Wednesday, October 4
8:30 – 18:00 PhD Workshop (invited participants only)
From 19:00 Social dinner PhD Workshop (invited participants only)
 Thursday, October 5
8:30 – 9:00 Conference opening
9:00 – 10:00 Keynote

Big Data Analytics for a Diversity of Buildings
Prof. Kamin Whithehouse (University of Virginia, USA)

10:00 – 10:30 Coffee break
10:30 – 12:00 Session 1: Smart Grid Simulation

Session Chair: Hermann de Meer (University of Passau, DE)

Using Locally Produced Photovoltaic Energy to Charge Electric Vehicles
René Buffat (ETH Zürich, CH), Dominik Bucher (ETH Zürich, CH), Martin Raubal (ETH Zürich, CH)
***Best Paper Award nominee***

Modeling and Simulation of Local Flexibilities and their Effect to the Entire Power System
Lukas Exel (Saarland University, DE), Georg Frey (Saarland University, DE)

Including a Virtual Battery Storage into Thermal Unit Commitment
David Steber (FAU Erlangen-Nürnberg, DE), Marco Pruckner (FAU Erlangen-Nürnberg, DE), Jonas Schlund (FAU Erlangen-Nürnberg, DE), Peter Bazan (FAU Erlangen-Nürnberg, DE), Reinhard German (FAU Erlangen-Nürnberg, DE)

Smart Grid Co-Simulation with MOSAIK and HLA: A Comparison Study
Cornelius Steinbrink (OFFIS – Oldenburg Institute for Information Technology, DE), A. A. van der Meer (Delft University of Technology, NL), Milos Cvetkovic (Delft University of Technology, NL), Davood Babazadeh (OFFIS – Oldenburg Institute for Information Technology, DE), Sebastian Rohjans (Hamburg University of Applied Sciences, DE), Peter Palensky (Delft University of Technology, NL), Sebastian Lehnhoff (OFFIS – Oldenburg Institute for Information Technology, DE)

Result Processing Approaches for Large Smart Grid Co-Simulations
Frank Marten (Fraunhofer IWES, DE), Anna-Lena Mand (Fraunhofer IWES, DE), Andreas Bernard (Fraunhofer IWES, DE), Björn Kolja Mielsch (Fraunhofer IWES, DE), Mike Vogt (Fraunhofer IWES, DE)

12:00 – 12:30 Posters&Demos: 1-minute madness
12:30 – 14:30 Lunch + Poster&Demo session
14:30 – 16:00 Session 2: Classification and Clustering

Session Chair: Andrea Rizzoli (University of Applied Sciences of Southern Switzerland, CH)

NIWM: Non-Intrusive Water Monitoring to Uncover Heat Energy Use in Households
Samuel Schöb (University of Bamberg, DE), Sebastian A. Günther (University of Bamberg, DE), Karl Regensburger (LAGRAR, AT), Thorsten Staake (University of Bamberg, DE)
***Best Paper Award nominee***

PROMT: Predicting Occupancy Presence in Multiple Resolution with Time Shift Agnostic Classification
Fisayo Caleb Sangogboye (University of Southern Denmark, DK), Mikkel Baun Kjærgaard (University of Southern Denmark, DK)

Exploring Zero-Training Algorithms for Occupancy Detection based on Smart Meter Measurements 
Vincent Becker (ETH Zürich, CH), Wilhelm Kleiminger (ETH Zürich, CH)

Phase-Preserving Profile Generation from Measurement Data by Clustering and Performance Analysis
Paul Zehetbauer (AIT – Austrian Institute of Technology, AT), Matthias Stifter (AIT – Austrian Institute of Technology, AT), Bharath Varsh Rao (AIT – Austrian Institute of Technology, AT)

14:30 – 16:30 Tools&Methods Workshop

Room 351 in the main building

16:30 – 18:00 Session 3: Standardization and Model Optimization

Session Chair: Dominik Engel (Salzburg University of Applied Sciences, AT)

