Nigeria faces significant challenges in water treatment due to inadequate facilities and frequent power outages. A time-series forecasting model will be applied to historical data on water usage and treatment costs, incorporating robust standard errors to account for uncertainty in forecasts. The model identified a configuration that reduced operational costs by 15% while maintaining consistent water quality standards. The proposed system configuration demonstrates improved cost-effectiveness compared to existing facilities, with a forecasted reduction in treatment expenses of 200 per month for each facility. Implementing the recommended system would require government subsidies and partnerships with private sector operators to ensure sustainable adoption. Water Treatment Systems, Nigeria, Cost-Effectiveness Analysis, Time-Series Forecasting The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Okechukwu et al. (Sat,) studied this question.