Power distribution equipment systems (PDES) play a critical role in the efficient management of electrical energy supply in Tanzania. A time-series forecasting model was developed, incorporating historical data on the installation and usage patterns of PDES. The empirical findings suggest a steady increase in the proportion of households adopting PDES from 20% in to an estimated 35% by with a margin of error of ±5%. The time-series model accurately predicted the adoption rates, providing insights for policy makers and investors. Investment strategies should be tailored towards regions where PDES adoption is expected to grow rapidly based on the forecasted data. Power Distribution Equipment Systems, Time-Series Analysis, Forecasting, Adoption Rates, Tanzania The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.