Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments
This study proposes a reliability prediction framework addressing multi-stress degradation in harsh marine atmospheres, integrating an enhanced Transformer with multi-scale attention, a Bidirectional Long Short-Term Memory network for local degradation patterns, and a standard Transformer, unified through particle swar...