Budría, Santiago; Fermé, Eduardo; Freitas, Diogo Nuno - 2025
Identifying at-risk populations is essential for designing effective energy poverty interventions. Using data from the HILDA Survey, a longitudinal dataset representative of the Australian population, and a multidimensional index of energy poverty, we develop a machine learning model combined...