HXAI: hierarchical privacy-preserving explainable AI for distributed energy systems (arXiv:2610.02504v1)
Authors introduce HXAI, a hierarchical framework that combines local explainable models (kept private at the household/appliance level) with a zonal aggregator that enforces differential-privacy budgets to support grid-level demand management. Experiments on simulated and real-world energy datasets show HXAI preserves decision-relevant explanation structure for zonal load management while keeping appliance-level consumption local and undisclosed.