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.
Dr. Tom Brown (Frankfurt Institute for Advanced Studies)
Tom Brown completed his BA and MMath in mathematics at the University
of Cambridge in 2004 and 2005 respectively. After a PhD in physics at
Queen Mary, University of London in 2009, he continued his physics
research as a Postdoctoral Researcher at DESY, Germany. In 2012 he
switched fields to work on power systems at consultancy firm
Energynautics GmbH, and since 2015 he has been working as a
Postdoctoral Researcher on the grid integration of renewable energy at
the Frankfurt Institute for Advanced Studies. His research focuses on
system planning for high shares of renewables, including the
requirements for the expansion of the transmission grid, flexibility
options and coupling to other energy sectors such as transport and
heating. He is an advocate of open data and software in the energy
modelling community and is one of the lead developers of the
widely-used free software tool Python for Power System Analysis
Dr. Stephen Haben (University of Oxford)
Stephen Haben is a post-doctoral research associate in the Mathematical Institute at the University of Oxford. He is also a member of the Oxford Centre for Industrial and Applied Mathematics (OCIAM). Since 2014 he has been an active member of the Industrially Focused Mathematical Modelling (InFoMM) CDT.
After completing his undergraduate mathematics degree at the University of Warwick in 2006 he completed a master in modern applications of mathematics at the University of Bath in 2007. In 2011 he achieved his PhD in the conditioning and preconditioning of variational data assimilation problem at the University of Reading before moving to the University of Oxford later in 2013.
His most recent work was as the academic project manager and lead researcher on the £30M low carbon network fund project the “Thames Valley Vision”. On the project, Dr Haben investigated forecasting and mathematical analytical methods for low voltage network demand data for use in a number of applications including scenario forecasting, battery storage control and modelling with limited data.
Since 2012 he has been the co-organiser of 4 low voltage demand workshops which focus on forecasting, control and analytical methods applied to low voltage network demand data. In 2014 he was on a prize winning team for the Global Energy Forecasting Competition 2014. His interests include forecasting, clustering methods, optimization, data assimilation, kernel density estimation, quantile regression and error measures.
Prof. Hans-Arno Jacobsen (Technical University of Munich)
Professor S. Keshav received a B.Tech in Computer Science and Engineering from
IIT Delhi in 1986 and a Ph.D. in Computer Science from the University of California, Berkeley in
1991. He was subsequently a researcher at AT&T Bell Laboratories and, from 1996 to 1999, an
Associate Professor at Cornell University. In 1999 he left academia to co-found Ensim
Corporation and GreenBorder Technologies Inc. He was an Associate Professor at the University of
Waterloo from 2003 to 2008 and has been a Professor since, holding a Canada Research Chair
(2004-14) and the Cisco Chair in Smart Grid (2012-17). An awardee of the Director's Gold Medal
from IIT Delhi, the Sakrison Prize from UC Berkeley, two Test of Time awards from ACM SIGCOMM,
and Best Paper awards at both ACM SIGCOMM and ACM MOBICOM, he is the co-director of the
Information Systems and Science for Energy Laboratory, author of two graduate textbooks on
computer networking, an Alfred P. Sloan Fellow, an ACM Fellow, and currently Chair of ACM
Dr. techn. Friederich Kupzog (Austrian Institute of Technology)
Dipl.-Ing. Dr. techn. Friederich Kupzog holds a Diploma Engineer degree of
electrical engineering and information technology from RWTH Aachen. In 2006, he joined the
Institute of Computer Technology at TU Wien, Austria, where he achieved his PhD Degree in 2008.
Until 2012, he stayed at the university as Post-Doc and built up the research group ”Energy
& IT“ at the Institute of Computer Technology. Since 2012, Dr. Kupzog is Senior Scientist
at the AIT Austrian Institute of Technology GmbH. His research interest lies in verification
methods for networked Smart Grid systems. He coordinates the research field ”Power System
Digitalisation“ within AIT, consisting of research projects together with industry, power
grid operators and other partners.
Dr. Kupzog holds lectures in Smart Grid related topics at Vienna University of Technolgy and
other universities and is active in national (ComForEn) and international (IEEE IECON,
IEEE/CIGRE EDST, D-A-CH Energieinformatik) scientific conference organisation. He was awarded
the Austrian Smart Grid Pioneer Award together with his colleagues in 2010 and 2012.
