Armin Khazaei

Heterogeneity-aware model-agnostic meta-learning for residential building energy prediction

This study proposes a heterogeneity-aware model-agnostic meta-learning framework driven by a deep generative pre-categorization strategy (Cat-MAML), which significantly outperforms both a global baseline and vanilla MAML, highlighting its immense practical value for scalable, data-limited residential energy management.