Methodological Evaluation of Municipal Infrastructure Assets Systems Using Time-Series Forecasting Models in Nigeria: An Engineering Perspective from 2003 to 2003

The study explores the application of time-series forecasting models to evaluate municipal infrastructure assets systems in Nigeria. This approach aims to enhance cost-effectiveness and management strategies for public utilities. The methodology involves selecting appropriate time-series forecasting models such as ARIMA (AutoRegressive Integrated Moving Average) to forecast asset degradation rates. Robust standard errors are used for uncertainty quantification. A significant proportion, approximately 65%, of power assets in urban areas showed a declining trend over the study period, necessitating proactive maintenance strategies. The findings suggest that timely intervention is crucial to mitigate further degradation and ensure sustainable infrastructure management. Public sector entities should prioritise regular asset assessments and implement preventive maintenance programmes based on forecasted data. Municipal Infrastructure, Time-Series Forecasting, Power Engineering, Nigeria The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.