Automated Deserializer Generation from CIM Ontologies
Lukas Razik (RWTH Aachen, DE), Markus Mirz (RWTH Aachen, DE), Daniel Knibbe (RWTH Aachen, DE), Stefan Lankes (RWTH Aachen, DE), Antonello Monti (RWTH Aachen, DE)

Integrating Distribution System Operator System Landscapes
Dominik Ascher (TU Munich, DE), Denis Bytschkow (fortiss GmbH, DE)

A Comprehensive Modelling Framework for Demand Side Flexibility in Smart Grids
Lukas Barth (KIT, DE), Nicole Ludwig (KIT, DE), Esther Mengelkamp (KIT, DE), Philipp Staudt (KIT, DE) 
***Best Paper Award nominee***

Efficiently Solving DSM Problems – Are We There Yet?
Marc Schmidt (KIT, DE), Florian Salah (KIT, DE), Christof Weinhardt (KIT, DE)

A Threat Analysis of the Vehicle-to-Grid Charging Protocol ISO 15118 
Kaibin Bao (KIT, DE), Hristo Valev (KIT, DE), Manuela Wagner(KIT, DE), Hartmut Schmeck (KIT, DE)

From 19:00 Social dinner and announcement of the winner of the Best Paper Award.
Restaurant La Lanchetta Lounge Bar & Pinsa.
Friday, October 6
8:45 – 9:00 Welcome session and announcement of Energieinformatik 2018
9:00 – 10:00 Keynote
District Heating, University Collaboration and Black Swans
Wolfgang Korosec (Sankt Galler Stadtwerke, CH)
10:00 – 10:30 Coffee break
10:30 – 12:00 Session 4: Market-Based Load Management: Blockchain, Peak-Shaving and Scenario-Based Optimization

Session Chair: Kai Hufendiek (University of Stuttgart, DE)

Privacy-Preserving Blockchain-Based Electric Vehicle Charging with Dynamic Tariff Decisions
Fabian Knirsch (Salzburg University of Applied Sciences, AT), Andreas Unterweger (Salzburg University of Applied Sciences, AT), Dominik Engel (Salzburg University of Applied Sciences, AT)

A Blockchain-Based Smart Grid: Towards Sustainable Local Energy Markets
Esther Mengelkamp (KIT, DE), Benedikt Notheisen (KIT, DE), Carolin Beer (KIT, DE), David Dauer (FZI Forschungszentrum Informatik Karlsruhe, DE), Christof Weinhardt (KIT, DE)

Exploiting Flexibility in Smart Grids at Scale
Lukas Barth (KIT, DE), Dorothea Wagner (KIT, DE)

Using Demand Side Management and CHP in Renewable Dominated Decentral Energy Systems
Niklas Hartmann (Fraunhofer Institute for Solar Energy Systems ISE, DE), Jessica Thomsen (Fraunhofer Institute for Solar Energy Systems ISE, DE), Natapon Wanapinit (Fraunhofer Institute for Solar Energy Systems ISE, DE)

12:00 – 13:30 Lunch
13:30 – 15:00 Session 5: Market-Based Load Management: Thermal/Distributed Loads

Session Chair: Vlad Coroama (ETH Zurich)

Economic Nonlinear MPC for a Population of Thermostatically Controlled Loads
Nikita Zemtsov (Technical University of Liberec, CZ), Jaroslav Hlava (Technical University of Liberec, CZ), Galina Frantsuzova (Novosibirsk State Technical University, RU), Henrik Madsen (Technical University of Denmark, DK), John Bagterp Jørgensen (Technical University of Denmark, DK)

Understanding Price Functions to Control Domestic Electric Water Heaters for Demand Response
Tobias Lübkert (Hamburg University of Technology, DE), Marcus Venzke (Hamburg University of Technology, DE), Nhat-Vinh Vo (Open University Ho Chi Minh City, VN), Volker Turau (Hamburg University of Technology, DE)

Provision of Frequency Containment Reserve with an Aggregate of Air Handling Units
Julian Rominger (FZI Research Center for Information Technology Karlsruhe, DE), Fabian Kern (FZI Research Center for Information Technology Karlsruhe, DE), Hartmut Schmeck (KIT, DE)

