SE4SG 2013 - 2nd International Workshop on Software Engineering Challenges for the Smart Grid (SE4SG 2013)

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.
Topics of Interest
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.