Shift Aware Transfer Learning with Adaptive Dual-Encoder Fusion for PM Forecasting in Data-Limited Environments
A shift-aware dual-encoder transfer framework that combines source-domain knowledge with target-specific representation learning is developed and suggests that source-domain knowledge is most effective when target-specific information is preserved and the transferred representation is allowed to adapt under target supe...