<p>Tackling energy poverty (EP) is crucial for attaining sustainable development and developing an equitable social order. However, studies on the impact of digital inclusive finance (DIF) on alleviating EP have failed to capture nonlinear effects and conditional differences. This study develops a comprehensive assessment framework for measuring energy poverty and investigates the average relationship between DIF and EP using the baseline regression model and their conditional differential relationships using moment quantile regression method with fixed effects. The study employs panel data from 30 Chinese provinces spanning the years 2011 to 2021. The results indicate that DIF can effectively mitigate EP, and this alleviation effect becomes more pronounced as the severity of energy poverty increases. Both linear and nonlinear empirical models demonstrate that urbanization can moderate their relationship. Moreover, this moderating effect is predominantly observed in the eastern and western regions of China and is more pronounced in provinces with lower financial development levels compared to those with higher levels. Furthermore, the effectiveness of DIF in reducing EP is enhanced once green innovation reaches a particular threshold. This research enhances comprehension of the role of DIF in the energy sector and offers crucial insights for tackling EP and promoting sustainable energy development.</p>