Open access
Sep 2026
Cluster-Aware Machine Learning for Heterogeneous Power Forecasting in a Smart Campus
This work proposes and justifies a cluster-aware approach partitioning data into K regimes such that D=⋃c=1KCc, and proposes and justifies a GA-XGBoost model, enabling an intermediate granularity between global and meter-level learning.
Fatima Aabadi, Y. Ben Maissa, Hamza Dahmouni et al.
· Smart Cities · 0 citations