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CfP 1st Int. WS on Smart Energy Networks & Multi-Agent Systems (SEN-MAS'2012), Wroclaw, Poland, September 9-12, 2012 Deadline 14.05.2012

From: Rainer Unland <rainer.unland@icb.uni-due.de>
Date: Sun, 22 Apr 2012 17:14:02 +0200
Message-ID: <4F94203A.4090606@icb.uni-due.de>
To: undisclosed-recipients:;

  1st International Workshop on Smart Energy Networks & Multi-Agent
  Systems (SEN-MAS'2012)

        Wroclaw, Poland, September 9-12, 2012


      Email to the Event Chairs :sen-mas2012@fedcsis.org

      Important Dates

  * Paper submission:May 14*, 2012*
  * Author notification:*June 17, 2012*
  * Final submission and registration:*July 8, 2012*
  * Conference date: September*9-12, 2012*

The emerging smart infrastructure in energy networks represents a major 
paradigm shift in resource allocation management with the aim to extend 
the centralised supply management model, towards a decentralised 
supply-and-demand management that is expected to enable more efficient, 
reliable and environment-friendly utilisation of primary energy resources.

Together with this vision, there are new and complex tasks to manage, in 
order to ensure safe, cost-reducing and reliable energy network 
operations. This includes the integration of various renewable energy 
systems, like the photovoltaic or the wind energy, which are able to 
reduce the greenhouse gas emissions but that are working under greater 
uncertainty; as well as the interaction of transport and storage systems 
for energy that are envisioned through techniques like 'Power to Gas' 
and fuel cells, which are using the electrical and the gas 
transportation network.

Further tasks can be found in the fact that the market participants 
(e.g. simply households) are becoming more autonomous and intelligent 
through technologies like smart metering, which requires a coordinated 
demand side management for millions of producers, consumers or, if this 
applies, prosumers by means negotiations and agreements.

Information and communication technologies are key enablers of the 
envisioned efficiencies, both on the demand and the supply sides of the 
smart energy networks, where the agent-paradigm provides an excellent 
first modelling approach for the distributed characteristic in energy 
supply systems. On the demand side they aim at supporting end-users in 
optimising their individual energy consumption, e.g. through the 
deployment of smart meters providing real-time usage and cost of the 
energy and the use of demand-response appliances that can be controlled 
according to the user preferences, energy cost and carbon footprint. On 
the supply side they aim at optimising the network load and reliability 
of the energy provision, e.g. through active monitoring and prediction 
of the energy usage patterns, and proactive control and management of 
the reliable energy delivery over the networks. It is also envisaged 
that they will be able to influence the demand through the dynamic 
adjustments of the energy price in order to influence the end user 
behaviour and energy usage patterns throughout and across the energy 
networks for electricity, gas and heat.

Although a significant effort and investment have been already allocated 
into the development of smart grids, there are still significant 
research challenges to be addressed before the promised efficiencies can 
be realised. This includes distributed, collaborative, autonomous and 
intelligent software solutions for simulation, monitoring, control and 
optimization of smart energy networks and interactions between them.


The SEN-MAS 2012 Workshop aims at providing a forum for presenting and 
discussing recent advances and experiences in building and using 
multi-agent systems for modelling, simulation and management of smart 
energy networks. In particular, it includes (but is not limited to) the 
following topics of interest:

  * Experiences of Smart Grid implementations by using MAS
  * Applications of Smart Grid technologies
  * Management of distributed generation and storage
  * Islands Power Systems, Microgrid Applications
  * Real time configurations of energy networks
  * Distributed planning process for energy networks by using MAS
  * Self-configuring or self-healing energy systems
  * Load modelling and control with MAS
  * Simulations of Smart Energy Networks
  * Software Tools for Smart Energy Networks
  * Energy Storage
  * Electrical Vehicles
  * Interactions and exchange between networks for electricity, gas and heat
  * Stability in Energy Networks
  * Distributed Optimization in Energy Networks

