Multi-agent systems and their role in future energy grids (Dagstuhl Seminar 14181)

Authors Michael N. Huhns, Wolfgang Ketter, Ryszard Kowalczyk, Fabrice Saffre, Rainer Unland and all authors of the abstracts in this report



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Michael N. Huhns
Wolfgang Ketter
Ryszard Kowalczyk
Fabrice Saffre
Rainer Unland
and all authors of the abstracts in this report

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Michael N. Huhns, Wolfgang Ketter, Ryszard Kowalczyk, Fabrice Saffre, and Rainer Unland. Multi-agent systems and their role in future energy grids (Dagstuhl Seminar 14181). In Dagstuhl Reports, Volume 4, Issue 4, pp. 37-48, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014) https://doi.org/10.4230/DagRep.4.4.37

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 14181 "Multi-agent systems and their role in future energy grids". A number of recent events (e.g. Fukushima, Japan, and the largest blackout in history, India) have once again increased global attention on climate change and resource depletion. The evaluation of the feasibility of current approaches for future energy generation, distribution, transportation, and consumption has become an
important requirement for most countries. There is a general consensus on the need for a fundamental transformation of future energy grids. The development of an information and communication technology (ICT) support infrastructure was
identified as the key challenge in the design of an end-to-end smart grid. A multiagent system, with agents located at the edges and nodes of the grid and representing the interests of end-users, distributors, and providers, enables intelligent decisions to be made at each node in the electric power distribution network (grid). The seminar fostered discussions among experts from all relevant disciplines is to develop the foundation for the necessary interdisciplinary solution from engineering, computer science, and business management. The outcome was an understanding and identification of the requirements on the information systems for future smart grids.

Subject Classification

Keywords
  • Multiagent Systems
  • Demand-Side Management
  • Smart Grid
  • Eneregy Distribution

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