Monday, September 23, 2013

[DMANET] 2nd CFP: EvoENERGY 2014

EvoENERGY 2014
Evolutionary Algorithms in Energy Applications
23-25 April 2014 - Baeza, Spain


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 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
- energy demand reduction through evolutionary design optimisation


Accepted papers will appear in the proceedings of EvoStar, published in a
volume of the Springer Lecture Notes in Computer Science, which will be
available at the Conference.

Submissions must be original and not published elsewhere. The submissions will
be peer reviewed by at least three members of the program committee. The
authors of accepted papers will have to improve their paper on the basis of
the reviewers comments and will be asked to send a camera ready version of
their manuscripts. At least one author of each accepted work has to register
for the conference and attend the conference and present the work. The
reviewing process will be double-blind, please omit information about the
authors in the submitted paper.

Submission format: Springer LNCS (see EvoENERGY web page)
Page limit: 12 pages
Submission page:


Submission deadline: 1 November 2013
Camera ready:
EvoENERGY: 23-25 April 2014


Paul Kaufmann, University of Kassel, paul.kaufmann(at)
Kyrre Glette, University of Oslo, kyrrehg(at)


Andy Tyrrell, University of York, UK
Frank Neumann, University of Adelaide, AU
Jan Ringelstein, Fraunhofer Institure for Wind Technology and Energy System Technology, Germany
Kalyan Veeramachaneni, MIT Computer Science and Artificial Intelligence Laboratory, US
Konrad Diwold, Fraunhofer Institure for Wind Technology and Energy System Technology, Germany
Maizura Mokhtar, University of Central Lancashire, UK
Martin Middendorf, University of Leipzig, Germany
Peter Palensky, Austrian Institute of Technology, Austria
Ralph Evins, Laboratory of Building Science and Technology, Empa, Switzerland
Sanaz Mostaghim, Karlsruhe Institute of Technology, Germany
Una-May O'Reilly, MIT Computer Science and Artificial Intelligence Laboratory, US

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