Power-distribution equipment systems in Ethiopia face challenges related to reliability and maintenance, necessitating robust evaluation methods. A time-series forecasting model was employed using historical data from Ethiopian power distribution systems. The model included autoregressive integrated moving average (ARIMA) methodology to predict future reliability trends with a confidence interval of ±10%. The ARIMA model indicated an upward trend in system reliability, predicting a 5% increase over the next five years. This study demonstrated the effectiveness of time-series forecasting for evaluating power distribution equipment reliability in Ethiopia, offering a methodological framework for future research and policy development. The findings should inform maintenance strategies and resource allocation to enhance system performance and efficiency. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Abraha et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: