Special Issue "Modern Computational Methods for Flexibility Control"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electrical Power and Energy System".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editors

Dr. Steffen Finck
Guest Editor
Research Center Business Informatics, Vorarlberg University of Applied Sciences, 6850 Dornbirn, Austria
Interests: evolutionary computation; artificial intelligence; algorithm design; benchmarking of algorithms; optimization and simulation
Dr. Peter Kepplinger
Guest Editor
Research Center Energy, Vorarlberg University of Applied Sciences, 6850 Dornbirn, Austria
Interests: demand side management; integration of renewables; system dynamics

Special Issue Information

Dear Colleagues,

We would like to invite your contributions to the Energies Special Issue “Modern Computational Methods for Flexibility Control”. In the past decade, load and demand side management for energy systems has increased in complexity due to the growing importance of elements with uncertainties. Thermal or electrothermal storage systems provide potential flexibilities to shift the loads. At the same time, smart devices and smart grids provide access to more data than before, which fosters utilization of these flexibilities to schedule their deployment.

In other fields, such dynamic and uncertain systems are successfully tackled with methods from the field of Evolutionary Computation and Machine Learning. These methods may be able to provide robust solutions, more adaptive systems, and can work in large data-driven environments.

This Special Issue therefore invites contributions that investigate the use of such methods for dealing with flexibility control problems within energy and power systems. Topics of interest include but are not limited to:

  • Optimization and control of flexibilities;
  • Demand side management;
  • Load and power grid management;
  • Prediction for prices or demands;
  • Application of Evolutionary Computation or Machine Learning.

Dr. Steffen Finck
Dr. Peter Kepplinger
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Energy storage systems
  • Smart grid
  • Evolutionary computation
  • Prediction
  • Optimization
  • Demand-side management
  • Control
  • Scheduling
  • Machine learning

Published Papers

This special issue is now open for submission.
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