on hot topics of interest relevant to the smart grid domain. Submissions of papers should be 4 pages.
All papers must conform, at time of submission, to the ICSE 2012 paper formatting guidelines. Please use either the Word Template or the LaTeX package provided by IEEE CS. (In some browsers, an empty page will display when clicking these links. Nevertheless, the documents will download; check your download folder.) Make sure that you use US letter page format (don't use A4!). Submissions must be in PDF format. Author names and affiliations shall not be suppressed on the title page of the paper.
Alberto Avritzer, Siemens, USA
Dave Bakken, WSU, USA
Len Bass, NICTA, Australia
Junwei Cao, Tshinghua Univ., China
Hong-Mei Chen, UHawaii, USA
James Ivers, SEI, USA
Rick Kazman, SEI, USA
Sebastian Lehnhoff, Univ. of Oldenburg, Germany
David Levy, Univ. of Sydney, Australia
Daniel Menasche, UFRJ, Brazil
Gabriel Moreno, SEI, USA
Martin Naedele, ABB, Switzerland
Hartmut Schmeck, Karlsruhe Institute of Technology, Germany
Kishor S. Trivedi, Duke Univ., USA
Harald Vogt, SAP Research, Germany
Yun Yang, Swinburne Univ. of Technology, Australia
Ian Gorton, PNNL, USA
Yan Liu, PNNL, USA
Heiko Koziolek, ABB, Germany
For inquiries, please contact Ian Gorton at email@example.com