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  4. Energy Informatics 2013

Energy Informatics 2013

For the fourth time, the doctoral workshop "Energy Informatics", organized annually by OFFIS, is dedicated to the role of computer science in the transformation of the energy system. The energy transition with its goals for the conversion of the energy system to sustainable energy sources by 2050 leads to drastic changes in the existing electrical energy supply system and to a paradigm shift in network planning and operation. It is generally assumed that the expansion of historically grown network infrastructure into an ICT-led intelligent network that exploits the flexibility of loads and producers can generate significant economic benefits.

Both technological aspects and consumer involvement play an important role in this transformation process. Therefore, the focus is not only on the development, evaluation and application of new technologies, but also on their interaction with the users of these components. Relevant concepts and components in the energy supply also require consideration and adaptation of regulation in order to fully exploit the potential of the smart grid. The challenges are not limited to the electricity domain, but rather there is an increasing need to tackle the challenges of electricity, gas and heat supply as well as mobility in an integrated manner.

Further information can also be found in the Call for Papers.

Possible Topics:

The workshop "Energy Informatics 2013" is aimed at doctoral students who are engaged in research at the interfaces of information technology, energy technology and the energy industry, and is intended to give them the opportunity to present their current work - from any immature idea to the results of their dissertation - and to discuss it with scientists within the same domain. The workshop programme therefore welcomes long scientific papers as well as project descriptions and working reports in the form of short papers on the following topics, among others:

Algorithms

  • Coordination of decentralized generators and consumers such as supply demand matching and demand side management
  • multi-agent systems, autonomous systems, distributed artificial intelligence, self-organisation procedures
  • Cross-energy approaches in energy system optimization (e.g. power-2-gas, hybrid networks, etc.)

Software and system architectures

  • Information technology integration of decentralised energy systems
  • Standards and information models as well as reference models in the energy industry
  • Communication technologies in the smart grid
  • Data and information models in energy systems

Economic aspects and sustainability

  • Conception, IT implementation and IT support of market mechanisms in the energy industry
  • Business models, electronic services in the smart grid
  • Acceptance and behavioral aspects of market participants
  • Incentive systems, tariff models and pricing mechanisms
  • Economic evaluation of energy systems
  • Regulatory aspects

Reliability, security and confidentiality

  • Collection and use of energy data
  • Achieving an appropriate, uniform level of protection for binding, high-frequency market transactions
  • Aspects of supply quality (integration of information technology and control engineering, requirements regarding stability and real-time)

Modelling and simulation

  • (Co-)simulation approaches for the evaluation of planning and control approaches in the energy sector
  • Modelling of components of electrical energy supply systems
  • Verification of smart grid components

Specific applications

  • Integration and coordination of the charging processes of electric vehicles
  • IT for electric mobility/intermodal mobility systems
  • Services for energy-related driving and operating strategies of electric vehicles
  • Usage approaches for digital household meters
  • Industrial Load Management

Workshop Contributions

German or English contributions describing the dissertation project must be entered directly in the Easychair system in PDF format. The submissions should enable the reviewers to understand the problem of the dissertation and the chosen procedure. Long contributions with a maximum of 12 pages and short contributions with a maximum of 6 pages are accepted. Contributions exceeding this amount will not be accepted. The contributions must reflect the following structure:

  • Incentive
  • Aim of the project
  • Status of the project (planned/already started project, if necessary duration and project embedding)
  • Methodology (scope is a key feature in distinguishing between short and long contributions)
  • Related works
  • First results (only long contributions)
  • First publications, if applicable 

Entries must be submitted in LNI format. Notes on this format and templates for LaTeX can be downloaded here as a ZIP file.

You would like to submit an article in English? Here you will find information on this format and templates as ZIP files for download.

Information on the format of the workshop

  • Number of authors: Entries are submitted exclusively under the authorship of the doctoral candidate. A nomination of the supervising professor is desired.
  • Shepherding process: With the acceptance of a contribution, an intensive and interactive reviewing process begins, which is intended to support the submitters in sharpening and presenting their research and dissertation project: shepherding. Accepted contributions are assigned to individual members of the "Shepherds" program committee, who support the authors "Sheeps" in a multi-stage process of sharpening the presentation of the project. By submitting a contribution to the PhD workshop, the author agrees to participate in this process.
  • Presentation language and duration: Although both German and English contributions are accepted, English is the preferred language for the presentation and discussion of the work. This is to ensure that all domain experts present (invited doctoral students and committee members) can participate in the constructive discussions if possible. The duration of the lecture is 40 minutes for long contributions and 20 minutes for short contributions. The discussion time is 40 min and 20 min respectively.
  • Proceedings: As in the previous workshop, there will be no proceedings, but the focus will be on the discussion. Submitters can thus present high-quality results and later publish constructive suggestions in another medium. The aim of the workshop is to guide the submitters in such a way that the basis for a high-quality submission is created, which can then be published at a conference or in a journal.
  • Cooperation with D-A-CH Energieinformatik and the 39th Annual Conference of the IEEE Industrial Electronics Society (IECON'13): Through the organisational linking of the PhD workshop with D-A-CH Energieinformatik and the IEEE IECON'13 conference, the best submissions (usually long papers) will be given the opportunity to publish the paper in the conference proceedings and to present it at the conference after completion of the shepherding process at the proposal of the programme committee and with the consent of the submitters.

Program Committee:

  • Dietmar Dietrich, TU Wien
  • Wilfried Elmenreich, AAU Klagenfurt
  • Christoph Flath, KIT
  • Lorenz Hilty, Universität Zürich
  • Wolfgang Kastner, TU Wien
  • Sebastian Lehnhoff, OFFIS (Leitung)
  • Friedemann Mattern, ETH Zürich
  • Reinhardt Madlener, RWTH Aachen
  • Herrmann de Meer, Universität Passau
  • Peter Palensky, AIT
  • Christian Rehtanz, TU Dortmund
  • Hartmut Schmeck, KIT
  • Michael Sonnenschein, Universität Oldenburg
  • Jens Strüker, Universität Freiburg
  • Martin Tröschel, OFFIS
  • Clemens van Dinther, ista
  • Anke Weidlich, Hochschule Offenburg
  • Christof Weinhardt, KIT

This workshop takes place under the roof of the GI Division "Energy Information Systems" (WI-EINS) and the Austrian Computer Society (OCG). It is organised by OFFIS - Institute for Computer Science in cooperation with the AIT - Austrian Institute for Technology.

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Contact "Energy Informatics 2013"

Prof. Dr.-Ing. Astrid Nieße
Prof. Dr.-Ing.
Astrid Nieße

Prof. Dr. rer. nat. Sebastian Lehnhoff
Prof. Dr. rer. nat.
Sebastian Lehnhoff

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