Friday, January 16, 2015

[DMANET] Elsevier Renewable Energy Special Issue on Optimization Methods in Renewable Energy Systems Design

Special Issue on Optimization Methods in Renewable Energy Systems Design

Renewable Energy Journal (5 year IF: 3.456)


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 produce energy in an
efficient way, as well as to develop methods for the efficient usage of
energy. The vast extension of energy sources and the growing information
structure allow a fine screening of energy resources, but also require the
development of tools for the analysis and understanding of huge 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 Special Issue (SI) is to promote the research on
optimization methods for their application to the renewable energy
production and consumption domain.


We are seeking articles including (but not limited to):

- Algorithms for modeling, control, and optimization
- Prediction of wind and photovoltaic energy
- Prediction and monitoring of energy consumption
- Communication and control
- Demand side management
- Distributed energy resources
- Methods and algorithms for real-time analysis
- Planning, operation and control
- Plug-in vehicles
- Renewable energy
- Smart micro-grids
- Smart sensing
- Virtual power plants


Submission deadline: 31st March 2015
Reviews by: 15st May 2015
Revision by: 30st June 2015
Final decision by: 15th August 2015
Publication: late 2015

Review articles on specific topics listed above are also very welcome.


Manuscripts have to be prepared according to the instructions of the
"Author Information Pack" of the journal, available at

Papers have to be submitted through Elsevier's journal website: The submission system for this special issue
will open in early 2015. Authors must select this 'SI: Optimization in RE'
when asked by the online system 'Please Select an Article Type'. Submitted
papers will be reviewed by at least three reviewers. The submission of a
manuscript implies that it is the authors' original unpublished work and is
not being submitted for possible publication elsewhere.


Dr. Paul Kaufmann, University of Paderborn, Germany
Jun.-Prof. Dr. Oliver Kramer, Carl v. Ossietzky Universitaet, Germany
Assoc Prof. Dr. Frank Neumann, The University of Adelaide, Australia
Dr. Markus Wagner, The University of Adelaide, Australia

This Special Issue is an activity of the IEEE CIS Task force on
Computational Intelligence in the Energy Domain,

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