An STL–attention-TFT ensemble for multi-horizon time series forecasting with application to dam deformation
Accurate multi-horizon forecasting of dam deformation is critical for proactive structural health monitoring and early warning in large hydraulic infrastructures. However, long-term displacement responses exhibit interacting trend, seasonal, and irregular components driven by hydrostatic, thermal, and aging effects,...