Energy Future: Innovation Based on Time, Synergy and Innovation Factors

  • Eunika Mercier-Laurent
  • Gülgün Kayakutlu
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 149)


Computational intelligence has been widely used to analyse the complex problems in the energy field. Examples of using different methods in energy applications for economic, strategic and operational analysis in the energy field. Forecasting and Performance analysis examples are shown as a support for decision makers. This article is the conclusion of the book defining a new vision for the energy future based on innovation. A computational model is proposed to give a new dimension for the decision makers in the energy field. The novel mathematical model is defined to consider the energy future based on the innovation impacts complemented with the time, synergy and system approaches.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.CReSTIC EA 3804 UFR Sciences Exactes et NaturellesReims CEDEX 2France
  2. 2.Istanbul Technical University ArdennesMacka, Besiktas, IstanbulTurkey

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