Summer School on

Communication Technology and Data Analytics for Future Energy Systems

11. – 15. September 2017 in Passau, Germany


The design of energy systems that can cope with the intermittency of renewable energy sources as well as the lack of flexibility of demand is a crucial societal concern. Recently, several new technologies, such as power-to-heat systems and electrical vehicles, have become ubiquitous, making energy system design even more complex. The new discipline of Energy Informatics (EI) plays a central role in providing a scientific basis for the design of complex energy systems. In addition to exploring technologies for reducing the overall energy demand, it addresses (1) providing a higher extent of consumer flexibility so that more sustainable and locally generated energy is used, (2) increasing the resilience of energy generation and (3) improving the efficiency of new energy systems. It also provides methodologies and technologies to extract and manage information from energy systems. Furthermore, it offers communication and information-processing principles to operate energy systems securely.

The Summer School entitled “Communication Technology and Data Analytics for Future Energy Systems” focuses on providing a strong foundation in the principles of Energy Informatics, with a focus on communication technology, data management, and analytics. The summer school will be a venue for graduate students, researchers and practitioners to learn about and contribute to this field.

The summer school is a joint event of the section „Energy Informatics“ within the German Informatics Society (Gesellschaft für Informatik) and the DFG Research Training Group “Energy Status Data – Informatics Methods for its Collection, Analysis and Exploitation” at Karlsruhe Institute of Technology (KIT). Leading researchers in the field of Energy Informatics will give an end-to-end perspective on both the fundamentals as well as advanced topics of communication technology, data management and analytics.


More speakers will be announced soon.


Registration is available via the website of Karlsruhe Institute of Technology (KIT):
Register here!

Primary language for the Summer school will be English, sufficient language skills are expected for participation. Some talks may be offered in German. The number of participants for the summer school is limited and participants are selected through an application process.

If you have any questions regarding the application or encounter any kind of problem, please feel free to contact us via registration ∂

The terms and conditions for the participation are available on a separate page.

Participation Fee

The participation fee for the Summer School is €180. The participation fee includes (from Monday September 11th through Friday September 15th 2017):

The participation fee does not include travel cost, local transportation fares or any accommodation expenses.


The schedule for the event can be viewed and downloaded here

The summer school will feature a mixture of theoretical and practical sessions on Tuesday, Wednesday and Thursday. Monday will open with a keynote and theoretical sessions, while Friday will start with practical sessions and conclude the event with an end note. Several poster sessions will give participants opportunities to talk about their own research and exchange ideas and feedback with other researchers in their field. This exchange can of course be continued in a social event (conference dinner).


University of Passau

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Passau is a city located in Lower Bavaria, Germany next to the border to Austria at the meeting point of the rivers Danube, Inn and Ilz.

The University of Passau has around 12,000 students and doctoral researchers. The Faculty of Computer Science and Mathematics has 18 professors and encompasses 4 institutes with focuses ranging from theoretical computer science and software engineering to information systems, IT Security and technical applications of computer science (computer engineering).

The summer school is co-organized by the Chair of Computer Networks and Computer Communications led by Professor Hermann de Meer. The chair's research focuses (amongst others) on the topics of energy efficient systems and communication systems.

German Informatics Society (GI)

The German Informatics Society (GI) is the largest German-speaking non-profit association for computer science. It is comprised of computer scientists from both academia as well as industry and is involved in the formal education in schools and universities. The GI provides possibilities for knowledge exchange and collaboration amongst peers and furthers computer science education. The members are structured in regional groups (“Regionalgruppen”) and topically into technical groups with focuses ranging from Computer Science Foundations to Databases and Information Systems, Communication Systems, and Software Engineering.

Research Training Group "Energy Status Data – Informatics Methods for its Collection, Analysis and Exploitation"

The research-training group is funded by the German National Science Foundation (DFG) with funds from the Federal Government and the German states. It has started on May 1st 2016 and has a duration of 4.5 years.

An essential aspect is the consumption of energy, particularly of complex systems such as factories or IT infrastructures. Important points are the flexibilization of energy consumption, so that the share of locally generated 'green' energy increases, robustness of energy provisioning, or the efficient design of new energy systems serving these purposes. To accomplish this, a core prerequisite is a structured collection, storage and analysis of energy status data. Energy status data describes the provisioning of energy, its storage, transmission and consumption, be it the outcomes of measurements, be it metadata such as the extent of fatigue of batteries, be it other relevant data such as electricity rates.

This Research Training Group targets at the handling of energy-status data. To this end, an interdisciplinary approach (computer science, engineering, economics, law) is indispensable. It reveals new scientific challenges our Ph.D. students are confronted with as part of their education. For instance, we have observed that different planning and control purposes require data of different temporal resolution and at different aggregation levels. This varying granularity leads to the question how to find outliers in such data at the right level of abstraction. Other graduates benefit from new approaches that detect such outliers. They can now work more efficiently, e.g., can identify shortcomings of existing models of energy systems systematically. An example of such a model would be one describing the behavior of Li-Ion batteries. The infrastructure for energy research of the KIT Helmholtz sector such as the EnergyLab 2.0 will be subject/object of the Research Training Group to a significant extent; the persons responsible for these facilities are part of the principal investigators of this Research Training Group.


If you have any questions regarding the summer school, please feel free to contact us via mail: info ∂