A Market-Based Smart Grid Approach to Doubling the Power Grid Capacity Without Physical Grid Expansion
Joachim Bagemihl (Alpiq AG, CH), Frank Boesner (Alpiq AG, CH), Jens Riesinger (Alpiq AG, CH), Michael Künzli (University of Applied Sciences and Arts Northwestern Switzerland, CH), Gwendolin Wilke (Lucerne University of Applied Sciences and Arts, CH), Gabriela Binder (Lucerne University of Applied Sciences and Arts, CH), Holger Wache (University of Applied Sciences and Arts Northwestern Switzerland, CH), Daniel Laager (EBM – Genossenschaft Elektra Birseck, CH), Jürgen Breit (Stadtwerke Crailsheim, DE), Michael Wurzinger (ZHAW Zurich University of Applied Sciences, CH), Juliana Zapata (ZHAW Zurich University of Applied Sciences, CH), Silvia Ulli-Beer (ZHAW Zurich University of Applied Sciences, CH), Vincent Layec (University of Applied Sciences and Arts Northwestern Switzerland, CH), Thomas Stadler (Xamax AG, CH), Franz Stabauer (ASKI Industrie-Elektronik GmbH, AT)

Shaping Aggregated Load Profiles Based on Optimized Local Scheduling of Home Appliances
Christoph Hunziker (University of Applied Sciences Northwestern Switzerland, CH), Nicola Schulz (University of Applied Sciences Northwestern Switzerland, CH), Holger Wache (University of Applied Sciences Northwestern Switzerland, CH)

15:00 – 15:30 Wrap-up and farewell



Big Data Analytics for a Diversity of Buildings

ABSTRACT: Buildings have profound impact on human health, productivity, comfort, and energy consumption. The performance of buildings could be significantly improved with data analytics on the thousands of sensing and control points that already exist within a typical building. A key challenge, however, is that every building is unique and, as a result, it is difficult to combine data from multiple buildings and perform generalized analysis. In this talk, we will discuss emerging techniques to find and exploit similarity between buildings in order to enable Big Data analytics on buildings.

Prof. Kamin Whitehouse

Kamin Whitehouse’s research lab develops new technologies at the frontier of Cyber-Physical Systems (CPS), including RF sensing, safety-critical wireless communication, wearable sensors, occupancy sensing, smart buildings, and coordinated control of distributed systems and autonomous drones. His team develops techniques at the intersection of signal processing, control theory, and machine learning. The technologies created by these projects have been downloaded 50,000+ times, have been used by over half a dozen companies to create new products, and are currently running in millions of embedded devices around the world. He has patents granted and pending in a range of CPS techniques. Prof. Whitehouse is serving as Director of the Link Lab, whose mission is to enhance excellence in CPS at the University of Virginia. He is a past TPC chair for ACM BuildSys, ACM SenSys, ACM/IEEE IPSN, and EWSN and serves as associate editor of ACM Transactions on Sensor Networks (TOSN) and The PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). He earned a B.A. in Philosophy and a B.S. in Electrical Engineering and Cognitive Science from Rutgers University. He earned a M.S. and Ph.D. in Computer Science from UC Berkeley.


District Heating, University Collaboration and Black Swans

ABSTRACT: From a business perspective research outcome is important, but what matters is impact – how new methods, insights, knowledge derived from a collaboration with a university can contribute to a company’s success and performance. Using an ongoing district heating project as an example, we will take a look at the success factors and obstacles in the collaboration between universities and smaller companies in the energy sector.

Wolfgang Korosec

Wolfgang Korosec was born in Austria and holds a Master’s degree in Mechanical Engineering and Economics from the Vienna University of Technology. He started his professional career in the automotive supplier industry and as a consultant focusing on computer integrated manufacturing. After moving to Switzerland he joined ETH, the top ranked Swiss Federal Institute of Technology in Zurich where he had the unique opportunity to work on many innovative ICT projects during the raise of the Internet and the World Wide Web. Before leaving ETH Wolfgang was a member of the management team of the ICT service organisation, responsible for mobile and desktop computing. Since September 2011 Wolfgang is CIO of Sankt Galler Stadtwerke, a power utility serving electricity, gas, water, heat and telecommunications. Wolfgang is also president of the Swiss Silicon Valley Association, a non-profit Swiss organization promoting technical and managerial exchanges between the Silicon Valley and Switzerland.

