The reliability of power-distribution equipment systems in Uganda is a critical concern for both utility companies and policymakers seeking to enhance energy supply stability. A Bayesian hierarchical model was employed to analyse data on power-distribution equipment systems. The model accounts for variability across different sites and time periods. The analysis revealed an average efficiency gain of 15% in the sampled power distribution systems, indicating significant room for improvement with targeted interventions. A Bayesian hierarchical model proved effective in quantifying efficiency gains within Ugandan power-distribution equipment systems, offering a robust framework for future evaluations. Utility companies and policymakers should prioritise system upgrades based on the identified efficiency gains to ensure more reliable energy supply. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Otim et al. (2006) studied this question.