The deployment of off-grid communities systems in Ethiopia has been a significant technological intervention to enhance energy access among rural populations. The research employs a DiD approach, leveraging pre- and post-intervention data from selected off-grid communities in Ethiopia. The study controls for potential confounding variables to isolate the impact of system deployment on adoption rates. Our analysis indicates that the DiD model successfully captures an increase in adoption rates by 15% within one year post-system installation, with a robust standard error indicating the reliability of this percentage change. The findings suggest that external incentives and community engagement significantly enhance the adoption of off-grid systems, offering valuable evidence for policy makers and implementers. Based on these results, it is recommended to strengthen community-based initiatives alongside system installation to maximise adoption rates in future deployments. Off-Grid Systems, Adoption Rates, Difference-in-Differences Model, Ethiopian Communities Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.