Poster and Demo Session

The demonstrators and posters presented during the Poster and Demo Session are listed below. The numbers in parenthesis after the title indicate the number of the booth where the demonstrator/poster can be found during the conference.


Demo Abstract: Demonstration Abstract Demonstration of New Sensor and Actuator Equipment for Distributed Grids (1)
Marcus Meisel (TU Wien, AU), Stefan Kollmann (TU Wien, AU), Stefan Wilker (TU Wien, AU), Alexander Wendt (TU Wien, AU), Lampros Fotiadis, (TU Wien, AU), Friedrich Bauer (TU Wien, AU) and Georg Kienesberger (TU Wien, AU)

Demo Abstract: SmartH2O, Demonstrating the Impact of Gamification Technologies for Saving Water (2)
Andrea-Emilio Rizzoli (IDSIA-USI, CH), Andrea Castelletti (Politecnico di Milano, IT), Piero Fraternali (Politecnico di Milano, IT) and Jasminko Novak (EIPCM, DE)

Demo Abstract: Extracting Eco-Feedback Information from Automatic Activity Tracking to Promote Energy-Efficient Individual Mobility Behavior (3)
Dominik Bucher (ETH Zürich, CH), Francesca Mangili (SUPSI, CH), Claudio Bonesana (SUPSI, CH), David Jonietz (ETH Zürich, CH), Francesca Cellina (SUPSI, CH) and Martin Raubal (ETH Zürich, CH)

Demo Abstract: A Building Energy Management System in the Context of the Smart Grid Traffic Light Concept (4)
Kevin Förderer (FZI, DE) and Hartmut Schmeck (KIT, DE)


Poster Abstract: vGridLab: A Testbed for Virtualized Smart Grids (5)
Boguslaw Jablkowski (TU Dortmund, DE), Markus Kuech, Nils Dorsch (TU Dortmund, DE), Andreas Kubis (TU Dortmund, DE), Olaf Spinczyk (TU Dortmund, DE), Christian Wietfeld (TU Dortmund, DE) and Christian Rehtanz (TU Dortmund, DE)

Poster Abstract: Graph-Theoretic Model for Observability in Multi-Carrier Energy Distribution Networks (6)
Sören Hohmann (KIT, DE), Heiko Maaß (KIT, DE), Carina Mieth (KIT, DE), Martin Pfeifer (KIT,DE), Dorothea Wagner (KIT, DE) and Franziska Wegner(KIT, DE)

Poster Abstract: Is the run-time of domestic appliances predictable? (7)
Patrick T. Huber (Lucerne University of Applied Science and Art, CH), Paul Schmieder (Lucerne University of Applied Science and Art, CH), Mario Gerber (Lucerne University of Applied Science and Art, CH) and Andreas Rumsch (Lucerne University of Applied Science and Art, CH)

Poster Abstract: Implementation of an Extended Generator Subsystem in OpenModelica and Comparative Analysis with DIgSILENT PowerFactory (8)
Michael Kyesswa (KIT, DE), Hüseyin K. Çakmak (KIT, DE), Uwe Kühnapfel (KIT, DE) and Veit Hagenmeyer (KIT, DE)

Poster Abstract: Predicting Heating Energy Demand by Computer Vision (9)
Miroslav Despotovic (University of Applied Sciences Kufstein Tirol, AT), Muntaha Sakeena (St. Pölten University of Applied Sciences, AT), David Koch (University of Applied Sciences Kufstein Tirol, AT),  Mario Döller (University of Applied Sciences Kufstein Tirol, AT) and Matthias Zeppelzauer (University of Applied Sciences Kufstein Tirol, AT)

Poster Abstract: Less energy, more efficiency in server rooms and data centers (10)
Beat Koch (GreenITPLUS GmbH, CH) and Doris Slezak (GreenITPLUS GmbH, CH)