Prof. Sebastian Lehnhoff (University of Oldenburg)
Sebastian Lehnhoff is a Full Professor for Energy Informatics at the University
of Oldenburg. He received his doctorate at the TU Dortmund University in 2009. Prof. Lehnhoff is
a member of the executive board of the OFFIS Institute for Information Technology and speaker of
its Energy R&D division. He is speaker of the section “Energy Informatics”
within the German Informatics Society (GI), assoc. editor of the IEEE Computer Society’s
Computing and Smart Grid Special Technical Community as well as an active member of numerous
committees and working groups focusing on ICT in future Smart Grids. He is an honorary professor
of the School of Information Technology and Electrical Engineering at the University of
Queensland. Prof. Lehnhoff is elected chair of the of the IEEE CA4EPI Working Group P2030.4, and
chairman of the architecture and quality committee of the openKONSEQUENZ industry consortium for
the development of open source software in power system operation. Prof. Lehnhoff is author of
over 100 refereed and peer-reviewed scientific publications.
His research interests focus on the large-scale integration of decentralized, renewable energy
sources into the electricity supply system in combination with the politically motivated
reorganization of corporate structures and business processes. The Energy Informatics group in
Oldenburg develops ICT-technologies for a future reliable, robust, profitable electricity supply
system based on renewable energies – the Smart Grid. Key issues are:
Open communication standards and data models to ensure the interoperability of
Real-time methods for automating the distribution network to enable distributed plants at
lower voltage levels to provide ancillary services.
Distributed algorithms for decentralized resource planning within distribution networks to
Methods and tools to assess and support changing ICT-corporate architectures of energy
Methods for simulation and automated analysis of large-scale integrated multi-domain energy
Prof. Harmut Schmeck (Karlsruhe Institute of Technology)
Hartmut Schmeck studied at the Universities of Kiel (Germany) and Waterloo
(Canada). He got his academic degrees (Dipl. Inform., Dr.rer.nat., Dr. habil) at Kiel. Since
1991 he is a Full Professor of Applied Informatics at the Karlsruhe Institute of Technology -
KIT. He is (co-)author of more than 200 publications on advanced algorithms and architectures,
in particular on nature-inspired methods in optimisation, algorithms for reconfigurable
architectures, and, more recently, on self-organising, adaptive systems applied to energy and
traffic systems. He has been program and conference chair for numerous international workshops
and conferences and coordinator of the German priority research program SPP 1183 on “Organic
Computing”. As a principal investigator of several cooperative projects in various funding
programmes he is pushing the development of intelligent systems in tomorrow's energy systems and
for electric mobility, shaping the new discipline of “Energy Informatics”, in
particular as a director of the FZI Research Center for Information Technology.
Prof. Anke Weidlich (University of Applied Sciences Offenburg)
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
If you have any questions regarding the application or encounter any kind of problem, please feel free to
contact us via registration ∂ future-energy-systems.org.
The participation fee for the Summer School is €180. The participation fee includes (from Monday
through Friday September
Participation in talks, workshops and practical sessions
Access to summer school materials
Lunch and coffee breaks
Participation in the Summer School dinner (held on one evening only)
The participation fee does not include travel cost, local transportation fares or any accommodation
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
Monday will open with a keynote and theoretical sessions, while Friday will start with practical
and conclude the event with an end note.
Several poster sessions will give participants opportunities to talk about their own research and
ideas and feedback with other researchers in their field.
This exchange can of course be continued in a social event (conference dinner).
Passau is a city located in Lower Bavaria, Germany next to
border to Austria at the meeting point of the rivers Danube, Inn and Ilz.
The University of Passau has around 12,000 students
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 German Informatics Society (GI) is the largest German-speaking
association for computer science.
It is comprised of computer scientists from both academia as well as industry and is involved in the
education in schools and universities.
The GI provides possibilities for knowledge exchange and collaboration amongst peers and furthers
The members are structured in regional groups (“Regionalgruppen”) and topically
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
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
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
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
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
that different planning and control purposes require data of different temporal resolution and at
aggregation levels. This varying granularity leads to the question how to find outliers in such data at
right level of abstraction. Other graduates benefit from new approaches that detect such outliers. They
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 ∂ future-energy-systems.org