[DMANET] CfP: EvoENERGY 2015 - Evolutionary Algorithms in Energy Applications

EvoENERGY 2015, 8-10 April, Copenhagen, Denmark

Evolutionary Algorithms in Energy Applications


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:

- evolutionary design and morphological optimization in energy systems
- management and prediction of distributed generation, storage and consumption
- advanced distribution management system functionalities
- Smart Grid planning, monitoring, operation and control
- distributed optimization in energy networks
- demand side management
- novel methods for network restoration


PUBLICATION AND SUBMISSION DETAILS

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, http://www.evostar.org/2015/cfp_evoapps.php
Please provide up to five keywords in your Abstract
Page limit: 12 pages
Submission page: http://myreview.csregistry.org/evoapps15/


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Best papers will be invited for a Special Issue to be edited with the
Journal of Renewable Energy, Elsevier, 5 year IF: 3.456; the SI is
organized by IEEE TF on Computational Intelligence in the Energy Domain
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http://tinyurl.com/si-energy http://tinyurl.com/IEEE-TF-ENERGY
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IMPORTANT DATES

Submission Deadline: 15 November 2014
Notification: 07 January 2015
Camera-ready: 21 January 2015
EvoStar dates: 8-10 April 2015, Copenhagen, Denmark


CHAIRS

Paul Kaufmann, University of Paderborn, paul.kaufmann(at)gmail.com
Kyrre Glette, University of Oslo, kyrrehg(at)ifi.uio.no


CONFIRMED PROGRAM COMMITTEE

Konrad Diwold, Fraunhofer Institute for Wind and Energy System Technology, Kassel, Germany
Ralph Evins, Laboratory of Building Science and Technology, Empa, Switzerland
Oliver Kramer, University of Oldenburg, Germany
Ingo Mauser, FZI Karlsruhe, Germany
Martin Middendorf, University of Leipzig, Germany
Maizura Mokhtar, University of Sheffield, UK
Sanaz Mostaghim, University of Magdeburg, Germany
Frank Neumann, University of Adelaide, AU
Peter Palensky, Austrian Institute of Technology, Austria
Cong Shen, University of Kassel, Germany
Bernhard Sick, University of Kassel, Germany
Andy Tyrrell, University of York, UK
Markus Wagner, University of Adelaide, AU
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