The prevalence of energy poverty as a major challenge in numerous countries, the escalating energy crisis that … energy poverty schemes, enabling the accurate prediction of energy vulnerable households via objective, publicly available … algorithms, most of our analysis is performed using a Random Forest classifier. Our approach to explore energy poverty beyond …

Poverty statistics are conventionally compiled using data from household income and expenditure survey or living … standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available … geospatial data can accurately predict the spatial distribution of poverty in Thailand. In particular, geospatial data examined …