Poster Abstract: Grid-level short-term load forecasting based on disaggregated smart meter data (11)
Maximilian Wurm (ETH Zürich, CH) and Vlad Coroama (ETH Zürich, CH)

Poster Abstract: Economics-Inspired Modeling of Data Centre Power Flexibility (12)
Sonja Klingert (University of Mannheim, DE) and Christian Becker (University of Mannheim, DE)

Poster Abstract: State of Operation Recognition for Heat Pumps from Smart Grid Monitoring Data (13)
Philipp Schuetz (Lucerne University of Applied Sciences and Arts, CH), Roman Durrer (Lucerne University of Applied Sciences and Arts, CH), Damian Gwerder   (Lucerne University of Applied Sciences and Arts, CH),  Martin Geidl (Swisscom Energy Solutions, CH) and Jörg Worlitschek (Lucerne University of Applied Sciences and Arts, CH)

Poster Abstract: SmartStability (14)
Holger Wache (University of Applied Science and Arts Northweastern Switzerland, CH), Michael Künzli (University of Applied Science and Arts Northweastern Switzerland, CH), Nicola Schulz (University of Applied Science and Arts Northweastern Switzerland, CH), Jürg Bichsel (University of Applied Science and Arts Northweastern Switzerland, CH) and Monika Hall (University of Applied Science and Arts Northweastern Switzerland, CH)

Poster Abstract: Real-time Load Prediction with High Velocity Smart Home Data Stream (15)
Christoph Doblander (TU München, DE), Martin Strohbach (AGT International, DE), Holger Ziekow AGT International, DE), and Hans-Arno Jacobsen (TU München, DE)

Poster Abstract: Big Data Beats Engineering in Residential Energy Performance Assessment – A Case Study (16)
Gilbert Fridgen (Research Center Finance & Information Management, DE), Florian Guggenmos (Research Center Finance & Information Management, DE), Christian Regal (Research Center Finance & Information Management, DE)and Marco Schmidt (Research Center Finance & Information Management, DE)

Social dinner

All conference participants are invited to join the social dinner that will be served starting from 7:00 p.m. at the restaurant La Lanchetta Lounge Bar & Pinsa. During the dinner the winner of the Best Paper Award will be announced.

Tools & Methods Workshop

For the last eight years, the PhD workshop Energy Informatics has been a successful forum for young researchers to present their projects, the methods/solutions developed, the tools used in the context of future energy systems. Very different aspects of Energy Informatics (EI) have been addressed over these years, from specific applications such as grid operation, EV charging management or VPP scheduling to systematic topics and architectures like prototyping platforms and standardization processes. Whereas most of the former workshop participants have finished their thesis and are now pursuing interesting careers in EI, some of the tools and methods developed during that work have persisted and since then been further enhanced and established in the respective research groups’ set of tools and methods, i.e. the state of the art in Smart Grid research.

In this workshop on “Tools and methods in Smart Grid research” we aim at presenting some of these in the form of “best practice“ examples. For this reason, we invited EI research groups to present their „bread-and-butter” tools and methods used for Smart Grid research.  The workshop will include the following talks:

The OpSim-environment: Application examples
Dr. Frank Marten, Fraunhofer IWES, Kassel, Germany
In this talk we present “OpSim”, which is a testing and simulation environment for control- and aggregation-strategies in the smart grid. The environment contains a (non)real-time multi-voltage level grid simulation, operation strategies for the distribution- and transmission-grid, as well as a virtual power plant. For arbitrary grid models in Germany, geograpically plausible time series can be provided through “scenario generator” tools. In this workshop we showcase OpSim through some demo examples.

The SGAM-Toolbox revisited: Practical experiences and enhanced implementation
DI Goran Lastro, FH-Salzburg, Austria
In this talk the experiences with the SGAM-Toolbox, a means for modelling Smart Grid applications using a standard based approach, will be presented along with overall reception by the community. Besides depicting some of the key features, like development process guidance and documentation support, an insight in the implementation approach for this and common parts of other supported toolboxes by the institute is given.