EvoENERGY 2013
Evolutionary Algorithms in Energy Applications
3-5 April 2013 - Vienna, Austria
http://www.evostar.org
INTRODUCTION
Along with the worldwide incentive to reduce fossil and
nuclear based power generation, the number of distributed
generators and other forms of distributed energy resources
which are installed in power networks has been steadily
increasing over the last years. This increased integration
has triggered a transformation of the energy system and
challenges the conventional operation of these networks.
On a network level, this transformation requires new control
and communication approaches, to guarantee the security of
energy supplies as well as an optimal exploitation of
available resources. On a generator level, advanced control
strategies as well as morphological optimization (e.g.,
tuning of wind-blade design) can help to assure an optimal
performance of the generator.
EvoEnergy is intended as a platform for new, innovative
computational intelligence and nature-inspired techniques in
the domain of energy-related optimization research. We seek
contributions ranging from new control concepts for
decentralized generation, strategies for their coordination
in the network to the morphological optimization of
distributed generators.
TOPICS
Topics of interest include, but are not limited to, any of
the following:
- management of distributed generation and storage
- evolutionary design and morphological optimization in
energy systems
- advanced distribution management system functionalities
- Smart Grid monitoring and control
- real time configurations of energy networks
- distributed optimization in energy networks
- grid planning and asset management
PUBLICATION DETAILS
Accepted papers will appear in the proceedings of EvoStar,
published as Springer Lecture Notes in Computer Science.
Submissions must be novel and original. Submissions will be
peer reviewed by at least three members of the program
committee and authors of accepted papers are required to
address the reviewer's comments to produce a camera-ready
version of their manuscripts. At least one author of each
accepted paper must register for the conference and attend
the conference to present their work.
The reviewing process will be double-blind and any
information that may identify the authors should be removed
from the initial submission. Please submit your contribution
to EvoENERGY in Springer LNCS format at
http://myreview.csregistry.org/evoapps13. The page limit is
10 pages.
IMPORTANT DATES
Submission deadline: 1 November 2012
Notification to authors: 21 December 2012
Camera-ready deadline: 15 January 2013
EvoStar event: 3-5 April 2013
CHAIRS
Konrad Diwold, Institute for Wind Energy and Energy System Technology,
konrad.diwold(at)iwes.fraunhofer.de
Kyrre Glette, University of Oslo, kyrrehg(at)ifi.uio.no
CONFIRMED PROGRAM COMMITTEE
Istvan Erlich (University of Duisburg-Essen)
Paul Kaufmann (Fraunhofer IWES)
Martin Middendorf (University of Leipzig)
Julian F. Miller (University of York)
Frank Neumann (University of Adelaide)
Peter Palensky (AIT: Austrian Institute of Technology)
Jan Ringelstein (Fraunhofer IWES)
Andy Tyrrell (University of York)
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