- From: Rainer Unland <rainer.unland@icb.uni-due.de>
- Date: Sun, 22 Apr 2012 17:14:02 +0200
- To: undisclosed-recipients:;
- Message-ID: <4F94203A.4090606@icb.uni-due.de>
1st International Workshop on Smart Energy Networks & Multi-Agent
Systems (SEN-MAS'2012)
Wroclaw, Poland, September 9-12, 2012
http://www.fedcsis.org/sen-mas
Email to the Event Chairs :sen-mas2012@fedcsis.org
<mailto: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.
Topics
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://scholar.google.com/>,Inspec
<http://www.theiet.org/resources/inspec/index.cfm>,Scirus
<http://www.scirus.com/>, SciVerse Scopus
<http://www.scopus.com/>and Thomson Reuters - Conference Proceedings
Citation Index
<http://thomsonreuters.com/products_services/science/science_products/a-z/conf_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
<mailto:http://www.dawis.wiwi.uni-due.de/en/team/christian-derksen/>,University
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
<mailto:http://vsis-www.informatik.uni-hamburg.de/members/info.php/80>,University
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
<mailto:http://www.iwi.uni-leipzig.de/about-the-institute/team/prof-dr-bogdan-franczyk?set_language=en&cl=en>,University
of Leipzig <http://www.iwi.uni-leipzig.de/>, Germany
* Guttmann, Christian,Monash University <http://www.monash.edu.au/>,
Australia
* 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/>,
Germany
* 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/>,
Spain
* Werner, Andrej,University of Leipzig <http://www.uni-leipzig.de/>,
Germany
* 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/
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Received on Sunday, 22 April 2012 15:41:30 UTC