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Modeling the renewable energy development in T¨urkiye with optimization
            Thus, the conditions that should be satisfied by  [10] B¨ol¨uk, G., & Mert, M. (2015). The renewable
            the optimum solution of MAEOPT are the ones           energy, growth and environmental Kuznets curve
            listed in equations 33, 35, and 36.                   in T¨urkiye: An ARDL approach. Renewable and
                                                                  Sustainable Energy Reviews, 52, 587-595. https:
                                                                  //doi.org/10.1016/j.rser.2015.07.138
            Acknowledgments
                                                              [11] Pata, U. K. (2018). Renewable energy consump-
            None.                                                 tion, urbanization, financial development, income
                                                                  and CO2 emissions in T¨urkiye: Testing EKC
                                                                  hypothesis with structural breaks. Journal of
            Funding
                                                                  Cleaner Production, 187, 770-779. https://do
            None.                                                 i.org/10.1016/j.jclepro.2018.03.236
                                                              [12] Mukhtarov, S., Y¨uksel, S., & Din¸cer, H. (2022).
                                                                  The impact of financial development on re-
            Conflict of interest
                                                                  newable energy consumption:  Evidence from
            The author declare that they have no conflict of      T¨urkiye.Renewable Energy, 187, 169-176. https:
            interest regarding the publication of this article.   //doi.org/10.1016/j.renene.2022.01.061
                                                                                       ¨
                                                              [13] Deveci, K., & G¨uler, O. A. (2020). CMOPSO
                                                                  based multi-objective optimization of renewable
            Author contributions
                                                                  energy planning: Case of T¨urkiye. Renewable En-
            This is a single-authored article.                    ergy; 155,578-590. https://doi.org/10.1016/
                                                                  j.renene.2020.03.033
                                                                  ¨
                                                              [14] Ozmen, A. (2022). Multi-objective regression
            Availability of data
                                                                  modeling for natural gas prediction with ridge re-
            Not applicable.                                       gression and CMARS. An International Journal
                                                                  of Optimization and Control: Theories & Appli-
                                                                  cations 12,56-65. https://doi.org/10.11121/i
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