      Paper Submission and Publication

  * Papers will be refereed and accepted on the basis of their
    scientific merit and relevance to the symposium.
  * Only papers presented at the conference will be included in theIEEE
    Xplore® database
    <http://ieeexplore.ieee.org/Xplore/guesthome.jsp>and submitted for
    indexation in:DBLP Computer Science Bibliography
    <http://dblp.uni-trier.de/>,Google Scholar
    <http://www.scirus.com/>, SciVerse Scopus
    <http://www.scopus.com/>and Thomson Reuters - Conference Proceedings
    Citation Index
  * Authors should submit draft papers (as Postscript, PDF of MSWord file)
  * The total length of a paper should not exceed 8 pages (IEEE style).
    IEEE style templates are availablehere
    <http://www.fedcsis.org/?q=node/15>. (http://www.fedcsis.org/node/15)
  * Selected papers presented at the workshop will be invited for a
    journal publication in a special issue ofMAGS - Multiagent and Grid
    Systems <http://dawis2.icb.uni-due.de/mags/index.php/mags>.
  * Organizers reserve right to move accepted papers between FedCSIS events.

  Event Chairs

  * Derksen, Christian
    Duisburg-Essen <http://www.dawis.wiwi.uni-due.de/en/>, Germany
  * Kowalczyk, Ryszard,Swinburne University of Technology
    <http://www.swinburne.edu.au/>, Australia

  Program Committee

  * Braubach, Lars
    of Hamburg <http://vsis-www.informatik.uni-hamburg.de/>, Germany
  * Dillon, Tharam,Curtin University <http://www.curtin.edu.au/>, Australia
  * Elammari, Mohamed, University of Benghazi, Libya
  * Essaaidi, Mohammad <mailto:http://www.ensias.ma>,National Higher
    School of IT (ENSIAS) <http://www.fedcsis.org/sen-mas/Rabat>, Morocco
  * Franczyk, Bogdan
    of Leipzig <http://www.iwi.uni-leipzig.de/>, Germany
  * Guttmann, Christian,Monash University <http://www.monash.edu.au/>,
  * Huhns, Michael <mailto:http://www.cse.sc.edu/%7Ehuhns>,University of
    South Carolina <http://www.sc.edu/>, United States
  * Klusch, Matthias,German Research Center for Artificial Intelligence,
    DFKI <http://www.dfki.de/>, Germany
  * Lamersdorf, Winfried,Universität Hamburg
    <http://www.uni-hamburg.de/>, Germany
  * Lehnhoff, Sebastian,OFFIS - Institute for Information Technology
    <http://www.offis.de/en>, Germany
  * Linnenberg, Tobias,Helmut Schmidt University
    <http://www.hsu-hh.de/>, Germany
  * Maamar, Zakaria, Zayed University, United Arab Emirates
  * Moench, Lars,FernUniversität Hagen <http://www.fernuni-hagen.de/>,
  * Nahorski, Zbigniew,Systems Research Institute - Polish Academy of
    Science <http://www.ibspan.waw.pl/glowna/en>, Poland
  * Schüller, Andreas,RWTH Aachen <http://www.rwth-aachen.de/>, Germany
  * Sonnenschein, Michael,Carl von Ossietzky University, Oldenburg
    <http://www.uni-oldenburg.de/en/>, Germany
  * Szle;zak, Robert,Wschodni Klaster ICT
    <http://www.wschodni.klaster-ict.pl/>, Poland
  * Tianfield, Hua,Glasgow Caledonian University
    <http://www.gcu.ac.uk/>, United Kingdom
  * Unland, Rainer,Universität Duisburg-Essen
    <http://www.fedcsis.org/sen-mas/Sch%C3%BCtzenbahn%2070>, Germany
  * Vasirani, Matteo,Universidad Rey Juan Carlos <http://www.urjc.es/>,
  * Werner, Andrej,University of Leipzig <http://www.uni-leipzig.de/>,
  * Zhu, Hong,Oxford Brookes University <http://www.brookes.ac.uk/>,
    United Kingdom


"Experience is this valuable asset which allows us to identify the
mistake immediately when we are doing it again and again!"

"Erfahrung ist jener kostbare Besitz, der uns befähigt, einen Fehler
sofort zu erkennen, wenn wir ihn immer wieder machen."

Prof. Dr. Rainer Unland
University of Duisburg-Essen
Institute for Computer Science and Business Information Systems (ICB)
Practical Computer Science, especially Data Management Systems and
Knowledge Representation
Schuetzenbahn 70
45117 Essen, Germany
Tel.: (+49) 201-183 3421
IP-Tel. Skype: unlandr Fax: (+49) 201-183 4460
Email: Rainer.Unland at icb.uni-due.de
WWW: http://www.dawis.wiwi.uni-due.de/
Received on Sunday, 22 April 2012 15:41:21 UTC

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