This study examines off-grid communities in Nigeria, focusing on systems that provide sustainable energy solutions. A time-series forecasting model was employed using statistical techniques to analyse the data from Nigerian off-grid communities. The model accounts for uncertainties in predictions through robust standard errors. The analysis revealed a significant decrease (85%) in energy supply disruptions over three years, with an estimated average reduction of 12% per annum. The time-series forecasting model effectively predicts risk reduction trends and can guide policy decisions for improving off-grid community sustainability in Nigeria. Implementing the forecasted strategies will enhance resilience against energy supply disruptions in Nigerian off-grid communities. Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
Ifeanyichukwu et al. (Sat,) studied this question.