ENBIS-15 Energy Day

Events

  • 10 September 2015
  • Prague, Czech Republic
  • Organiser: ENBIS
  • Event Details

This special ENBIS-15 post-conference event to be held at the Czech Association of Scientific and Technical Societies will focus on modelling of smart grids as a challenge for stochastics and optimization.

Complex technical systems are influenced by internal characteristics, but may also depend on external (stochastic) factors and evolve over the time and/or space. The main goal of this workshop is to introduce advanced methods that are crucial for complete understanding of certain classes of complex systems, especially electricity production and distribution networks, and to use them to answer challenging questions in focused applications.

The modern energy distribution networks provided by communicative gauges (so called smart grids) allow us to handle more information than whenever in the past. Due to the advances in capturing technologies, the complexity of the data structures is often involved: different types of data, several sources of information of different precision of the measurements on the same (sub)system, few measurements on a large number of characteristics, etc. Although diverse information is to be applauded, extraction of the important information from these complex data becomes a real challenge.

Thus, the analysis of energy production and distribution networks based on advanced data structures faces important challenges for research, and can be translated in the following main objectives:

How to model and optimize behaviour of complex systems based on advanced data structures.
How to select from a large, very large, or even huge set of measured characteristics of possibly different nature and preciseness those which influence crucially variable(s) of interest, and how to make short-term predictions based on such data.
How to model changes in a model structure and/or trend of observed processes.


Topics
Modeling changes in a model structure and/or trend (Jaromir Antoch, Charles University in Prague, Czech Republic)
Modeling dynamics and short term prediction of complex processes (Marek Brabec, Academy of Sciences of Czech Republic)
Optimization based on mixed integer nonlinear programming (MINLP) methods (Claudia D’Ambrosio, CNRS LIX, Ecole Polytechnique, 
France)
Round table discussions about real problems and challenges (Alessandro Di Bucchianico, Eindhoven University of Technology, The Netherlands)

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