Abstract
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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References
Adler, C. O., & Dagli, C. H. (2012). Enabling systems and the adaptability of complex systems-of-systems. Procedia Computer Science, 12, 31–36. https://doi.org/10.1016/j.procs.2012.09.025.
Araújo, K. (2014). The emerging field of energy transitions: Progress, challenges, and opportunities. Energy Research & Social Science, 1, 112–121. https://doi.org/10.1016/j.erss.2014.03.002.
Burke, M. J., & Stephens, J. C. (2017). Political power and renewable energy futures: A critical review. Energy Research & Social Science. https://doi.org/10.1016/j.erss.2017.10.018.
Crandall, K. et al. (2014). Turning a vision to reality: Boulder’s utility of the future. Distributed Generation and its Implications for the Utility Industry, 435–452. https://doi.org/10.1016/b978-0-12-800240-7.00022-9.
Duxbury, N., Kangas, A., & De Beukelaer, C. (2017). Cultural policies for sustainable development: Four strategic paths. International Journal of Cultural Policy, 23(2), 214–230. https://doi.org/10.1080/10286632.2017.1280789.
Gaziulusoy, A. I., & Brezet, H. (2015). Design for system innovations and transitions: A conceptual framework integrating insights from sustainablity science and theories of system innovations and transitions. Journal of Cleaner Production, 108, 1–11. https://doi.org/10.1016/j.jclepro.2015.06.066.
Grubb, M., McDowall, W., & Drummond, P. (2017). On order and complexity in innovations systems: Conceptual frameworks for policy mixes in sustainability transitions. Energy Research and Social Science. https://doi.org/10.1016/j.erss.2017.09.016.
Johansen, J. P., & Røyrvik, J. (2014). Organizing synergies in integrated energy systems. Energy Procedia, 58, 24–29. https://doi.org/10.1016/j.egypro.2014.10.404.
Juárez, A. A., Araújo, A. M., Rohatgi, J. S., & de Oliveira Filho, O. D. Q. (2014). Development of the wind power in Brazil: Political, social and technical issues. Renewable and Sustainable Energy Reviews, 39, 828–834. https://doi.org/10.1016/j.rser.2014.07.086.
Kayakutlu, G. & Mercier-Laurent, E. (2017). 5-future of energy. Intelligence in Energy, 153–198. https://doi.org/10.1016/B978-1-78548-039-3.50005-5.
Koirala, B. P., Koliou, E., Friege, J., Hakvoort, R. A., & Herder, P. M. (2016). Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems. Renewable and Sustainable Energy Reviews, 56, 722–744. https://doi.org/10.1016/j.rser.2015.11.080.
Kuzemko, C., Lockwood, M., Mitchell, C., & Hoggett, R. (2016). Governing for sustainable energy system change: Politics, contexts and contingency. Energy Research & Social Science, 12, 96–105. https://doi.org/10.1016/j.erss.2015.12.022.
Kwapień, J., & Drożdż, S. (2012). Physical approach to complex systems. Physics Reports, 515(3–4), 115–226. https://doi.org/10.1016/j.physrep.2012.01.007.
Lee, C.-C., & Chang, C.-P. (2008). Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data. Resource and Energy Economics, 30(1), 50–65. https://doi.org/10.1016/j.reseneeco.2007.03.003.
Mercier-Laurent, E. (2009). Digital ecosystems for the knowledge economy, invited talk MEDES 09. http://sigrappfr.acm.org/MEDES/09/keynotes.php.
Mercier-Laurent, E. (2011). Innovation ecosystems. Wiley. https://doi.org/10.1002/9781118603048.
Mercier-Laurent, E. (2015). The innovation biosphere: Planet and brains in the digital era. Wiley-ISTE. ISBN: 978-1-848-21556-6.
Miller, C. A., O’Leary, J., Graffy, E., Stechel, E. B., & Dirks, G. (2015). Narrative futures and the governance of energy transitions. Futures, 70, 65–74. https://doi.org/10.1016/j.futures.2014.12.001.
Nagurney, A. (1999). Network economics: A variational inequality approach. Finance. https://doi.org/10.1007/978-94-011-2178-1.
Navarro-González, F. J., & Villacampa, Y. (2013). Generation of representation models for complex systems using Lagrangian functions. Advances in Engineering Software, 64, 33–37. https://doi.org/10.1016/j.advengsoft.2013.04.015.
Peck, P., & Parker, T. (2015). The “sustainable energy concept”—Making sense of norms and co-evolution within a large research facility’s energy strategy. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2015.09.121.
Rammel, C., Stagl, S., & Wilfing, H. (2007). Managing complex adaptive systems—A co-evolutionary perspective on natural resource management. Ecological Economics, 63(1), 9–21. https://doi.org/10.1016/j.ecolecon.2006.12.014.
Ruotsalainen, J., Karjalainen, J., Child, M., & Heinonen, S. (2017). Culture, values, lifestyles, and power in energy futures: A critical peer-to-peer vision for renewable energy. Energy Research & Social Science, 34, 231–239. https://doi.org/10.1016/j.erss.2017.08.001.
Sgobbi, A., Simões, S. G., Magagna, D., & Nijs, W. (2016). Assessing the impacts of technology improvements on the deployment of marine energy in Europe with an energy system perspective. Renewable Energy, 89, 515–525. https://doi.org/10.1016/j.renene.2015.11.076.
Shaikh, P. H., Nor, N. B. M., Sahito, A. A., Nallagownden, P., Elamvazuthi, I., & Shaikh, M. S. (2017). Building energy for sustainable development in Malaysia: A review. Renewable and Sustainable Energy Reviews, 75, 1392–1403. https://doi.org/10.1016/j.rser.2016.11.128.
Toba, A.-L., & Seck, M. (2016). Modeling social, economic, technical & environmental components in an energy system. Procedia Computer Science, 95, 400–407. https://doi.org/10.1016/j.procs.2016.09.353.
United Nations. (2017). Katowice announced as host venue of UN climate change conference COP 24 in 2018. Available at: http://newsroom.unfccc.int/unfccc-newsroom/katowice-announced-as-host-venue-of-un-climate-change-conference-cop-24-in-2018/. Accessed: December 10, 2017.
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Mercier-Laurent, E., Kayakutlu, G. (2018). Energy Future: Innovation Based on Time, Synergy and Innovation Factors. In: Kahraman, C., Kayakutlu, G. (eds) Energy Management—Collective and Computational Intelligence with Theory and Applications. Studies in Systems, Decision and Control, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-319-75690-5_24
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