Bayesian Hierarchical Model for Evaluating Cost-Effectiveness of Power-Distribution Equipment Systems in Senegal

In Senegal, power-distribution equipment systems play a critical role in ensuring reliable electricity supply to households and businesses. A Bayesian hierarchical model was developed using data from multiple power-distribution sites in Senegal. This model incorporates uncertainty through robust standard errors to estimate the cost-effectiveness of equipment systems across various conditions. The analysis revealed a significant variation (p < 0.05) in the cost-effectiveness metrics, indicating that regional and infrastructure-specific factors influence system performance. This study demonstrates how Bayesian hierarchical modelling can be used to assess power-distribution equipment systems' efficiency across diverse settings in Senegal. Future research could explore additional variables impacting system performance and validate findings through practical applications. The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.