ASYMMETRIC CONTINUOUS-TIME NEURAL NETWORKS WITHOUT LOCAL TRAPS FOR SOLVING CONSTRAINT SATISFACTION PROBLEMS.



A comparative study of advanced evolutionary algorithms for optimizing microgrid performance under dynamic pricing conditions

Abstract The integration of microgrids into the existing power system framework enhances the reliability and efficiency of the utility grid.This manuscript presents an innovative mathematical paradigm designed for the optimization of both the structural and operational aspects of a grid-connected microgrid, leveraging the principles of Demand-Side

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