[agents] CfP: GECCO 2017 - Workshop on Evolutionary Algorithms for Smart Grids (SmartEA)

[Filipe Saraiva]

(Apologies for multiple copies of this CfP)

The Workshop on Evolutionary Algorithms for Smart Grids (SmartEA 2017)
[1] will be held on July 15th-19th 2017 in Berlin, Germany, as inside
the Genetic and Evolutionary Computation Conference (GECCO 2017) [2].

We are inviting all researchers from computational intelligence
applications to smart grid to submit papers to SmartEA. Please, see the
complete CfP below. The PDF version is available in [3].

Best regards;

[1] http://ci4energy.uni-paderborn.de/smartEA/
[2] http://gecco-2017.sigevo.org/index.html/
[3] http://ci4energy.uni-paderborn.de/assets/SmartEA-CfP.pdf



Description and Topics

Sustainability is of great importance due to increasing demands and
limited resources worldwide. In particular, in the field of energy
production and consumption, methods are required that allow to phase
generation and load efficiently. The vast extension of renewable and
distributed energy sources and the growing information infrastructure
enable a fine screening of producers and consumers, but require the
development of tools for the analysis and understanding of large
datasets about the energy grid. Key technologies in future ecological,
economical and reliable energy systems are energy prediction of
renewable resources, prediction of consumption as well as efficient
planning and control strategies for network stability.

To enable financially and ecologically viable projects, optimization
methods have taken over a key role for planning, optimizing and
forecasting sustainable systems. Typically, these approaches make use of
domain knowledge in order to achieve the required goal. Even in the case
that explicit domain knowledge is not available, specialized methods can
also handle large raw numerical sensory data directly, process them,
generate reliable and just-in-time responses, and have high fault tolerance.

The main goal of this workshop is to promote the research on
evolutionary algorithms in smart grids. We are seeking innovative
research articles including, but not limited to the following areas:

    Energy generation and load forecasting
    Demand side and smart home energy management
    Network Restoration
    Real-time control and optimization
    Smart micro-grids

Submitted work should put an emphasis on modeling of solution spaces, on
finding optimal representations and operators for evolutionary
algorithms, and on employing and developing advanced evolutionary
heuristics, e.g., for step size control, constraint handling, dynamic
solution spaces, and multiple conflictive objectives.
Important Dates

    Submission deadline: April 1st, 2017
    Notification of acceptance: April 15th, 2017
    Camera-ready submission: May 6th, 2017
    Conference: July 15-19, 2017

Submission Guidelines

We invite submissions of two types of paper:

    Research papers: up to 8 pages long
    Position papers: 2 pages long

We encourage authors to submit early and in-progress work. The workshop
emphasises interaction and discussion.

All papers should be in ACM (Association for Computing Machinery)
format. Please see GECCO 2017 for details. Papers should not be
anonymised. All papers should be submitted in PDF format to Paul
Kaufmann (paul.kaufmann at uni-paderborn.de). All accepted papers will will
appear in the GECCO workshop volume.