Goal
The main goal of this task force is to promote the research on Computational Intelligence methods for their application to the energy production and consumption domain.
Motivation
Sustainability is of great importance due to increasing demands and limited resources worldwide. In particular, in the field of energy production and consumption, methods are required that allow to produce (renewable) energy in an efficient way, as well as to develop methods for the efficient usage of energy. The vast extension of energy sources and the growing information structure allow a fine screening of energy resources, but also require the development of tools for the analysis and understanding of huge datasets about the energy grid. Key technologies in future ecological, economical and reliable energy systems are energy prediction of renewable resources, prediction of consumption as well as efficient planning and control strategies for network stability.

The arising problems can typically not be solved with traditional approaches, which is one of the reasons why computational intelligence methods have taken over a key role for planning, optimizing and forecasting sustainable systems. Typically, these approaches make use of domain knowledge in order to achieve the required goal. However, even in the case that explicit domain knowledge is not available, computational methods can also handle large raw numerical sensory data directly, process them, generate reliable and just-in-time responses, and have high fault tolerance.

Scope
The scope of this task force includes the following topics:
  • Algorithms for modeling, control and optimization
  • Prediction of wind and photovoltaic energy
  • Prediction and monitoring of energy consumption
  • Communication and control
  • Demand side management
  • Distributed energy resources
  • Methods and algorithms for real-time analysis
  • Planning, operation and control
  • Network Restoration
  • Plug-in vehicles
  • Renewable energy
  • Smart micro-grids
  • Smart sensing
Planned, Current and Past Activities
General activities:
  • Promotion of Computational Intelligence methods at the established non-CS conferences, e.g., at the IEEE Power and Energy Society General Meeting, at the IEEE Conference on Industrial Electronics and Applications, and at the IEEE Green Technologies Conference and at the Asia-Pacific Power and Energy Engineering Conference
  • General intentions for the events: invited guests from industry, panel discussions, dedicated networking time slots, dedicated time slots for tool demonstrations
  • Central collection of material online: databases for historical grid failures and the responses to them, for technical data of all sorts (e.g., power grid setups, properties of transformers, initial and running costs, power production/consumption profiles)
  • Tutorial together with AWS Truepower (energy consultants) at a future conference (planning stage)
Resources
Committee
Chair:
Oliver Kramer, Computational Intelligence Group, Carl v. Ossietzky Universität (Chair 2016)
Co-Chairs:
Paul Kaufmann, Computer Engineering Group, Universität Paderborn
Markus Wagner, Optimisation and Logistics Group, The University of Adelaide (Chair 2014 & 2015)
Members:
Peter Bosman, Intelligent Systems Group, Centrum Wiskunde & Informatica
Konrad Diwold, Forschungsgruppe Networks and Communication - Industrial Networks an Smart Grid Themen, Siemens Oesterreich
Fabian Gieseke, Computational Intelligence Group, Carl v. Ossietzky Universität
Jörg Lässig, Enterprise Application Development, Zittau/Görlitz University of Applied Sciences
Sanaz Mostaghim, Intelligent Systems Group, Otto von Guericke University Magdeburg
Frank Neumann, Optimisation and Logistics Group, The University of Adelaide
Francesco Piazza, Dipartimento di Ingegneria dell'Informazione - Università Politecnica delle Marche
Filipe Saraiva, Departamento de Engenharia Elétrica e Computação, Universidade de São Paulo
Bernhard Sick, Intelligent Embedded Systems, University of Kassel
Stefano Squartini, Dipartimento di Ingegneria dell'Informazione - Università Politecnica delle Marche
Dipti Srinivasan, Department of Electrical & Computer Engineering, National University of Singapore
Alexandru-Adrian Tantar, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg
Emilia Tantar, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg
Henrik te Heesen, Renewable Energy Technologies, Environmental Campus Birkenfeld, University of Applied Sciences Trier
Nils André Treiber, Computational Intelligence Group, Carl v. Ossietzky Universität