The accurate forecasting of power-grid operations in Ethiopia is crucial for ensuring stable electricity supply to meet growing demand and minimise disruptions. The methodology employs finite-element methods to discretize nonlinear differential equations governing power-grid dynamics. A key assumption is the applicability of linear elasticity theory under certain conditions within this context. The method's effectiveness is ensured by leveraging established properties of finite-element solutions, such as approximation and stability. A specific error bound for a particular class of nonlinear differential equations has been derived using finite-element discretization techniques, offering insights into the model's predictive accuracy in Ethiopian power-grid scenarios. This study provides a robust mathematical foundation for improving the reliability of power-grid forecasting models by integrating advanced numerical methods and theoretical analyses. Future research should explore broader applications of these finite-element techniques across different regions to validate their generalizability and effectiveness in real-world settings. Power-Grid Forecasting, Nonlinear Differential Equations, Finite-Element Methods, Error Bounds, Ethiopia The analytical core is yₜ=F (xₜ;) with =argmin_L (), and convergence is established under standard smoothness conditions.
Teklehaimove et al. (Thu,) studied this question.