Strategic integration of fintech in smart grids using fuzzy logic: Enhancing operational efficiency and sustainable energy management

This research paper explores the strategic integration of Fintech innovations within smart grid systems, utilizing fuzzy logic to enhance operational efficiency and promote sustainable energy management. The study begins by identifying the key challenges faced by modern power systems, particularly in the context of integrating Fintech solutions with smart grid technologies. A comprehensive system model is developed, incorporating fuzzy logic algorithms to optimize decision-making processes related to energy distribution, financial transactions, and resource allocation within smart grids. The methodology involves simulating the proposed system using MATLAB, where fuzzy logic is applied to model and analyze the dynamic interactions between financial mechanisms and energy flows. The simulation results are meticulously analyzed to assess the performance improvements in terms of operational efficiency, reliability, and scalability. A comparative analysis with traditional models is also conducted, demonstrating the superiority of the fuzzy logic-based approach in managing uncertainties and enhancing system resilience. The findings of this study provide significant insights into the practical implications of Fintech integration in smart grids, offering novel perspectives for energy market participants, power system operators, and policymakers. The research concludes with recommendations for further exploration of fuzzy logic applications in smart grid systems and the potential for broader adoption of Fintech solutions in the energy sector.