Leading Voices

Prof. Sebastian Lehnhoff

Sebastian Lehnhoff is a Full Professor for Energy Informatics at the University of Olden- burg.

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 the speaker of its Energy R&D division. He is the 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 CTO of openKONSEQUENZe.G. – the registered co-operative industry association for the development of modular open source SCADA/EMS.

He serves as an Executive Committee Member of the ACM Emerging Interest Group on Energy Systems and Informatics (EIG-ENERGY), Steering Committee member of the EIG flagship conference E-Energy (http://www.sigcomm.org/events/eenergy-conference) and as a founding Board Member of SpringerOpen journal on Energy Informatics (https://energyinformatics.springeropen.com).

Prof. Lehnhoff is author of over 150 refereed and peer-reviewed scientific publications.

Prof. Lehnhoff leads one of the largest Energy Informatics research groups in Europe (~70 researchers).

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 pro- cesses.

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 IT-architectures
  • Real-time methods for distribution network automation at lower voltage levels with a focus on ancillary service provision
  • Distributed algorithms for decentralized resource planning (e.g. demand side management/response) within distribution networks to increase operational flexibility
  • Methods and tools for assessing and support of changing ICT-corporate architectures of energy supply protagonists
  • Methods for simulation and automated analysis of large-scale integrated multi- domain energy systems
  • AI-based Smart Grid cyber-resilience measures
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